District attorneys rarely prosecute Mexican nationals for Cannabis related crimes on public lands

According to personal accounts, High Sierra volunteers dedicate their time because they feel a sense of land stewardship and an obligation to deter growers from returning to cultivated areas. Without the regular coordination of cleanup efforts by non-profit organizations such as the High Sierra Volunteer Trail Crew, site reclamation would be much less feasible. Volunteer groups rotate from site to site for efficient cleanup, but liability issues extend the time frame before they are allowed to enter any site, if they are allowed entry at all. Even though it has become common for volunteer groups to clean up cultivated landscapes, there remain major bureaucratic barriers that prevent the full utilization of volunteers. Even with sites secured by law enforcement officers, people face an array of hazards on the rugged hikes and potentially dangerous sites. Government agencies therefore require waivers of liability and extensive precautions against injury such as an armed security escort, proper clothing, hard hats, gloves, and use of established trails among other precautions. The reality of remote DTO cultivation negates the romanticized visions of hippies, young experimenters, or mom and pop cultivators growing weed in their backyards. Almost 160,000 plants were eradicated from the national forests in 1983.83 In 2006, after the firm establishment of DTOs in the US, 6,305,202 marijuana plants were eradicated from national forests throughout the United States, over half of which were in California. In the words of rap artist Immortal Technique, “this is big business, this is the American way.” The scale of marijuana production in the United States has boomed in the past thirty years, causing proportional changes in the scale of the market,cannabis grow lights environmental destruction, and safety hazards. The spread of information concerning the problems caused by industrial scale marijuana production has significantly increased, but much more must still be done.

The prevalence of cooperative counter-cultivation efforts shows that the response to DTO cultivation is no longer the burden of a handful of agencies, but of every institution and person with vested interests in public lands. By building working relationships, agencies and people can combine money, labor and strategic resources to make these cooperative efforts a more powerful force. However, until they incorporate holistic approaches for prevention, reclamation, and investigative follow through, their potential impact on remote Cannabis cultivation will never be realized. It will require a combination of new law enforcement strategies, long term investment of the necessary resources, and drastic changes in public policy to change the current trends in marijuana production on public lands. “This issue has been intensifying for several years. The risk to those profiting has been minimal. The incentives to continue have been enormous. To be effective, we must commit to a well designed, long term collaborative strategy.”84 The changes that must take place can only occur over time: investigations need to produce results; central agencies need to conduct regular assessments of their effectiveness and adapt their methods; resources need to be allocated for site processing; citizens need to be educated about the issue; public officials need to reconsider current policies. Preventative law enforcement efforts have proven more effective than previous methods, but commitment to them requires immense funding and strategic planning. They must occur on a daily basis over a widespread geographic area and are therefore difficult to implement comprehensively. Sustained cultivation prevention would require a significant increase of year round staffing within government organizations that are currently operating under budget cuts. If top officials choose to continue on the path laid out in the strategic plan, it is necessary to assign more staff so that marijuana specific employees can maintain manageable workloads, fully complete investigations, process and investigate sites, and continue preventative monitoring. However, continuing the trends of ever increasing demand for law enforcement, or more broadly, the growth of the law enforcement industry, may not be the solution.

If current marijuana control policies remain, increased reliance on tools such as remote sensing, Geographic Information Systems , and centralized information analysis centers can make site detection, information gathering, and remote operations more effective. “Cannabis interdiction operations have involved extensive use of aerial observation to locate actual cultivated plots or potential growth sites. This approach is both time-consuming and expensive, and is also frequently hampered by thick forest vegetation cover [and forest fires]. Therefore, a more efficient method for identifying potential target areas is required to facilitate the interdiction operations.”85 The use of remote sensing can allow law enforcers to detect remote cultivator operations more efficiently using an array of technologies that create less strain on human resources. Specific applications include the use of electronic sensors placed at eradicated sites to detect cultivator return, infrared heat imaging to detect the presence of humans in remote areas, radio transmission interception to record DTO communications, and satellite imagery to detect campsites and tree canopy thinning without alerting cultivators to the presence of helicopters. Land managers can integrate expert knowledge with GIS data input and analysis in order to map eradicated sites, compile statistics for official reports, and to facilitate preventative monitoring. These systems can be used to compile significant data from investigations in order to recognize trends, modify strategies and monitor remote areas in the future. Data compilation and spatial analysis can enable law enforcers to identify potential cultivation sites in an effort to prevent the creation of new ones. The use of these systems at centralized intelligence analysis centers would allow agents to instantly access significant information across agencies, and would foster the development of regular assessments that create awareness in government officials, land management personnel, law enforcement officers, and public citizens. The information gathered at intelligence centers can support “prosecutor-led, intelligence-based task forces that bring together the Department of Justice, the Department of Homeland Security and other agencies to dismantle drug cartels through investigation, extradition and the seizure and forfeiture of assets.”

The reason for this is that unless they are repeat offenders, or provide crucial information that most cultivators don’t have, the individuals are deported regardless of their crimes. The formation of specific task forces within agencies that possess jurisdiction for international operations, such as the DEA and the Department of Homeland Security, can create effective prosecution of cartel members, and impede DTO operation through international relations and governmental partnerships. Proper resource allocation as well as strategic networking is necessary to encourage cooperative efforts at an international level. With a developed understanding of the problems created by DTO marijuana cultivation, officials can collaborate and use more effective methods to oppose DTO operations. The marijuana control struggle no longer revolves around removing plants from the market, but centers on removing the powerful organizations that control the market. “As we’ve found with other large criminal groups, if you take their money and lock up their leaders, you can loosen their grip on the vast organizations that are used to carry out their criminal activities.”However, if DTOs are removed from the market the government’s task will still not be completed. Land management agencies should conduct site reclamation at all damaged landscapes to ensure that all clean up and remediation needs are met. “The mission of the US Forest Service is to sustain the health, diversity, and productivity of the Nation’s forests and grasslands to meet the needs of present and future generations,” but through the evolution of law enforcement responsibilities within land management agencies, the essence of their missions have been lost.Only a small portion of site reclamation needs are being met to the detriment of the health, diversity and productivity of the nation’s public lands. Environmental reclamation should be an inherent step included in post-eradication site processing. The California Conservation Corps has conducted the majority of cleanup efforts, but more is still to be done. Non-profit organizations and environmental groups desire to assist more in the reclamation of natural landscapes,cannabis grow tent and this process can provide a good medium for public education. Utilizing the help of volunteers lowers reclamation costs and informs people first-hand about the realities of remote cultivation. Due to liability issues, however, what is saved in money is sometimes lost in time and restrictions. Volunteers cannot viably clean up the majority of sites because of safety concerns and the sheer scale of labor that is necessary. The result is a widespread neglect of the very areas that land management institutions were created to protect. Public education is a crucial element of preserving public lands. There is a major gap in knowledge between the public, politicians and people who deal with this issue on a day to day basis. The US Forest Service has 192 million visitors every year, most of whom are ignorant to the issues surrounding the valuable public lands that they are visiting.An increased awareness of what is occurring, what the effects are, and what individuals can do to help would foster safe public practices as well as increase reports of suspicious activities. The Strategic Plan sites public education as a major contributor to the long term marijuana control strategy, but experts in the field are stretched too thin to conduct the public education campaign that is necessary to make a difference.

Twenty to thirty percent of cultivation sites are discovered by members of the public who run into a cultivator or spot irrigation lines.Given a widespread understanding of marijuana related activities on national forests, the number of sites safely reported by civilians could increase drastically. Many land management and law enforcement employees are unaware of DTO operations until they are forced to deal with cultivation sites first hand. Individuals such as forest service employees and highway patrolmen need to understand DTO operations because they have a high probability of encountering DTO related activity. A widespread, sustained program is the best way to transmit the breadth of fragmented information on this topic to the public using reliable sources. Such a project could provide land managers and law enforcement with the support they need to adequately monitor areas and respond accordingly. It could also encourage individuals to write to governmental officials and create pressure for policy makers to act. Mexican DTOs are the foremost cultivator group and have the single largest impact on the marijuana industry. The same organizations responsible for the majority of marijuana production on California public lands are the heart of the bloody Mexican drug war. President Obama met with officials in Mexico City and augmented “ongoing US aid to Mexico under the Merida initiative: a three-year, $1.4 billion package aimed at helping Mexico fight the drug cartels with law enforcement training, military equipment and improved intelligence cooperation.”However, this money is yet to incur any noticeable effect on drug cartels.In order to disrupt DTOs, the United States needs to halt the flow of money and weapons from the US to Mexico. By upholding current regulations, we empower cartels to continue their destructive, violent practices. Marijuana cultivation on public lands is a significant problem with viable solutions, but without essential changes in law enforcement strategies and nationwide public policy, it is a problem we can expect to continue, putting the future of our lands and our people at risk. The US war against marijuana has increasingly escalated since its conception because it is not a war that can be won. Drug production has become increasingly destructive and dangerous despite an estimated $7.7 billion spent annually by the US Government to enforce marijuana laws.Such regulation inflates the steady revenue flowing to criminal organizations that in turn generate widespread crime and violence. Regardless of the legal status of marijuana, as long as it remains in high demand there will be a market to supply it, regulated or unregulated. Government-imposed prohibition gives rise to black market systems that are dominated by major criminal organizations that control production and distribution. This system of perpetual crime and punishment is sustained at the cost of all parties involved, and requires a fundamental change in the system itself. Public policy plays the most crucial role in dictating the status of marijuana markets and their effects on governance and fiscal resources. The most powerful mechanism for opposing cultivation trends is to change the role of marijuana in California and the United States through legalization.

Their goal was to reduce Cannabis cultivation in areas that produced the largest amounts of marijuana such as California

Marijuana production trends began to shift from people’s personal property onto public lands around the early 1980s. At that time, California residents began to encroach on the National Parks and successfully grow and harvest marijuana crops.The local Sheriffs could not deter this activity as it began because their time was limited by other casework, their funds were dedicated to addressing other criminal activity, their training and equipment was inadequate for remote operations, and their methods did not effectively identify, much less prevent the continuation of marijuana cultivation on private or public lands. In March 1982, the House Committee on Interior and Insular Affairs and the Subcommittee on Public Lands and National Parks began to recognize the potential threat posed by marijuana cultivation on federal land. The report Illegal and Unauthorized Activities on Public Lands – A Problem with Serious Implications evaluated how “crimes against persons and property, marijuana cultivation, timber thefts, and trespassing – were limiting the ability of the public to use and enjoy natural resources and recreational facilities on federal lands in California and Oregon… The Chairman was especially concerned about the danger marijuana growers posed to federal employees and land users.”Governmental awareness of the issues facing public lands led to action that transformed the roles that various land management agencies would play in the future. In the 1983 report, Additional Actions Taken to Control Marijuana Cultivation and Other Crimes on Federal Lands, major governmental landholders were granted jurisdiction to regulate cannabis grow tray cultivation on public lands. The three principal federal land management agencies, the US Forest Service, the Bureau of Land Management, and the National Park Service were all cited along with the DEA as the primary agencies responsible for addressing threats to preserve the integrity of federal lands.

This meant increased law enforcement responsibilities on the part of all three agencies. The National Park Service would utilize park police and park rangers while the US Forest Service and the Bureau of Land Management would employ special agents and enlist assistance from local and state law enforcement agencies. Cooperative efforts between the DEA, state and local law enforcement were often used to suppress domestic cultivation because they could “promote information sharing and contribute training, equipment, investigative and aircraft resources, and funding to support the efforts of state and local law enforcement agencies.”One significant result of cooperation between federal, state, and local agencies was the development of the Campaign Against Marijuana Planting. What these cooperative efforts show is that despite the increased responsibilities of federal land management agencies, outside sources were still relied upon for enforcement efforts. This is represented in Forest Service budgets that allocate a negligible amount of funds specifically for controlling marijuana cultivation. The funding allocated for marijuana control efforts by the USDA Forest Service in 1982 was $206, only increased to $1,072 in 1983.During that same period of time, the “Forest Service reimbursed state and local law enforcement agencies $5.3 million under cooperative law enforcement agreements.”This shows that while land management agencies were responsible for the preservation and protection of land, they still relied mainly on state and local officers to conduct eradication operations. This may explain why in 1982, the US Forest Service’s Pacific Southwest Region located only 114,911 plants out of an estimated 387,000 plants, and only eradicated 55,561 of those located. Initial law enforcement efforts on public lands focused exclusively on locating and eradicating marijuana plots. To accomplish this goal, cooperative law enforcement agencies assigned agents to marijuana task forces during the late summer months because the harvest season was the only time of year that marijuana plantations reached adequate maturity to be visibly spotted by helicopter reconnaissance.

Helicopter searches served as the primary means of locating plantations, so officers only conducted operations during times of the year when plantations were visible from an aerial perspective. Another reason that agencies only conducted periodic drug enforcement in remote areas was that traditionally, the success of enforcement operations was measured by the number of plants and sites eradicated, illustrated by the focus of law enforcement statistics on the plant eradication count. “Generally, this approach applies the rationale, ‘the more plants eradicated, the greater the success.’ However, a more holistic view recognizes that increased plant numbers may actually reflect a failed strategy.”Short term annual operations maximized the plants eradicated for the resources dedicated, but did little to prevent the proliferation of marijuana cultivation on federal lands. When Sheriffs raided sites for eradication, they apprehended individuals at the scene of the crime, but did not collect evidence, follow leads or conduct investigations. Eradication sometimes meant that plants were carried out in helicopter nets, but more often plants were slashed and burned or left to rot. However, officers did not enter every plantation that was visually identified due to limited budget allocation for remote operations. At the end of the eradication season, officers were transferred back to their regular assignments until eradication efforts began again in the following year. As law enforcement agencies identified the increasing occurrence of cultivation on public lands, they also began to recognize the recurrence of grower operations in areas that had been eradicated in past years. It became evident that cultivators came back to sites year after year because the site infrastructure still remained. Eradicated sites could successfully produce marijuana harvests in years following a bust because federal agencies were so limited in time, staffing and resources that re-visitation of every previously eradicated site was impossible. The implication of grower recurrence on eradicated sites was that undiscovered sites were likely utilized on a yearly basis. The establishment of DTO operations on California lands transformed the nature of law enforcement efforts to combat commercial marijuana production. While eradication efforts increased, “statistics show this approach has been less than effective. Most people that have been involved with this issue for any time agree that we cannot just eradicate our way to success… Another common approach has been to use the number of arrests as a measure of success. Much like the plant count, using an increased number of arrests may also reflect a less than effective program.”When small resident groups dominated marijuana cultivation in California, the eradication of a sole plantation had major economic implications for the individuals involved.

Eradication statistics were directly correlated with the success of law enforcement, with some measure of legitimacy. When larger organizations entered into domestic production, they were able to compensate for losses by creating widespread and diversified operations. Eradicated sites only accounted for a small percentage of the organizations yearly production. In the 1970’s, large eradications were responsible for cutting off the supply to an area for a period of time. Today, eradications serve to increase prices on remaining supplies. While the law enforcement community understood that their longstanding methodology was ineffective at preventing remote cultivation, the organizational structures limited their ability to revolutionize their approach. Therefore, the National Marijuana Initiative was established in 2001 by the Office of National Drug Control Policy to coordinate federal, state, and local agencies.Since its conception, the NMI has played a significant role in facilitating the spread of marijuana related information between law enforcement agencies and political entities. The NMI is responsible for developing the National Drug Intelligence Center’s 2003 Marijuana Threat Assessment and the 2007 Domestic Cannabis Cultivation Assessment which compiled statistics from law enforcement agencies across the nation. Through coordination and cooperation with the widely dispersed agencies involved in marijuana control, the “NMI funded investigations have identified drug trafficking organizations that operate marijuana grows in several western states” and helped focus enforcement efforts toward key growing areas. 45 The NMI is a product of the long-term efforts of governmental agencies in conjunction with the short-term task forces of the 1980s. Interagency task forces such as CAMP have proven to be effective at mobilizing resources and conducting remote operations. Interagency cooperation has enabled task forces to pool funds,cannabis grow tray resources and agents to optimize strategic planning and meet government set objectives. Previously, law enforcement agencies were territorial when it came to marijuana raids because marijuana eradications increased funding and improved departmental image. Now, interagency connections and the personal relationships that result, encourage cooperative efforts instead of creating barriers to them. The NMI played a crucial role in developing a political understanding of the transformation in marijuana production, cultivation by large criminal organizations, and in doing so shifted the primary focus away from eradication. In 2005, Senator Dianne Feinstein became aware of how DTO operations were adversely affecting federal lands through congressional hearings and media coverage on the issue.In response, she held a meeting with the leaders of the DEA, US Forest Service, National Park Service, Bureau of Land Management, CAMP and other major law enforcement authorities in order to establish new objectives to increase the effectiveness of law enforcement. Through Feinstein’s efforts and renewed support in Congress, state and individual organizations allocated more funding for a comprehensive approach to marijuana law enforcement. Marijuana cultivation on state and federal lands became a major law enforcement priority and the US Forest Service, National Guard, CAMP and other cooperative task forces have taken on primary roles in conducting counter-cultivation efforts.

Previous measures of short-term success persisted, including site location, plant eradication and cultivator arrests. However, law enforcement agencies created divisions strictly dedicated to opposing DTOs by assigning patrol officers exclusively to the issue, reassigning alternative workloads, and removing extraneous administrative duties of those in charge in order to focus the necessary resources to impact DTOs. In addition, increased funding allowed agencies around the state to begin a training and recruitment process to significantly increase staffing. In the Pacific Southwest Region of the Forest Service, the additional staff would include 1 supervisory special agent, 3 patrol captains, 18 special agents, 50 law enforcement officers, and 6 administrative assistants, all of whom will be dedicated almost exclusively to marijuana control.This will allow for long-term engagement in year round counter-cultivation efforts that utilize preventative measures as an advantage. Instead of waiting for a site to be found in July or August, agents will be able to look for and follow up on leads throughout the year. Equally important, they can identify priority cases for full investigation so they may be completed to a “reasonable conclusion.”Investigations will be prioritized based on existing intelligence, site logistics, available resources, and special public interest. The process of site review involves a methodical documentation of evidence such as cell phone contacts and the origin of supplies, which is entered into records and scrutinized for pursuable leads. Previously, useful evidence would have remained untouched at the site, or on rare occasions, kept in police storage. The potentially useful information left at sites was lost to neglect. Now, a significant portion of the evidence left behind is subjected to intelligence analysis. Increased utilization of intelligence analysis centers has made this process much more efficient and effective, which enables preventative tactics and helps governmental agencies learn about and infiltrate tight drug trafficking institutions. Governmental agencies have also changed investigation and detection strategies. While some authorities claim that there is nothing better than a helicopter and a well-trained eye, enforcement agencies are developing the use of more sophisticated techniques. These include, but are not limited to, ultraviolet, infrared, and electronic detection systems. Other techniques include night time patrols in high risk areas when cultivators may be less attentive, year-round patrols, and new detection methods such as monitoring for irrigation and cultivation supplies, comparing watershed precipitation with surveys of water flow quantities, and testing for chemical nutrient imbalances in bodies of water. The more time that is dedicated to research and detect sites early, the less time is required to raid and eradicate each site. Raids are carefully planned efforts, designed to reach set goals while minimizing the risk to agents. First, team leaders develop a raid plan and develop logistics such as funding sources, equipment requirements and invasion methods. Agents in charge then gather a team that they brief, supply and prepare. New agents and officers are required to complete a thorough training program to learn remote raid techniques.

Differences between investigators were discussed until consensus was reached

A third and final coding guide was applied to the full list of apps. Of note, the coding guide was clarified so that apps referencing heat-not-burn were coded as vaping-related. While tobacco heat-not-burn devices are considered distinct from vaping devices, heat-not-burn of cannabis flower is often considered vaping, and neither involves combustion. Additionally, the group could not determine the purpose of 6 apps from the Google Play Store descriptions. These apps were downloaded and evaluated using additional information from the downloaded app itself. The final 8 purpose categories were do-it-yourself coils, DIY e-liquids, shopping, entertainment, social, device, quitting smoking, and quitting vaping. Summary percentages and means for app metadata and purposes were calculated. Next, apps within each of the 8 purpose categories were ranked by total number of installs, and the top 2 to 5 apps per category were downloaded for review. Instead of ranking the most popular apps, we ranked apps by popularity within categories, so that apps with less overall popularity but potentially important purposes would be included. The number of apps selected per category varied due to ties in the reported number of installs. Because apps could have multiple categories, this procedure resulted in a list of 18 apps with 10 to 1 million downloads each. Three of these apps disappeared from the store before they could be downloaded for review; one could be replaced with a premium version of the same app. A total of 16 apps were downloaded onto 2 Samsung Galaxy Tab A tablets and a Google Pixel 2 smartphone. A random selection was reviewed by all 3 investigators. Discrepancies were discussed, and the coding guide was updated.

The final coding guide included evaluations of whether the content of the downloaded app matched the purpose category and whether it had the following types of information : information about harms of vaping ,mobile grow system information about safer vaping or DIY device use , and information about harms of smoking . For apps coded as being intended for quitting smoking or quitting vaping, the presence of a tracking feature in the downloaded app was noted . For apps coded as pairing with devices, the presence of features for tracking temperature, dosage, or device locking was noted.Finally, the Mobile App Rating Scale was applied to all 16 downloaded apps. The MARS is 23-item multidimensional measure for rating the quality of mobile health apps, with 5 sub-scales in the areas of engagement , functionality , aesthetics , information , and subjective rating. Subjective rating was not applied as these items involve hypothetical personal use. Each item was rated on a scale of 1 to 5, and ratings that differed by more than 2 points between investigators were discussed. Investigators could adjust their ratings after discussion before averaging scores and did so 7 times across the 5 discussed apps. Some information items were rated as not applicable and were excluded from average score calculations. For example, the item about meeting goals would be rated as N/A if the app purpose was not related to quitting smoking or vaping, and the visual information item would be rated as N/A if the app only contained text. Other smaller discrepancies were averaged without further discussion. Average ratings were calculated for each of the 4 sub-scales and then averaged across the 3 investigator ratings. A final score was averaged for all downloaded apps and within each category.The majority of downloaded apps matched the descriptions in the app store .

The exceptions were that 1 app coded as having quitting smoking features did not have any such features, and 1 app that was coded as not having shopping features did, in fact, have links to shopping through the app. Few apps had information about harms of vaping , safer vaping , or harms of smoking . When they did have such information, it was often difficult to find. Of note, 2 of the entertainment apps had a feature where an avatar would cough when vaping too much, which may normalize moderation in vaping; 5 apps had tracking features, which mainly recorded days passed since a user-provided quit-smoking date; and 2 of the apps with tracking features also displayed money saved and health benefits. Both device apps appeared to have temperature controls, but did not have dosage or locking settings visible, though these may have become apparent once paired with a device. Overall, the 16 downloaded apps had a mean MARS score of 3.63, with a highest mean sub-score for functionality and lowest mean sub-score for engagement . Within the sub-types of purposes, the highest mean MARS scores were for social, shopping, and device apps, and the lowest mean scores were for the quitting smoking and DIY coils apps. This study examined the content of the first 100 mobile apps on the Google Play Store using vaping and vape as search terms 1 month after Apple’s ban on vaping-related apps, which was enacted in response to concerns about youth nicotine vaping and EVALI . Of 79 apps determined to be related to vaping, over half were related to nicotine, while only a few were for cannabis, and the rest were unclear in intended substance. The most popular app content, with respect to both number of installations and percentage of these 79 vaping apps, was creating DIY liquids and DIY coils , with 20% in both categories . This may reflect a strong interest in DIY hobbies in vaping culture. DIY may allow users to control the customization process, play with novelty, save money, and achieve higher nicotine concentrations. Overall, the main purposes of the majority of these vaping-related apps on the Google Play Store were to help people continue to vape nicotine. Apps that had features to support quitting smoking or vaping were relatively rare .

Most apps that supported smoking cessation encouraged users to quit smoking by switching to vaping. These apps also contained other features to promote or facilitate vaping, such as e-liquid recipes. The 2 apps for quitting vaping that were downloaded had above average MARS scores but relatively few installations, while the 3 apps for quitting smoking that were downloaded had below average MARS scores and low sub-scores on aesthetics and information. This points to the need for apps to promote vaping cessation using evidence-based behavior-change information and strategies, along with engaging usable interfaces. There were also few apps that paired with devices , and these device apps were mainly for cannabis. Devices that pair with apps using Bluetooth technology are more expensive, which may explain their lower popularity in terms of installs. Features available in the downloaded device apps indicated that the user could control temperature, which may limit throat and lung damage, but not dosage, and there were no locking controls for users with children or those wishing to moderate their use. Given current concerns about youth vaping, the findings that over half the apps had no age controls and that a large proportion of apps without age controls was in the DIY categories are especially concerning. A smaller proportion of entertainment apps had no age controls , though many of the apps with age controls were set at Teen. Age controls may allow parents who utilize family controls to restrict their children’s access to these apps. Of the popular apps that were downloaded and reviewed in-depth, few apps presented information about the harms of vaping or smoking or included information about safer vaping. Information about harms of smoking consisted of articles comparing the harms of smoking to vaping. One app had a widget for tracking “days without smoking” that included “gained days of life” and “avoided radiographs” calculations. Information presented about harms of vaping included acknowledgments of the importance of moderating nicotine intake, the addictiveness of nicotine, or harms of vaping in front of children. The 2 downloaded apps that were intended to help people quit vaping both included links to news stories about young adults with EVALI and articles about concerns with youth vaping and the intentions of vaping companies. Safer vaping information included recommendations about coil and battery materials, causes of e-cigarette explosions, and cautions against mixing e-liquids incorrectly. It should be noted that in 2 entertainment apps with simulated vaping games, the vaping avatar would cough audibly when they “inhaled” a large amount of vapor,mobile vertical rack which could be seen as encouraging moderation in use. Several of these apps included a tracking feature that displayed the number of days since quitting smoking and the number of cigarettes avoided. Self-monitoring is an important component of a smoking cessation plan but is likely insufficient by itself. In addition to a need for apps on the Google Play store that assist people with quitting vaping, study results indicate a need for informational apps to better describe the pros and cons of vaping.

Assuming that these Google Play Store apps were similar in content to the Apple App Store apps that were removed, it appears that Apple’s ban would have had a minimal effect on people who vape with the intention of quitting smoking or who are seeking information about safer vaping. Nevertheless, the decision to remove the vaping-related apps appears to have been taken by Apple in response to rising EVALI cases, which were primarily attributed to cannabis oil additives, rather than nicotine liquids. There appeared to be little publicly available information detailing how apps were determined to be removed, echoing other calls for increased transparency and additional research regarding allowed app platform content and other issues like privacy. Future research should explore other cases touching on the who and how of regulation of apps related to controversial health-behavior for which there is not yet a consensus among health experts. Future research should also examine more explicitly the relationship between vaping app use and vaping behaviors. There were several limitations to this study. First, not all apps that came up in the initial search were reviewed, though most app users would likely not browse more than 100 apps without refining their search. Additionally, the app store gets updated continuously, and a search on a different date may present different results. Indeed, several apps were no longer available a few weeks after the initial search. While the number of installations was recorded for each as a signal of popularity, people may download an app and not use it at all or only use it a limited number of times. Only 1 of the reviewed apps was also available on the iPhone App Store, but it is unclear which of the apps we reviewed were removed from or denied approval in the Apple App Store. Although we only coded Google Play Store apps, a search for vaping in the mobile Apple App Store in December 2019 confirmed that the remaining apps were related to quitting smoking or quitting vaping or were unrelated to vaping behavior. Based on this review of vaping-related apps in the Google Play Store, it appears that the Apple vaping app ban would have had a minimal effect on adults seeking to switch away from smoking or seeking to vape more safely. Most vaping-related apps in the Google Play Store were for purposes related to continuing vaping and had limited age-based access restrictions. Few apps were for controlling device settings, assisting with quitting smoking or vaping, or disseminating information about safer vaping. In the US, as of March 2018, medical use of marijuana is legal in 28 states and the District of Columbia and recreational use is legal in 8 states and the District of Columbia. The liberalization of marijuana laws raises public health concerns, particularly about possible effects on adolescents’ marijuana use and problems. Despite potential risks, the 2016 Monitoring the Future survey shows that 36% of 12th graders and 24% of 10th graders reported past year marijuana use and 23% and 14%, respectively, reported past 30 day use. About 81% of 12th graders and 64% of 10th graders reported that marijuana is “fairly easy” or “very easy” to get. Only 31% of 12th graders and 44% of 10th graders perceived “great risk” in regular marijuana use. Commercialization of cannabis, including marijuana, concentrates, and edibles, may affect adolescents’ use directly by increasing availability or indirectly by promoting beliefs that its use is safe and normative. Although legal sales of recreational marijuana are restricted to adults, enforcement compliance checks indicate that between 11%-23% of recreational outlets may sell to minors.

Remission also relates in complex ways to a person’s socioeconomic status and social support systems

Key study information extracted included study objective, study design, study location, eligibility criteria, the instrument by which participants were screened, presence of drug use treatment, if any, referral to specialized drug use treatment, if any, and main outcomes relevant to this study’s objective. Extensive heterogeneity of the final selected studies precluded a meta-analysis. All study information was entered in tabular format in Microsoft Excel version 16 . A flow chart of the study selection results can be seen in the Figure PRISMA diagram. The literature search resulted in 2,177 studies imported for screening. We identified 101 studies as duplicates and removed them, leaving 2,076 titles and abstracts. Of those abstracts, 1,984 studies were excluded after a title and abstract screening leaving 92 studies for full-text review. Of the 92 full-text studies, 66 studies were excluded because of wrong study design, no full-text was available , wrong patient population , wrong study setting, wrong study outcomes, or were additional duplicates. Twenty-six studies remained for the final analysis. Together, the 26 study populations spanned all ages. Fourteen studies focused on both adults and adolescents, nine on adults, and three on adolescents. The mean age of the participants ranged from 14.5-38.6 years. Thirteen studies were secondary analyses of prospective studies, which were included. None of the studies were of multiple sites.All studies screened for self-reported drug use among assault-injured participants either by computerized/written survey or in-person interview. Of the 26 studies, five studies screened for recent drug use by either survey or in-person interview without a formal screening instrument.Of the remaining 21 studies, 14 used a combination of the NIDA Quick Screen Question and Modified Alcohol, Smoking and Substance Involvement Screening Test , three used the Substance Abuse Outcomes Module ,mobile grow system two used questions from the Monitoring the Future study to detect prior-year cannabis use,one used questions from the Supporting Adolescents with Guidance and Employment survey to detect past 12-month substance use,42 and one used the Texas Christian University Drug Screen to determine past 30-day substance use.

Among all studies, drug use was found to be closely linked to assault-injury. Study results reported of this relationship were heterogenous. Four of 26 studies found a range of 25-61% of assault-injured individuals who reported drug use within the preceding 12 months.Three studies reported that previous drug use of any type was significantly associated with 1.43-7.41 greater odds of either previous or acute assault-injury.Two studies reported that assault injury was significantly associated with 1.55-1.84 greater odds of previous drug use.Overall, cannabis was the most common drug identified among assault-injured individuals. Eight studies reported cannabis use among assault-injured individuals ranged from 32.1-96.7%.Three studies found that cannabis use was significantly associated with 2.1-7.41 greater odds of assault-injury.Two studies found that cocaine use was also significantly associated with 2.7-3.1 greater odds of assault-injury.One study found prescription drug misuse was significantly associated with a 1.43 greater odds of assault-injury.In this systematic review, we identified ED-based studies that screen, treat, and/or directly refer to specialized treatment services for drug use among assault-injured individuals. Our comprehensive literature search determined that there were 26 studies that met criteria for inclusion. The studies in this review used various screening modalities to identify drug use including an in-person interview as well as computerized and written versions of validated screening instruments for drug use. None of these studies were interventional nor did they provide a direct referral to specialized treatment services. The vast majority of studies found a high prevalence of drug use within this population, with cannabis being the most common drug detected. Although study results were fairly heterogenous, the majority of them found high rates of drug use among assault injured individuals, especially when compared to those injured by other mechanisms. Previous literature demonstrates a close link between assault-injury and drug use.Several pre-existing theories have explained this relationship including the shared risk factors between assault-injury and drug use, the pharmacologic effects of drug use, and the association between assault-injury and the illegal drug trade.Evidence shows that substances such as alcohol, cocaine, amphetamine type stimulants, phencyclidine, and barbiturates cause increased aggression and impaired judgment.However, cannabis was among the most common drugs detected in our review. The evidence to support its role in causing aggressive behavior is mixed.It is more likely that the relationship between cannabis use and assault-injury is associated with the effects of withdrawal, shared risk factors of problem behavior, and facets of the illegal drug trade.

Additionally, cannabis use may also allow assault-injured individuals to mitigate aggression and cope with its negative effects.Future studies are needed to better elucidate this relationship. The practice of SBIRT to facilitate future treatment engagement for drug use in the ED setting has become increasingly common.SBIRT has shown some promise in identifying and managing unhealthy alcohol use and opioid use disorder , particularly when paired with pharmacotherapy .Studies in this review used various screening methods to identify drug use among assault-injured individuals. Several validated screening instruments for drug use exist, yet very few have been evaluated in the ED setting. Nineteen studies used one of the following formal screening instruments: the SAGE, SAOM, Texas Christian University Drug Screen, and the NIDA Quick Screen Question, and Modified ASSIST. The NIDA Quick Screen Question, “How many times in the past year have you used an illegal drug or used a prescription medication for non-medical reasons?”, is likely best suited for the ED clinical care context.1 This single question was found to be 100% sensitive for detecting drug use in the primary care setting.Among high-risk populations such as assault-injured individuals, this instrument has the potential to be the most effective in identifying drug use in the busy ED setting. Despite the ACS mandating the practice of SBIRT at all trauma centers for over two decades,our review demonstrates a marked paucity of literature that examines all aspects of SBIRT for drug use among assault-injured individuals in the ED setting. This includes the practices of brief intervention and/ or referral to specialized treatment services for drug use. This is particularly concerning because the literature supports a strong association between non-partner assault-injury and drug use. Moreover, the COVID-19 pandemic, its associated prevention efforts, and accompanying financial stress have exacerbated both substance use and assault-injury.Yet substance use is a potentially modifiable risk factor, as evidence-based behavioral and pharmacological interventions exist.This gap in literature may be explained by the challenges of engaging the intersection of two exceptionally vulnerable populations that do not often seek healthcare with regularity.Both assault-injury and drug use are sensitive topics to research likely due to a combination of stigmatization, fear of law enforcement involvement, their shared emotional impact, and a host of other shared socioeconomic factors including poverty and racism.

Furthermore, obtaining funding for assault-injury research is notoriously challenging, particularly for firearm-inflicted injuries.This may serve as an additional barrier in performing research in this vulnerable population. Other notable challenges in conducting research in this population include participant loss to follow-up by attrition , undocumented immigrant status and fear of deportation, and a lack of viable and sustained community resources where patients can be referred for counseling and treatment services.Additionally, our review highlights several knowledge gaps in the existing literature surrounding drug use in the context of non-partner assault-injury. Little is known about the mutual risk factors, notably socioecological and psychological, that may contribute to the co-occurrence of assault-injury and drug use, both considered to be problem behaviors.Further, in our review, no study evaluated the potential impact of an intervention, such as a brief behavioral intervention, to reduce drug use and subsequent injury. This is particularly compelling because previous literature has shown that a brief behavioral intervention, delivered in the ED setting, demonstrates considerable promise in reducing cannabis use and its related harm as well.Future studies may use existing theory such as the social-ecological model to inform the development of an intervention that reduces the burden of drug use and injury. 78HEAVY DRINKING AND ALCOHOL PROBLEMS are highly prevalent, chronic, mobile vertical rack and serious conditions that usually begin in the teens and persist over time, with 25% of individuals in their 50s drinking daily and/or ever consuming five or more drinks per occasion . Alcohol use disorders can decrease life spans by a decade , and two thirds of alcohol-related deaths occur between ages 45 and 60 . AUDs typically follow a course of exacerbations and remissions with complex interrelationships among risk factors that are best studied by identifying individuals before the condition develops and evaluating them repeatedly over decades. This can be challenging because research funding is usually short term, and longer follow-ups are expensive. Most longitudinal studies are 1–5 years and some cover 10–15 years , but prospective studies that began at age 20 and continued into the sixth decade of life are rare . For decades, our group has focused on predictors of AUDs and related outcomes that included demography; earlier substance use onsets, frequencies, quantities, and problems; prior treatment experiences; and genetically influenced characteristics . Although limitations in the time subjects were willing to spend during baseline evaluations for these studies and the specific interests of Prior studies indicate that remissions are likely to increase with age, European American background, having been married, and, for non-abstinent outcomes, previous lower alcohol quantities, frequencies, and alcohol problems . Abstinent outcomes are more likely in individuals with greater alcohol problems and those with experience with formal treatment or self-help groups , programs that usually emphasize non-drinking outcomes.

However, with some important exceptions , most longitudinal studies of the course of AUDs were generated from treatment samples that are often of lower socioeconomic status, and less is known about the clinical course of individuals with AUDs from higher functioning groups. Several genetically related characteristics also relate to the course of drinking and AUDs, including an endophenotype of special interest to our group. A low level of response to alcohol increases the AUD risk and might also predict higher remission rates among individuals with AUDs . The low LR is not closely linked to externalizing or internalizing characteristics, and, thus, is not related to dependence on illicit drugs or psychiatric disorders other than alcohol induced conditions . This study extracted data from the San Diego Prospective Study in which male probands entered the protocol at about age 20 as drinking, non–alcohol-dependent college students and nonacademic staff, with more than 90% of these subjects followed at age 30 and every 5 years thereafter. Half of the men had an alcohol-dependent father, and half reported no close relative with an AUD, with the two groups selected to be similar on demography and substance use histories. The selection of a sample, half of whom had an alcohol-dependent relative, resulted in a high proportion who developed an AUD. Thus, the results presented here are relatively unique among long-term studies of individuals with AUDs. Our current interest is in whether clinicians or researchers who had followed the men with AUDs from ages 20 to 50 could predict their alcohol-related outcomes. Four hypotheses guided the analyses. In Hypothesis 1, reflecting the past high education and life achievement for SDPS probands, we predicted that in their sixth decade many of these men would have developed abstinence or low-risk drinking in the absence of multiple alcohol-related problems . As a corollary, few participants will meet the criteria for AUDs between ages 50 and 55. Based on the existing literature, Hypothesis 2 predicted that low-risk drinking would be most likely for men with higher LRs to alcohol, and lower past drinking quantities, frequencies, and problems . Hypothesis 3 predicted that the more problematic outcome of high-risk drinking ages 50–55 would relate to LRs, alcohol intake patterns, and alcohol problems between the low-risk drinkers and probands who maintained abstinence during the most recent follow-up. Hypothesis 4 predicted that the probands who maintained abstinence at ages 50–55 would have the lowest LR and highest drinking quantities and report the highest rates of exposure to formal treatment and/or self-help group participation .Following approval from the University of California, San Diego , Human Subject’s Protections Committee, the SDPS began in 1978 with 18- to 25-year-old male European American and White Hispanic students and nonacademic staff selected among respondents to a randomly mailed questionnaire .

This can be attributed to the position of inlet/exit location with respect to the tray orientation

Since OU quantifies the deviation of average velocity of each tray from the designed velocity, a higher OU value indicates that the crops will have better and more uniform photosynthesis. It can be observed from Fig. 5 that the maximum OU obtained for all conditions is case BC at a flow rate of 0.3 kg s−1. To develop a better understanding, the two-dimensional velocity and vorticity distributions in the x-y plane along the middle of the z-direction for all eight cases at a mass flow rate of 0.3 kg s−1 are plotted in Figs. 6 and 7. As can be observed from Figs. 6 to 7, the OU is highest for case BC due to its uniform velocity and vorticity distributions between trays.For case BC, the inlet flow is parallel to the longitudinal direction of the tray and the exit is along the transverse direction . This design allows the flow to travel through the long side of the tray uninterrupted and then form a helical flow orientation near the end of the tray. This spiral formation of flow induces a more uniform and regular flow in the room. This also explains why case AD has very high OU. Similar spiral formation can also be observed when the inlet flow is parallel to the transverse direction of the tray and the exit is along the longitudinal direction , like case DA. However, since the inlet flow is along the short side of the tray, the benefit is not as great and requires much higher inlet mass flow rate. On the other hand, for cases where the inlet and exit are located on the same wall, such as AB or CD, the air flow only has strong mixing effect along the inlet/exit direction which, in turn,cannabis grow supply store reduces the overall flow uniformity. Besides the velocity distribution, the effect of temperature is also a critical parameter for determining convective flow. Fig. 8 shows the two-dimensional temperature distributions in the x-y plane along the middle of the z-direction for all eight cases at a mass flow rate of 0.3 kg s−1.

In our analysis, the temperature of the inlet flow is lower than that of the exit flow due to the heat generated from the LED light. For case BC, the inlet is located near the bottom and the exit is near the top. Due to the density difference, the exit warm stream tends to flow up. This allows the flow to reach the topmost tray more easily and, therefore, achieves more uniform temperature distribution among all trays. Combining the inlet flow along the long side of the tray, the helical flow effect, and the buoyancy, case BC is able to reach the maximum OU of 91.7%. Fig. 9 summarized the velocity and temperature contours for case BC at an inlet mass flow rate of 0.3 kg s−1. The velocity pro- files in Fig. 9a clearly show the spiral effect above each cultivation tray and the local velocity is close to the optimal speed of 0.4 m s−1. In addition, the temperature shows an increasing trend from bottom to top as the flow helically passing through the crops and moving towards the outlet.The distributions of temperature and gas species, such as water vapor and CO2, play an integral role in photosynthesis which, in turn, influences the quality of plant and its growth. Therefore, maintaining these critical parameters in a reasonable range to ensure reliable and efficient production is essential to environmental control of an IVFS. Evaluating the distribution of these parameters can also provide the effectiveness of inlet/exit location. It should be noted that the parameter OU provides an overall assessment of the air flow velocity over planting trays. An optimal design is to achieve desired local temperature and species distribution while maintaining high OU values in an IVFS. In the following discussion, the four cases with highest values of OU at their corresponding mass flow rates are studied and compared to the baseline case AB.Since CO2 is a reactant of photosynthesis, increasing CO2 concentration usually leads to enhancement of crop production. Reports show that increasing the CO2 concentration from the atmospheric average of 400 ppm to 1500 ppm can increase the yield by as much as 30%. In this IVFS analysis, the CO2 level of the inlet mass flow rate is increased by a CO2 generator to be 1000 ppm . Since the consumption rate of CO2 through the exchange zones is fixed, higher overall average CO2 concentration through the system is desirable. Fig. 10 shows the comparison of the average CO2 concentration between the highest OU cases and the baseline case AB at different inlet mass flow rate.

A few general trends of CO2 concentration can be observed from Fig. 10. First, the CO2 concentration increases with inlet flow rate due to increasing supply of CO2 molecules. In addition, tray 1 has the highest CO2 concentration because most of the cold fresh inlet air dwells near the bottom of the IVFS due to the buoyancy effect. In contrast, tray 3 has the lowest CO2 concentration because the fresh inlet air has the highest flow resistance to reach tray 3due to the combination of sharp turns and buoyancy effect. This is particularly true at low inlet flow rates and when the inlet is located on the top, which lead to low flow circulation as cold inlet air flows downward directly. As a result, BC, BA, and DA at 0.3, 0.4, and 0.5 kg s−1, respectively, have relatively high CO2 concentrations. Even though the baseline case AB at 0.5 kg s−1 has the highest CO2 concentration, its OU is too low to be considered a good design.According to Eq. , the power required can be calculated as the product of volume flow rate and pressure drop between the inlet and exit. Even though the inlet/exit locations can change the overall system pressure drop slightly, mass flow rate has a dominating effect on the required power, as shown in Fig. 13. It can be observed that cases AB and BA incur the most pressure drop, which is more obvious at high flow rates. As discussed earlier, placing the inlet and exit on the same wall located at the short side disrupts the helical flow formation, which is known to benefit flow circulation. Under this condition , additional vertices, which is the main source of the increased pressure drop, are observed near the exit region from the flow streamlines. To minimize energy consumption, the inlet/exit location should be placed on opposite walls and the IVFS system should operate at the minimum flow rate that meets other requirements, such as temperature, RH, CO2 concentration, and flow velocity above the exchange region. Since there are multiple variables that can affect the overall design of the inlet/exit location and mass flow rate, an overall efficiency factor is introduced in Eq. to holistically assess the uniformity of all monitored parameters. Fig. 14 shows the final comparison of the overall design efficiency between the four best OU cases and the baseline case. It can be observed that OU has a dominating effect on the overall efficiency since the trends show some resemblance to the overall efficiency.

In terms of overall efficiency and power consumption, case BC operating at 0.3 kg s−1 is the optimal design for this IVFS.A comprehensive understanding of the biological networks at multiple levels is crucial to harness the full potential of ENMs for sustainable food production . In recent years, probing of ENM-plant interaction have evolved from traditional, single endpoint assays to discovery oriented, high-throughput system biology approaches, referred as “omics”. This is supported by advancements in the sensitivity and accuracy of analytical techniques and bio-informatic tools . The suffix “omics” refers to unbiased screening of bio-molecules in an organism, specifically genes , mRNA , proteins, or metabolites . Systems biology approach has been implemented to decode the molecular mechanisms in plants and elucidate the behavior of genes, proteins and metabolites in response to biotic or abiotic stressors . With the emerging need for mechanistic understanding of complex agronomic traits and crops’ response to ENM exposure, omic technologies have gained momentum in precision agriculture and nanotoxicity studies. This paradigm helps in generating hypotheses by monitoring response of biomolecules upon systematically perturbing biological processes with ENMs, followed by integration of global datasets onto pathways using advanced bioinformatics algorithms . Realization of the underlying molecular mechanisms in plants will provide cues for designing ENMs for specific applications like increasing resilience to pests or environmental conditions,cannabis drainage system targeted delivery of nutrients or pesticides, stimuli-responsive agrochemical release, or ENM-enabled biosensing. The sensitivity of omic techniques allows to capture, quantitate and distinguish the cellular and molecular level changes in an organism when exposed to ionic, nano- or bulk- form of any particle of interest at considerably lower and environmentally realistic doses; these deductions are not obvious from phenotypic responses or less sensitive biochemical assays . These techniques also allow to compare responses at multiple hierarchical levels across different plant species, age, growth/environmental conditions, and ENM exposures. In plants, transcriptomics has been the most applied omic technique, used to identify the transcription factors as predictive biomarkers of ENM toxicity , which are correlated to phenotypic responses. However, this bottom-up approach based on upward chain of causality has several constraints that result in inconclusive nature of such approach . These constraints emerge from the uncertainty resulting from post transcriptional processes, post translational protein modifications, and stimulus-induced metabolite level changes. The higher level of organization representing the metabolome or proteome in an organism are not fully determined by the properties of the lower levels ; instead, they regulate the functionality of lower levels in a downward causation chain in response to stimuli . Metabolomic analyses allow functional annotation of uncharacterized genes or proteins, thereby filling knowledge gaps in plant metabolic machinery.

In addition, metabolomics does not depend on the data generated from model plant species, hence could be easily applied to model as well as non-model species . Thus, due to the exploratory nature of ENM-plant interaction studies, it is recommended to follow the downward causation approach that correlates phenotypic expression with the metabolome of plants, which can complement proteomic and transcriptomic profiles in a pathway analysis network. This review consolidates the pioneering studies in plant metabolomics and proteomics, intended to gain insights into ENM-plant interactions. Studies employing other omic tools have been discussed briefly. We discuss novel analytical platforms employed in metabolomics and proteomics in plants in response to ENMs and address the important factors in such analyses. Finally, we postulate the vulnerable biological pathways in plants in response to ENMs and how integration of multiomic datasets can be exploited to address major mechanistic concerns and enable realization of wider application of nanotechnology in agriculture.Metabolites are the end-product of cellular regulatory processes that reflect the ultimate response of an organism to any external stimulus . The plant metabolic pathway databases, curated from experimental literature by the Plant Metabolic Network , report 4,544 compounds involved in 1,123 pathways across 350 plant species . Plants collectively produce a diverse array of 200,000 metabolites, which are broadly divided into two major categories, primary and secondary metabolites . Primary metabolites, which include carbohydrates, amino acids, vitamins, organic acids, and fatty acids, are required for plant growth and development . Secondary metabolites are synthesized from the primary metabolites for adaptation and defense response in plants . The major classes of secondary metabolites are polyketides, terpenoids, steroids, phenylpropanoids, alkaloids, and glucosinolates, which have their own biogenetic pathways and thousands of products and pathway intermediates . Primary metabolites are universal and conserved in their structures throughout the plant kingdom, whereas the secondary metabolites are species-specific and differ in chemical complexity. Any alteration in plant physiology in response to a xenobiotic, such as ENMs, is regulated by molecular events and is reflected at the level of metabolites that participate in interconnected biological pathways such as glycolysis, citric acid cycle, gluconeogenesis, biosynthesis of amino acids, biosynthesis of secondary metabolites, nitrogen metabolism, and fatty acid metabolism. Plant roots also exude metabolites as signaling molecules to defend or adapt to stressors as well as modulate soil chemistry and/or biochemical pathways to influence nutrient bio-availability .

The United States stands as the world’s largest consumer of cocaine

Coca plantations in the 20th century accounted for approximately 7 million hectares of deforestation in the Peruvian Amazon. Trends going into the 21st century reveal that this destruction is still rampant; from 2001-2013 over 290,000 hectares of forest were lost due to processes of cocaine manufacturing. A specific concern of this destruction is that much of the habitat destroyed for drug crops lies inside biodiversity hot spots like the northern-Andean ecosystem, which is singly “the most species-rich region on Earth.”These remote areas are chosen since they happen to be ideal spots for illegal plantations, due to their locations far from urban areas and potential detection. In the aftermath of deforestation, there follows increased levels of erosion and the loss of nutrient-rich top soils, as well as an elevated exposure of species to predation risks and climatic stressors. The deforestation that occurs for coca and marijuana plantations is frequently correlated with “slash and burn” agriculture, making the already destructive practices exponentially more problematic. When trees are felled during a forest clear-cut, not only are they unable to continue sequestering carbon, but the carbon that they have accumulated for decades is then also released into the atmosphere when the trees are incinerated. The production of illicit drugs therefore has an effect beyond the ecosystem level, as plantation efforts further complicate the impacts of greenhouse gasses and climate change. While an in-depth and detailed description is not given here, it is obvious that the loss of old growth forests is a serious risk to the biodiversity and climatic conditions of the world. Efforts by federal agencies, like the Drug Enforcement Administration,cannabis hydroponic set up up to this point, have been focused mainly on stopping the importation, smuggling, sale, and consumption of illicit drugs. This reactive approach of enforcement occurs post drug production, after significant environmental damage has been incurred.

It is necessary for a strategic switch to a more preventive, environmentally-focused approach, that is directed at the public, consumer bases, and law-makers, and focuses on stopping production in its initial stages. By engaging these focal groups, enforcement efforts can rally support from environmental agencies, non-government organizations, and nature advocates. Seeing the strong influence of the widespread “green” and environmental movements, it seems reasonable that an appeal to the ethos of nature may be a valid alternative to the outdated approach of drugs as a “detriment to society”. With the economic support and coordination of intellectual and technological resources, enforcement and environmental agencies, as well as nature advocates, can work in tandem to streamline their preventive efforts aimed at stopping environmentally destructive production processes.The primary solution required for successfully resolving the global and multifaceted issue of drug production, is to improve upon international and intrastate agency cooperation. The concept presented here is not intricate. Simply stated, while limited cooperation does exist between countries, agencies, and via international organizations, like the United Nations, the amount of integration required to accurately address this issue is currently insufficient. Permanent integration is required between these organizations. The current cooperative efforts focused on specific temporal operations are not enough to stem this profound issue that has continually persisted for decades. Intrastate agencies such as the United States Forest Service, Federal Bureau of Investigation, Bureau of Alcohol, Tobacco, Firearms, and Explosives, Central Intelligence Agency, and Drug Enforcement Administration need to fully incorporate their efforts in regards to domestic and international drug control. Internationally, these domestic agencies, led by the initiative of the Executive Branch and the United States Senate, need to establish close links with their counterparts in major cocaine trafficking and growth countries such as Bolivia, Colombia, and Peru. An example of the success that can stem from intimate cooperation between nations is highlighted by the combined efforts of the United States and Colombia in “Plan Colombia”.

A highlight of the cooperation occurred from 2009-2010, when the operation, which closely intertwined multiple agencies and resources of both nations, was able to remove 16,000 hectares of coca plantations, the equivalent of 14% of total Colombian cultivation.While federal outreach programs, such as the Office of National Drug Control Policy’s “Above the Influence” campaign, have addressed marijuana and drug usage in the past through commercial advertisements, the approach used has long been outdated and in need of revision. While the Office of National Drug Control Policy is no longer in oversight of “Above the Influence”, future attempts by the U.S. government or non-government organizations will require an adjustment of focus.Additionally, a 2013 study of marijuana consumption revealed there to be approximately20 million frequent users of cannabis in the U.S.Anti-drug advertisements need to redress their approach by combining traditional health issues with the impacts of environmental destruction that results from cannabis and cocaine production. These campaigns also must make an overt appeal to drug consumers, indicating how they are personally contributing to ecosystem degradation by electing to use these recreational drugs, thus propelling the drug-trade. A new advertising approach focused on enlightening voting constituents and consumers about the environmental damages of marijuana and cocaine production may help reveal issues to the public that they were formerly unaware of, but have vested interests in. Public issue campaigns revealing the determinants that cannabis and cocaine bring to species and ecosystems may prove to be a more substantial deterrent to consumers than the traditional appeals advocating that one should avoid drugs because they are “bad, illegal, and dangerous for your health.” Even if these campaigns are not guaranteed to be effective at declining the consumer base, by exposing to the public and nature advocates the severe impacts brought about by cannabis and cocaine production, an avenue is opened for voters to channel their concerns and appeal to their legislators. State and Federal Congressional members not only have an incentive to follow their constituents’ will, but will also have the power to enact meaningful legal change. Petitions and appeals to legislative bodies such as the Energy and Natural Resource Committee, Caucus on International Narcotics Control, Foreign Affairs Committee, Committee on Homeland Security and Governmental Affairs, Environmental and Public Works Committee, Agriculture, Nutrition, and Forestry Committee will help address issues of cooperation, enforcement, prevention, and regulation.

By appealing to the environmental issues of drug production, enforcement agencies can expand their targeted audience and accrue a wider base of support, thus improving their ability to resolve the multifaceted concerns of cannabis and cocaine production. The main purpose of this paper is to enlighten readers about the non-transparent issues of environmental damage resulting from the drug trade of cocaine and cannabis, and to encourage the integration and cooperation of concerned groups. Provided below are some feasible strategies that could possibly be invoked in future efforts. One of the most practical solutions available would involve the implementation of stricter regulations and enforcement methods for existing and proposed legalized marijuana plantations and facilities. Specifically, there needs to be a detailed review and inspection of greenhouse gas emissions, as well as, the use and disposal of fertilizers and pesticides by certified growers. As the United States continues to expand the number of states that accept the usage of medicinal and recreational marijuana, there needs to be an adaptation of “environmentally friendly” methods of growing, especially in regards to pesticide usage. Whether through solar energy or direct sunlight and natural fertilizers, if legislators are willing to accept the legalized consumption of marijuana in their states they need to also enforce its environmental impacts as well. In regards to the illegal cultivation of cocaine and cannabis, it is imperative that plantation detection and removal methods continue to improve via the implementation of the most advanced technology available. Through the aforementioned incorporation of environmental and enforcement objectives, the overall amount of funding allocated towards preventative enforcement measures will increase. This increase in funds, whether from legislatures expanding budgets, or from private donors and interest groups, will expand the array of options available for developing more economically efficient, and environmentally sound, detection and removal methods. The development of more numerous and effective aerial detection devices, whether in the form of manned or unmanned aircraft, provides a rational solution geared towards monitoring remote regions and identifying where clear-cutting and plantation is occurring, allowing for termination during the initial stages of production. A notable success of aerial detection, and spraying, of coca crops occurred in the combined U.S. and Colombian operation “Plan Colombia”, hydroponic system for cannabis where sustained aerial operations were “credited” with the operation’s successful removal of 16,000 hectares of Colombian coca plantations.However, it is also imperative that there continues to be an evolution of the chemical compounds and pesticides designed to thoroughly exterminate illicit drug crops. Compounds used in the eradication of plantations will continue to have an antithetical effect if they do not simultaneously leave surrounding wildlife, humans, and vegetation unharmed. Finally, by integrating interest groups and concerned citizens into removal processes, governmental organizations can acquire the man-power required to properly dispose of the materials and waste accumulated on cleared plantations; a task typically undermanned and poorly executed. Regarding the societies of nations affected by illicit drug trading, there exists a necessity for the rebuilding of society and reintegration of civilians. Even if crop production is significantly curtailed, without a successful rebuilding process, societies will face issues of adjustment towards legal agricultural, and possibly risk a reversion to the now normalized practices of illicit drug cultivation.

A prime example of what this process entails is provided by Colombia’s “National Consolidation Plan,” which is working to involve and reintegrate Colombian citizens who have been forced into the drug trade, whether out of necessity or violence. With the assistance of the United States, the Colombian government has started eradicating drug crops and subsequently loosening the grips of rebel groups and narcotic organizations, like the Revolutionary Armed Forces of Colombia People’s Army. As these organizations lose their drug supplies, which compose the majority of their incomes, they also lose their ability to exact a stranglehold over local populations. However, since these citizens have been adjusted to violence and forced into illegal methods of raising revenues, such as cultivating coca crops, they require assistance to be reintegrated into society and in reverting back to traditional forms of agriculture.Without demilitarization and reintegration, not only will citizens be unable to confirm to, and thrive in, a legalized society, but many of the former large cartel operations will likely end up splintering into smaller local operation, continuing environmental and societal degradation. To help prevent this type of situation from occurring, the United States Agency for International Development and the Colombian government have worked to implement “livelihood projects” that go beyond illicit crop eradication and include “enterprise development, natural resource protection, institutional strengthening, and promoting access to markets.”Both nations have also worked to introduce drug prevention programs throughout the nation and to reform and improve the legal and judicial systems.Despite the health risks and societal costs of cigarette smoking, the prevalence of smoking in the USA remains high at ∼19 % . Roughly 44 % of cigarettes are used by smokers with substance abuse/dependence and/or mental illness , and people with almost all substance abuse and mental illness diagnoses have elevated rates of cigarette smoking . Cigarette smokers have elevated rates of both caffeine and marijuana use. Roughly half of smokers drink coffee and report drinking almost twice as much coffee per day as nonsmokers . Similarly, among smokers, 57.9 % have ever used marijuana, and smokers are about 8 times more likely than non-smokers to have a marijuana use disorder , with cigarette smoking and marijuana use being associated even after controlling for potential confounding variables, such as depression, alcohol use, and stressful life events . Given the high comorbidity of smoking and both caffeine and marijuana use, it is important to better understand biological factors that may be associated with these co-occurrences. One of the most well-established effects of chronic cigarette smoking on the human brain is widespread upregulation of α4β2* nicotinic acetylcholine receptors . Recent studies using single-photon emission computed tomography and positron emission tomography have consistently demonstrated significant upregulation of these receptors in smokers compared to nonsmokers.

The dispensary category was based on self-reporting by dispensary staff in call verification

If the dispensary had any online activity within the past month , it would be considered active1 . After removing inactive businesses, businesses not selling marijuana, and businesses without storefronts during the verification procedure, the 2,121 unique records were reduced to 826 businesses . These 826 dispensaries constituted the call-verified, combined database of active brick-and-mortar dispensaries in California. Validity statistics, including sensitivity, specificity, positive predictive value , and negative predictive value were computed for each of the four secondary data sources when applicable. Definitions and calculations were described in Technical Note S1. To compute validity statistics, a gold standard must be defined that can identify the “true positive” and the “true negative”. Field census is typically considered the gold standard in retail outlet research. However, it is infeasible in this study due to budget and time constraints for a statewide census. Two gold standards were adopted alternatively to answer the two research questions. To answer the first question regarding the validity of online crowd sourcing platforms in enumerating licensed brick-and-mortar marijuana dispensaries, the first gold standard was whether a record was listed in the BCC state licensing directory . To answer the second question regarding the validity of state licensing directory and online crowd sourcing platforms in enumerating active brick-and-mortar marijuana dispensaries, the second gold standard was whether a record was included in the call-verified, combined database of active dispensaries . We must also define a test that can identify the “positive test” and the “negative test” in validity statistics calculations. Two tests were conducted. The first test was whether a record was present in a given data source after online data cleaning . We used this test to examine the validity of using a single data source with simple online data cleaning for dispensary identification,vertical farming supplies an approach requiring moderate resources.

The second test was whether a record passed call verification; in other words, whether the record was verified to be an active brick-and-mortar dispensary . We used this test to examine the validity of using a single data source with simple online data cleaning plus call verification for dispensary identification, an approach requiring much more resources. To illustrate these validity statistics in the context of this study, we provide an example below . In this example, the data source of interest is Weed maps, the gold standard is whether a record on Weed maps was present in the BCC state licensing directory, and the test is whether a record was present on Weed maps after online data cleaning. Sensitivity measures the probability of a record present on Weed maps conditional on the record being included in the BCC directory, calculated as the number of records that were present on both Weed maps and the BCC directory divided by the number of records present on the BCC directory. Specificity measures the probability of a record absent on Weed maps conditional on the record being excluded from the BCC directory, calculated as the number of records that were neither present on Weed maps nor present on the BCC directory divided by the number of records excluded from the BCC directory. PPV measures the probability of a record included in the BCC directory conditional on the record being present on Weed maps, calculated as the number of records that were present on both Weed maps and the BCC directory divided by the number of records present on Weed maps. NPV measures the probability of a record excluded from the BCC directory conditional on the record being absent on Weed maps, calculated as the number of records that were neither present on Weed maps nor present on the BCC directory divided by the number of records being absent on Weed maps. You will notice that specificity and NPV cannot be calculated in this example, because we were not able to identify a “true negative”, a record that was excluded from Weed maps and also absent in the BCC directory. In fact, not all validity statistics were applicable to a combination of a gold standard and a test with the current study design . Following tobacco outlet research , we considered validity statistics 0-0.2 to be poor, 0.21-0.4 to be fair, 0.41-0.6 to be moderate, 0.61-0.8 to be good, and 0.81-1.0 to be very good. R Version 3.5.3 was used to calculate 95% confidence intervals for all the validity statistics. We computed overall statistics as well as the statistics by dispensary category and county population size . Locations of call-verified active brick-and-mortar dispensaries in California were mapped with ArcGIS Version 10.5.

A total of 2,121 business records were combined from BCC and the three online crowd sourcing platforms after online data cleaning. BCC, Weed maps, Leafly, and Yelp had 630, 811, 535, and 1,468 records included in the combined database, respectively. The overlaps across the data sources were presented in Figure S1. Only 240 records were present in all four data sources. Following call verification, the 2,121 records were reduced to 826, which were confirmed to be active brick-and-mortar dispensaries. Among the 1,295 records removed during call verification, 56.0% were closed, 4.2% were not open yet, 38.0% were not selling marijuana, and 1.8% had no storefronts . BCC, Weed maps, Leafly, and Yelp had 486, 659, 459, and 471 records included in these 826 verified dispensaries, respectively. The overlaps across the data sources were presented in Figure S2. The 826 records included 77 recreational-only, 65 medical-only, and 684 recreational & medical dispensaries.Table 1 reports validity statistics using the BCC licensing directory as the gold standard. When the test was whether being present on each online crowd sourcing platform after online data cleaning, Leafly had good sensitivity and Weed maps and Yelp had moderate sensitivity . It indicated that 70% of the BCC licensing directory could be found on Leafly. Leafly also had very good PPV , yet Yelp’s PPV was only fair . It indicated that 83% of Leafly records were included in the BCC licensing directory. When the test was whether passing call verification, Leafly still had the highest sensitivity and PPV , and Yelp had the highest specificity and NPV . It indicated that, call-verified Leafly records performed the best for identifying truly licensed dispensaries and call-verified Yelp records performed the best for identifying truly unlicensed dispensaries in this scenario. Table 2 reports validity statistics using the call-verified, combined database as the gold standard. When the test was whether being present in each data source after online data cleaning, Weed maps had the highest sensitivity and BCC, Leafly, and Yelp all had moderate level of sensitivity ranging from .56 to .59. It indicated that 80% of the call-verified, combined database of active dispensaries could be found on Weed maps. Leafly and Weed maps had very good PPV , and Yelp’s PPV was only fair . It indicated that 86% of Leafly records were included in the call-verified, combined database of active dispensaries. When the test was whether passing call verification, sensitivity statistics remained the same as when the test was whether being present in each data source. This was because call-verified businesses in each data source were a subset of the businesses included in each data source before call verification, such that the numerators and denominators for sensitivity calculation remained the same. Yelp had the highest NPV and Leafly had the lowest NPV . It indicated that call-verified Yelp records performed the best for identifying truly not active brick-and-mortar dispensaries.Table 3 reports the agreement between BCC, online crowd sourcing platforms, and call verification in terms of the category of the 630 licensed dispensaries.

Approximately 25% of the licensed dispensaries on Weed maps and 29% of the licensed dispensaries on Leafly posted their category that disagreed with what was approved in the BCC license. Approximately 12% of the call-verified, licensed dispensaries stated their category in call verification that disagreed with what was approved in the BCC license. Most of the businesses that stated an unapproved category on online crowd sourcing platforms and/or in call verification claimed themselves to be recreational & medical when they were only licensed for recreational-only or medical-only. Table S3 quantifies category-specific validity statistics when the gold standard was whether being present in the BCC licensing directory. Leafly had the highest sensitivity in recreational-only and recreational & medical categories and Weed maps had the highest sensitivity in medical-only category,cannabis indoor greenhouse regardless of the definition of a test. Table S4 quantifies category-specific validity statistics when the gold standard was whether being present in the call verified, combined database. When the test was whether being present in each data source after online data cleaning, Weed maps had the highest sensitivity in identifying recreational-only and medical-only dispensaries, yet BCC had the highest sensitivity in identifying recreational & medical dispensaries. When the test was whether passing call verification, Weed maps overall had the highest sensitivity in all three categories. In 2019, California had 16 counties with a population size above one million and 42 counties with a population size below one million. Table S5 reports validity statistics by county population size when the gold standard was whether being present in the BCC licensing directory. Leafly had the highest sensitivity regardless of test definition and county population size. Table S6 reports validity statistics by county population size when the gold standard was whether being present in the call-verified, combined database. Regardless of test definition, Weed maps had the highest sensitivity in more populated counties and BCC had the highest sensitivity in less populated counties. This study is the first to assess the validity of secondary data sources in identifying brick and-mortar marijuana dispensaries across a large state. We reported the validity of online crowd sourcing platforms in enumerating licensed dispensaries and the validity of state licensing directory and online crowd sourcing platforms in enumerating active dispensaries. Regarding the validity of using online crowd sourcing platforms in identifying the BCC licensing directory, all three online crowd sourcing platforms were able to include over 50% records in the BCC directory, with Leafly containing the largest number of licensed dispensaries . These findings suggested that the online crowd sourcing platforms could serve as a reasonable proxy for the licensing directory. It evidences the validity for many existing and future studies to utilize online crowd sourcing platforms for dispensary identification, especially if a licensing system is not open to the public or is updated infrequently.

It should be noted, however, that the dispensary category registered in the BCC directory may be mismatched with the “de facto” category in which dispensaries operated. Over 25% licensed dispensaries on online crowd sourcing platforms posted their category that disagreed with the BCC license and over 10% call-verified, licensed dispensaries stated their category in call verification that disagreed with the BCC license. Particularly, most of such dispensaries claimed themselves to be recreational & medical while they were only licensed for recreational only or medical only. Such disagreement might be intentionally used as a means of attracting customers or be reflective of how dispensaries operate in practice. Regarding the validity of using the state licensing directory in identifying active brick and-mortar dispensaries, over 20% licensed dispensaries did not pass call verification. This indicated that business licenses may not accurately represent businesses’ operation status in reality. For instance, a business may have been closed before its license is expired and a business may not be open yet even though its license has been approved. In the final 826 call-verified dispensaries, 58.8% were included in the BCC licensing directory. This indicated that the BCC directory failed to capture unlicensed dispensaries, which accounted for over 40% of the total active dispensaries in California. Solely relying on a state licensing directory would overestimate active, licensed dispensaries whereby overlook active, unlicensed dispensaries. Regarding the validity of using online crowd sourcing platforms in identifying active brick-and-mortar dispensaries, Weed maps had a nearly very good sensitivity; it contributed 80% of the records in the final call-verified, combined database. It had the highest sensitivity in identifying recreational-only and medical-only dispensaries. It was also the most sensitive database in identifying dispensaries in more populated counties, which were mostly urban areas. The high concentration of dispensaries and intense competition in urban areas may motivate more businesses to promote themselves on this highly visible and popular platform . Leafly had the lowest sensitivity in identifying active dispensaries. It also had the lowest sensitivity in identifying all three dispensary categories. It is likely because the costs of advertising on Leafly were substantially higher than other online crowd sourcing platforms specialized in marijuana .

Rats that were exposed to cannabis smoke were also reported to exhibit a decrease in anxiety-like behavior

Two rats were excluded during the acquisition phase because of the failure of catheter patiency. In the course of the escalation phase, three rats were excluded from the study because of the failure of catheter patiency at the end of the study, and one rat in the vehicle group died unexpectedly during the day of from cocaine self-administration before the study was completed, thus leaving n=6 rats/group for the final analysis. Te exclusion of those data did not affect the results of the statistical analysis.Te present study found that adolescent WIN exposure increased irritability-like behavior in adolescence, which persisted into adulthood, induced cross-sensitization to the locomotor-stimulating effect of cocaine in adolescence, which did not persist into adulthood, decreased the speed of acquisition but not the rate of cocaine self-administration in adulthood, and had no effect on the escalation of cocaine self-administration in adulthood. Overall, these results demonstrate that although cannabinoid exposure in adolescence induces irritability-like behavior and cross-sensitization to the psychostimulant effect of cocaine during adolescence, it does not promote cocaine self-administration once the animals reach adulthood. However, the effect of adolescent WIN exposure on cocaine self-administration in adolescence was not investigated in the present study because the animals reached adulthood by the time they had recovered from the surgeries that were required for self-administration. Reductions of both body weight and food intake were observed during WIN treatment. Although the activation of cannabinoid receptors typically produces an increase in food intake in adulthood,hydroponic drain table accumulating evidence suggests that adolescent exposure to THC or WIN in rats decreases food intake and body weight.

Te increase in water intake during WIN exposure in the present study confirms the role of cannabinoid receptors in homeostatic responses that regulate not only energy homeostasis but also fluid balance. Irritability, anxiety, and dysphoria are key negative emotional states that characterize the withdrawal syndrome in humans, which arises when access to the drug is prevented and contributes to drug relapse. Irritability has also been reported to be greater in adolescents at higher risk for substance use. Irritability-like behavior has also been shown to increase during withdrawal from alcohol and nicotine in rodents. However, to our knowledge, whether early exposure to cannabinoids affects irritability-like behavior has not been studied in animal models. In the present study, we found that WIN exposure induced irritability-like behavior in adolescence and adulthood, suggesting that cannabinoid exposure in adolescence induces long-lasting neurobehavioral adaptations that can persist months after WIN exposure. However, further studies are needed to investigate whether this finding has translational relevance. An alternative explanation is that, despite blind randomization of the subjects to the two groups, the increase in irritability-like behavior that was observed in WIN-treated rats may be attributable to preexisting differences in irritability-like behavior. Further studies are needed to investigate whether this finding has translational relevance. Numerous human studies demonstrate that early cannabis use is associated with greater vulnerability to the later development of drug addiction and psychiatric illness. A recent study reported a pivotal role for cannabinoid receptors as molecular mediators of adolescent behavior and suggested that cannabinoid receptors may be important in adolescent-onset mental health disorders. Chronic adolescent exposure to WIN has also been shown to induce anxiety-like behavior in rats. However, contradictory findings have also been published, with either no change or even a decrease in anxiety-like behavior after cannabinoid exposure in adolescence.Interestingly, a previous study also demonstrated that long-term cognitive and behavioral dysfunction that was induced by adolescent THC exposure could be prevented by concurrent cannabidiol treatment.

Importantly, WIN acts as a full cannabinoid receptor agonist, in contrast to THC, which only acts as a partial agonist. Moreover, cannabis is known to consist of dozens of additional phytocannabinoids apart from THC. Furthermore, different strains of cannabis differ in their THC content, and THC levels in cannabis have increased year after year because of consumer demand, thus making direct comparisons of human data across time and across studies difficult. Nevertheless, we chose this model of early cannabinoid exposure and followed it precisely because it has been shown to induce cocaine cross-sensitization, thus supporting the gateway hypothesis. Further studies are needed to investigate whether the long-term irritability-like behavior that was observed in the present study can be prevented by concurrent cannabidiol treatment or whether adolescent exposure to cannabis smoke induces long-lasting irritability-like behavior in rats. Epidemiological data consistently document that cannabis exposure precedes the use of other illicit drugs. However, epidemiological data cannot provide causal evidence of this sequence. Animal models are particularly useful for studying effects that are related to cross-sensitization because they allow sequential administrations of the studied drugs while controlling for confounding variables. Several studies have reported behavioral cross-sensitization between cannabinoids and stimulants in rodents. WIN treatment during adolescence in rats induces long-lasting cross-tolerance to morphine, cocaine, and amphetamine, potentiates amphetamine-induced psychomotor sensitization, and induces cocaine-induced psychomotor sensitization in adolescence. WIN exposure also leads to increases in methylenedioxymethamphetamine-induced and cocaine-induced conditioned place preference.

In the present study, WIN exposure in adolescence induced cross-sensitization to the stimulatory effect of cocaine in adolescence. However, this effect was no longer present in adulthood when the rats had self-administered cocaine for several weeks, suggesting that cannabinoid exposure in adolescence may increase the psychomotor effects of cocaine during the first exposure to cocaine, but this effect is not necessarily long-lasting. Cannabinoid exposure increased irritability-like behavior and the psychomotor effects of cocaine, but it did not promote the acquisition or escalation of cocaine self-administration. Indeed, we observed the slower acquisition of cocaine self-administration with 1-h short-access to cocaine in male rats with prior exposure to WIN compared with controls. In contrast, a previous study reported a trend toward an increase in cocaine self-administration during the short acquisition phase in female rats with prior exposure to the cannabinoid receptor agonist CP55,940 but not in male rats. However, this study did not discriminate between inactive and active levers, and no difference in cocaine self-administration was observed during the 14-day maintenance phase in either sex. A recent study showed that adolescent WIN exposure caused impairments in an attentional set-shifting task, a measure of cognitive fexibility, in adulthood. An alternative hypothesis is that the slower acquisition of cocaine self-administration in adulthood that was observed in the present study may be attributable to cognitive impairment that slows the acquisition of operant responding. In humans, several studies have indicated that the adolescent use of cannabis can lead to long-term cognitive deficits, including problems with attention and memory. During escalation, no differences were observed between the rats that were exposed to vehicle in adolescence and the rats that were exposed to WIN in adolescence. This suggests that if cognitive impairments affected the initial acquisition of self-administration, then they did not produce long-term deficits. Te model of long-access to cocaine self-administration is one of the most validated animal models of cocaine use disorder and drug addiction in general. This model has been shown to result in all seven of the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders, 4th edition , and seven of the 11 DSM-5 criteria, including most of the criteria that are required for severe use disorder: tolerance, withdrawal, substance taken in larger amount than intended, unsuccessful efforts to quit, considerable time spent to obtain the drug, important social, work,rolling benches hydroponics or recreational activities given up because of use, and continued use despite adverse consequences.

Te present study found no effect of adolescent cannabinoid exposure in the escalation model, suggesting that adolescent WIN exposure may not facilitate the acquisition, maintenance, or escalation of cocaine use in adulthood. An alternative hypothesis is that the effect of cannabinoid use may not be observed on cocaine intake per se; instead, cannabinoid exposure may produce an increase in the motivation for cocaine, leading to an increase in compulsive cocaine seeking. Indeed, prior exposure to another potential gateway drug, alcohol, was found to have no effect on subsequent cocaine self-administration per se but produced greater motivation and compulsive-like cocaine seeking under a PR schedule of reinforcement. However, we observed no differences between the WIN-exposed and control groups in adulthood when we used a PR schedule of reinforcement to examine whether rats with prior exposure to WIN express alterations of the motivation to self-administer cocaine.One limitation of long-term behavioral studies in adolescent rats, including the present study, is that puberty in rats is relatively short. Compared with adults, rats that are allowed to self-administer cocaine during adolescence have been shown to be more vulnerable to cocaine addiction. Unfortunately, in the model of cannabinoid exposure during adolescence , cocaine self-administration can only be studied starting in late adolescence and continuing into adulthood because rats exit puberty by PND60. Because of this limitation, one possibility is that cannabinoid exposure during adolescence may affect cocaine intake in adolescence. Te present results demonstrate that chronic exposure to cannabinoids does not facilitate the acquisition of cocaine self-administration or compulsive-like cocaine intake in adulthood, measured by the escalation of cocaine self-administration and PR responding in a relevant model of cocaine use disorder. These results suggest that cannabinoid exposure per se is unlikely to be causally responsible for the association between prior cannabis use and future cocaine use in adulthood as purported by the gateway hypothesis. However, we found that cannabinoid exposure produced long-lasting increases in irritability-like behavior, which may indirectly facilitate the emergence of social conflicts and other mental disorders that may contribute to the abuse of drugs other than cocaine. Additionally, the cross-sensitization between WIN and cocaine in adolescence—which was not observed in adulthood—may highlight a short-term increase in the vulnerability to cocaine-induced behaviors. In summary, the present results showed that cannabinoid exposure during adolescence in rats produced cross-sensitization to cocaine in adolescence and a long-lasting increase in irritability-like behavior in adulthood.

However, it did not facilitate the acquisition or escalation of cocaine self-administration or compulsive-like responding for cocaine in adulthood.SUD is a chronic, relapsing disease. CM is a behavioral treatment based on operant conditioning principles that involves providing incentives for meeting specified goals or engaging in target behaviors. CM related to SUD treatment generally involves giving patients tangible rewards such as prizes, cash, or vouchers to reinforce goal behaviors, such as abstinence, medication adherence, or greater/continued engagement with treatment. SUD services such as counseling are already a Medi-Cal covered benefit. CM is often intended as a way to improve the outcomes of these services. CM is not a benefit that directly covers a health care screening, treatment, service, or item. Rather it is an incentive, analogous to, for example, incentive payments for members participating in wellness programs to encourage healthy behaviors. The total cash value a patient could receive through CM ranges widely, with a mean of $914.46 and a median of $466 earned. CHBRP has assumed that CM for SUD treatment programs would be allowed for Medi-Cal beneficiaries .Treatments for SUD include residential, inpatient, and outpatient care using behavioral therapy, counseling, and/or prescription medication. Mutual help groups also support those with SUD to achieve and maintain sobriety. CM can be used as an adjunct to psychosocial treatments for SUD or as a standalone behavioral treatment. Descriptions of treatments for stimulant and cannabis use disorder follow. Stimulants are a class of drugs that includes prescription medications to treat ADHD as well as illicit drugs such as cocaine and methamphetamine. Repeated misuse of stimulants can lead to psychological consequences, such as hostility, paranoia, psychosis, as well as physical consequences of high body temperatures, irregular heartbeats, and the potential for cardiovascular failure or seizures. In California, it is estimated that 33% of all admissions to state- and county-contracted SUD programs are for stimulant use disorders – representing nearly 50,000 admissions annually. It is estimated that there are approximately 3,035 deaths from stimulant use disorder in California each year. Cannabis, also known as marijuana, is the most commonly used psychoactive drug in the United States, after alcohol. Acute effects of cannabis use include nausea, vomiting, and abdominal pain, while chronic impacts include cognitive impairment, pulmonary disease, and sleep disturbance.

Criteria counts for each substance were limited to those who indicated ever using the corresponding substance

Beyond being useful for research purposes, researchers have begun to examine the potential of PRS to predict risk for medical outcomes in clinical settings. PRS for coronary artery disease , atrial fibrillation , type 2 diabetes , inflammatory bowel disease , and breast cancer have been found to be as predictive of these diseases as well known monogenic mutations, which tend to be rarer, and could lead to improved screening for larger numbers of individual who are at risk. Individuals in the top 5% of the PRS distributions had ~3 fold likelihood of having CAD, AF, T2D, IBS, or BC compared to the bottom 95%. For obesity, individuals in the top PRS decile were on average 13 kg heavier than those in the bottom decile. These studies demonstrate the potential for identifying individuals at heightened risk for various medical conditions using PRS. Given that AUD is a moderately heritable trait and GWAS for alcohol-related phenotypes are beginning to identify numerous variants associated with these outcomes, PRS for alcohol-related outcomes may be also able to identify individuals at heightened risk of developing an AUD. In the current analysis, we tested PRS in two target samples, a population-based sample and a clinically ascertained sample of families deeply affected by AUD, to evaluate the current state of alcohol-related PRS in relation to AUD and identifying those at heightened risk. We use several discovery samples from large-scale GWAS to create three PRS: a meta-analysis of two GWASs on alcohol-related problems, a recent large scale GWAS of alcohol consumption, and a GWAS for risky behaviors, including alcohol use. We chose to test PRS based on multiple alcohol-related GWAS because multiple lines of evidence indicate alcohol consumption and dependence have only partially shared genetic etiology. Additionally, we include a PRS for general risk behavior as there is robust evidence that the genetic risk for alcohol and other substance use disorders is shared with other disorders and behaviors related to reduced inhibitory control. Similar to recent work for specific medical conditions, greenhouse tables we compare the upper end of the PRS distribution at various thresholds to examine whether focusing on these upper parts of the distribution provide additional information in identifying those at increased risk of developing an AUD.

We acknowledge the exploratory nature of these analyses and the arbitrary nature of our thresholds in the absence of well-defined clinical risk scores, such as those for medical conditions like hypertension. Finally, we test the association of these PRSs with other substance use disorders , based on the robust finding that substance use disorders share an underlying genetic architecture, with the majority of the heritability shared across substances.We constructed lifetime criteria counts of cannabis, cocaine, and opioid use disorders based on DSM-5 criteria. We measured nicotine dependence criteria using the Fager strom Test for Nicotine Dependence , which assesses six criteria and has values ranging from 0 to 10 in both COGA and FT12. Because many illicit SUDs were not measured or rare in the FT12 data, we limit analyses of illicit SUD to COGA. Like AUD, these criteria counts represent the maximum reported for each respondent across the course of the study.In the case of FTND, this is limited to those who report smoking 100+ cigarettes in their lifetime.We created PRS derived from publicly available large scale GWASs. Information on genotyping and quality control is available in the Supplementary information. We created PRS using a Bayesian regression and continuous shrinkage method. PRS-CS uses LD information from an external reference panel to estimate the posterior effect sizes for each SNP in a given set of GWAS summary statistics. Both empirical tests and simulations have shown improved predictive power above traditional methods of score construction. For computational purposes, we limited the SNPS for score creation to HapMap3 SNPs that overlapped between the original GWAS summary statistics, the LD reference panel, and the target samples for score creation. We converted PRS to Z-scores for interpretation. We used four primary discovery GWASs to create three different PRSs. The first was from a recent GWAS of number of alcoholic drinks per week in approximately one million individuals provided by the GWAS & Sequencing Consortium of Alcohol and Nicotine Use. We obtained GSCAN summary statistics with all Finnish and 23 and Me cohorts removed . The PRS for alcohol problems were derived from a meta-analysis of two GWASs: a GWAS on the problem subscale from the Alcohol Use Disorders Identification Test in 121,604 individuals from the UK Biobank and the Psychiatric Genomcs Consurtium’s GWAS of alcohol dependence. Both FT12 and COGA were in the initial AD GWAS and we obtained summary statistics with each cohort removed . Finally, we derived a PRS for risky behaviors from a GWAS of the first prinicipal component of four risky behaviors from 315,894 individuals in the UK Biobank.

While this PRS does include alcohol consumption and smoking, it captures the shared variance between these substance use measures and the other two risky behaviors. These polygenic scores covered the domains of alcohol consumption , alcohol problems , and general externalizing .We first identified the predictive power for each PRS in both COGA and FT12 using the change in R2 above a baseline model with sex, age of last observation, the first ten ancestral principal components , genotyping array, and data collection site . We used linear/generalized-linear mixed-effects models with random intercepts to adjust for clustering at the family level and a pseudo-R2 for mixed models. In addition to the predictive power of individual PRS, we estimated the conditional effect of all PRS on AUD criteria to examine whether each PRS explained unique variance in AUD criteria. We also calculated the area under the curve of the conditional model containing all continuous PRS to estimate sensitivity/specificity. AUC provides an estimate of the probability a randomly selected case has predicted value more extreme than that of a randomly chosen control. An AUC of 0.5 indicates that a classifier does not provide any useful information in determining cases from controls . We next divided PRSs at several thresholds to examine whether there was a non-linear increase in risk of AUD across the PRS continuum. Finally, we compared mean values of other substance use outcomes for the top 5% in each PRS to those in the bottom 95%. We selected this threshold based in the increased prevalence of AUD in those in the top 5% of the PRS distributions . All code is available upon request from the corresponding author.In order to estimate whether individuals at the extreme end of the PRS distribution were at elevated risk of AUD, we compared the risk of AUD between those above and below a given threshold in the distribution. We divided these PRSs at the 80th, 90th, and 95th percentile in each sample and estimated the odds ratio for AUD in the top portion of the distribution relative to the bottom portion of the distribution . Table 2 provides the estimates for all of those models. Across each threshold for AUD severity in COGA, we observed a similar pattern where, as expected, those in the upper end of the polygenic distribution had greater odds of meeting criteria for AUD. However, regardless of the threshold, the OR’s at each threshold were roughly equivalent. For example, in the case of severe AUD, when dividing 80th percentile , 90th percentile , or 95th percentile , all of confidence intervals for the point estimates overlap. In FT12, there was a similar pattern. Though some of the point estimates appear to increase as the thresholds become more restrictive,vertical farming the confidence intervals again overlap.Researchers have begun to evaluate the potential for use of PRS in clinical settings. In this analysis, we examined the current predictive power and strength of association between several PRSs and a variety of SUDs, with a focus on AUD in both a clinically ascertained and a population-based sample. We were interested in which scores based on available GWASs provided the strongest association with alcohol use disorder, whether these scores explained unique variance in AUD in a conditional model, and how well these scores discriminated between cases and controls; what the risk of AUD was for those at the upper end of the risk continuum compared to the bottom; and 3) the levels of substance use disorder criteria for individuals at the top 5% of the polygenic score continuum compared to remaining 95%.In terms of which polygenic scores were the most predictive, we considered three scores: one based on problematic alcohol use , one based on alcohol consumption , and one based on general risky behaviors , as twin and family studies have shown alcohol and other risk behaviors to be genetically correlated traits. In both samples, the GSCAN DPW PRS was the most strongly associated, followed closely by the RISK PC PRS. When we included all of the PRS in one model, all three PRS were associated with AUD criteria in COGA. Only the RISK PC and GSCAN DPW PRS were associated with AUD criteria in FT12.

Overall, the unique contributions of each PRS reinforce the notion that the genetics of AUD are multifaceted, comprised of risk for level of consumption, alcohol-related problems, and behavioral disinhibition. Evaluating the AUC for the combined PRS revealed the combined effect of PRSs only marginally improved the AUC, similar to recent analyses for coronary artery disease and ischemic stroke. We ran a series of sensitivity analyses to test whether differences across the samples reflected age differences rather than differences in ascertainment. Restricting COGA to participants under 30 did not fundamentally change the results . Evaluating the AUC for the combined PRS revealed the combined effect of PRSs only marginally improved the AUC over models with just covariates. In an exploratory approach, we chose a series of more restrictive thresholds to divide the PRS distribution. The odds of having an AUD were statistically indistinguishable across each of the thresholds in both COGA and FT12. Even though the point estimates increased in some cases, the confidence intervals around these estimates were relatively large and they did not differ significantly. Additionally, there were only a small number of individuals in the severe category in FT12 and we urge caution in interpreting these estimates. Finally, the top 5% of the continuum for each PRS reported elevated rates of other SUD criteria compared to the bottom 95%. The RISK PC PRS was most associated with higher mean levels of SUD criteria, suggesting that risk for externalizing may be particularly useful in identifying individuals at risk for multiple SUDs. These initial findings suggest the current PRSs are unlikely to prove useful for SUDs in a clinical setting. Being able to eventually identify those at heightened risk for SUDs may allow for more targeted early intervention and prevention. However, before this is possible, larger discovery GWAS across substance use phenotypes with PRS that explain greater portions of the variance will be necessary. As GWAS sample sizes for SUDs increase, we will likely see increases in effect size. Additionally, using multivariate techniques to model the shared genetic architecture across existing SUD GWAS to include both aspects of externalizing and internalizing may also improve prediction. Inclusion of genetic data in a clinical setting will also require that psychiatrists and clinicians receive greater training in genetics and/or that they partner with genetic counselors, so they are both better able to understand what increased genetic risk means and be able convey that information accurately to their patients. In addition to clinical utility, we must ensure that regulations and protections surrounding the use of genetic information in clinical settings can adequately protect the rights of individuals who are identified to be “at risk.” This research has several important limitations. First, all analyses were limited to individuals of European ancestry because the discovery GWASs available were conducted in individuals of primarily European ancestry. It will be important to ascertain sizable samples of subjects with non European ancestries to properly estimate the predictive utility of PRS in non-European samples. This is especially important for racial-ethnic minorities so that health disparities are not further perpetuated. Second, our use of lifetime diagnoses may obscure the impact of changing genetic influences on the development of AUD across the life course.

No little cigar or cigarillo items were found at schools in upper income communities

However, these effects of WIN on body weight were transitory, as the difference in females did not persist into adulthood. For the behavioral assessments, female subjects were overall more resistant to the long-term effects of adolescent drug exposure. Group differences were only found in the sucrose consumption test, in which the moderate dose WIN females exhibited decreased natural reward consumption compared to the control females. However, differences from the control were not found with the female nicotine and WIN co-exposure condition for sucrose consumption, suggesting that the presence of nicotine ameliorated the actions of WIN on reward circuitry during the adolescent period. In contrast, adolescent exposure to a low dose of WIN had no effect on physiological or behavioral measures, either alone or in the presence of nicotine, for both males and females. Taken together, these findings demonstrate that while adolescent cannabinoid agonist exposure at a moderate dose exerts variable effects on both physiological and behavioral measures in males and females, co-administration of nicotine surprisingly counteracted some of these effects by normalizing to control levels.While prior studies have examined the effects of adolescent exposure of either nicotine or WIN alone on later behaviors, the current findings represent the first examination of the effects of co-exposure during mid-adolescence and subsequent long-term effects on adult behavior. This age range was selected based on the correlation to human adolescence with higher levels of experimentation and more recurrent patterns of drug consumption than that found in younger individuals. With regard to nicotine alone, opposing effects have been found in male Sprague-Dawley rats with increased depression-associated behaviors, vertical outdoor farming but no difference in anxiety-associated behaviors, during adulthood.

However, these behavioral differences were only found at higher nicotine doses approximately twice that administered in the current study. Chronic exposure approaches with a mini pump or nicotine patch at higher doses have also demonstrated decreased exploratory activity, decreased food consumption under anxiety-related conditions, and deficits in contextual condition to shock-associated cues in Sprague-Dawley rats. In mice, adolescent exposure to high dose mini pump has also been shown to disrupt contextual fear condition, but not cued fear conditioning. However, since studies have shown that of those adolescents age 12–17 who smoke, the majority smoke one or less than one cigarette per day, the current studies focused on a rewarding dose with once daily exposure as an investigative goal. Thus, the lack of difference in the behavioral measures with nicotine exposure in the current studies may be attributed to this relatively lower dose administered. Along these lines, it should be noted that this dose was selected based on the rewarding effects of doses in this range, as assessed with the brain reward threshold measure, and behavioral effects elicited in adolescent mice, and thus, the current results have particular relevance to experimental patterns of drug consumption found in youth. With adolescent cannabinoid agonist exposure, findings derived from prior rat studies have been somewhat variable. In one study, adolescent male and female rats treated with the cannabinoid agonist, CP 55,940, exhibited overall increased time on the open-arm of the elevated plus maze, but these effects were not maintained when examining males and females independently, suggesting these differences may have been confounded by baseline differences between the sexes. Since CP 55,940 has high affinity for both the CB1 and CB2 receptors, as well as GPR55, the lack of differences within each sex for drug condition may also have been due to actions on alternate signaling pathways or differences in agonist actions. Interestingly, male Sprague-Dawley rats treated with WIN, the CB1 and CB2 specific agonist, during adolescence exhibited increased depressive-like behaviors in the forced swim and sucrose consumption tests. In our mouse studies, we did not find any differences in these measures with the low dose of WIN and opposing effects at the moderate dose of WIN, indicating that species differences in metabolism and/or genetic heritability factors likely mediate the effects of cannabinoids on adolescent neuro development.

Finally, adolescent WIN exposure has also been found to increase palatable food intake and alter attribution of incentive salience for food reward in adult male Long Evans rats. The increase in natural reward-related effects with adolescent exposure is consistent with our findings at the moderate WIN dose in mice, suggesting cannabinoid exposure during adolescence similarly alters brain reward pathways to enhance subsequent responsiveness to natural reward. Interestingly, Schoch and colleagues also demonstrated increased expression of the endocannabinoids anandamide and oleoylethanolamine in the nucleus accumbens only during a food restricted state with adolescent WIN exposure in rats . Thus, dependent on the availability of food and level of satiety, changes in neural systems regulating reward-related behaviors may be differentially affected in the presence of cannabinoids. Along these lines, it is interesting to note that in the current study, mice were at a satiated level during sucrose consumption, during which time the opposing differences were found in males and females exposed to adolescent WIN. However, during conditions of food restriction, such as during operant food training in the current study, group differences only emerged for males in the reversal task. Thus, altered endocannabinoid signaling may account for this effect during the food restricted state, whereas other mechanisms likely underlie the behavioral differences observed in the anxiety and natural reward-related measures. Cannabinoid and nicotinic acetylcholine receptors exhibit overlapping expression within brain regions implicated in reward-related and affective behaviors, including the prefrontal cortex, ventral tegmental area, nucleus accumbens, medial habenula, interpeduncular nucleus and hippocampus. On the cellular level, both receptors types are expressed on presynaptic terminals and function to modulate release of various neurotransmitters. For instance, with acute administration, both drugs increase extracellular dopamine in the nucleus accumbens and prefrontal cortex , and adolescent cannabinoid or nicotine exposure have also been shown to affect cholinergic, serotonergic and noradrenergic signaling mechanisms. Thus, in consideration of the effects of nicotine and cannabinoids on several neurotransmitter systems and the behavioral findings from the current studies, future studies will need to dissect the differential impact of single or co-drug exposure during adolescence on neural signaling mechanisms. In conclusion, activation of cannabinoid receptors with or without nicotine led to differential sex-specific effects on anxiety- and reward-related behaviors during adulthood. Together, these studies provide evidence that adolescent exposure to drugs of abuse may lead to alterations in affective and cognitive behaviors during adulthood. These data support the conclusion that consumption of cannabis by youth may alter later cognitive function, and thus, policy approaches should be considered to discourage and/or restrict substance use by this vulnerable population.The United States is experiencing an epidemic of lung injury associated with youth electronic cigarette use, or vaping ; in 2018, 20.8% of U.S. high school students reported currently using e-cigarette.

E-cigarette products such as Juul, a popular device that delivers nicotine and flavors,* are used by students at schools, including in classrooms and bathrooms.† Use of flavored e-cigarettes by youths has become an increasing concern . A recent analysis of the National Youth Tobacco Survey showed that among high school students who currently used e-cigarettes, the percentage who used flavored e-cigarettes increased from 65.1% in 2014 to 67.8% in 2018 . In 2018, 8.1% of high school students currently smoked cigarettes, and 45.7% of those students smoked menthol cigarettes. In addition, 7.6% of high school students currently smoked cigarillos, little cigars, or cigars, 43.6% of whom used flavored varieties of these products . Many youths also use cigars to make marijuana blunts , and some use manufactured disposable cannabis products . Waste from e-cigarette products can contain plastics, nicotine, heavy metals, other chemical toxins, and hazardous lithium-ion batteries . The toxicity of combustible tobacco product waste from cigarettes is well established . Cannabis product waste can include plastics, metals, electronic components, and batteries. A garbology study of environmental contamination from e-cigarette product waste, combustible tobacco product waste, and cannabis product waste was conducted using a purposively selected, nonrandom sample of 12 public high schools with a total enrollment of 18,831 students in Alameda, Contra Costa, Marin, and San Francisco counties in California. Using 2016 data from the National Center for Education Statistics,rolling grow table researchers stratified schools by the percentages of students from low-income families .At each school, researchers systematically scanned the student parking lots and exterior school perimeter areas once during July 2018–April 2019 to collect all e-cigarette product waste, combustible tobacco product waste, and cannabis product waste found on the ground. Overall, 893 waste items were collected, including 172 e-cigarette product waste items . Almost all Juul or Juul-compatible pods and caps were found at schools with predominantly middle- and upper-income student populations. Among 74 Juul or Juul-compatible color-coded flavor caps, 73 were from flavored pods other than tobacco flavor. Overall, 47 pod caps were from mintflavored and other menthol-flavored pods. Additional scans were conducted at one upper-income area school beginning 3 months after Juul Laboratories announced it was removing flavors from retail distribution. These additional scans yielded 127 mint, 20 mango, four fruit Juul or Juul-compatible pod caps, and three yellow Juul-compatible caps. At four high schools with populations composed predominantly of lower-income African-American and Latino students, eight e-cigarette product waste items were collected, in addition to 71 little cigar or cigarillo plastic wrappers and mouthpieces, 94% of which were from flavored products.Across all schools, 620 cigarette butts were collected, including 403 from recently smoked cigarettes that were identifiable. Among these, 168 were menthol.

At low, middle, and upper-income schools, identifiable menthol butts accounted for 60%, 38%, and 28%, respectively, of all identifiable cigarette butts. Fourteen cannabis product waste items were found, including vaporizer pens, cartridges, and packaging from high-potency pineapple- and lemon-flavored cannabis oil concentrate vaporizer cartridges. E-cigarette waste and combustible tobacco product waste contaminate the Bay Area high schools studied and confirm use of these products by high school students. Cannabis product waste represents an emerging issue. The large proportions of flavored products identified in this study are consistent with findings from other studies showing high prevalence rates of flavored e-cigarette and combustible tobacco product use among U.S. youths. Further research and actions at national, state, and community levels are needed to inform policy making to reduce youth access to and use of tobacco products, including e-cigarettes, and cannabis products. Youth use of flavored tobacco products, including mint and all other mentholated flavors, is of particular concern. Likewise, measures are needed to eliminate environmental contamination from e-cigarette, combustible tobacco product, and cannabis product waste in and around schools. Schools can engage students in garbology projects to identify existing and new use of these products and to raise awareness about their hazardous health and environmental impacts.As the legalization of cannabis becomes prevalent in the United States, effects from its abuse will result in an increase in emergency department visits.1 We have witnessed a growing trend in our community ED among adolescents abusing a highly potent form of marijuana, butane hash oil . BHO is a concentrated form of tetrahydrocannabinol that is created by using liquid butane as a solvent to extract THC from marijuana plants. As butane is highly flammable, reports of burns and explosions have been reported from the synthesis and use of BHO. A popular trend called “dabbing” involves heating the concentrated oil and inhaling the resultant vapors. These vapors contain very high concentrations of THC, as high as 90% pure. Adolescents may use e-cigarette devices to abuse BHO as a delivery device. Such devices are easily concealed and produce almost no odor, thus leading to the potential for abuse at school and in the home.2,3 Previous case reports have shown BHO abuse may lead to agitation along with neurotoxicity and cardiotoxicity.Since THC may activate serotonin receptors and inhibit serotonin reuptake, its abuse in high concentrations may mimic serotonin syndrome.We present two cases of adolescents with recent “dabbing” use who exhibited signs and symptoms of serotonin syndrome.A 17-year-old female presented to a large community ED by emergency medical services from her home for CoxHealth System, Department of Emergency Medicine, Springfield, Missouri CoxHealth System, Department of Pharmacy, Springfield, Missouri a possible seizure. EMS providers had witnessed agitation, altered mental status, tachycardia, muscle stiffness and tremors in the limbs, and administered 10 milligrams of midazolam intranasally. History was obtained from the EMS providers and the patient’s parents who were present in the room. The patient had been taking sertraline 50 mg daily and had also been prescribed a short course of cyclobenzaprine 5 mg every eight hours, as needed, for “muscle aches.” According to the parents, the patient had taken “a few” but stopped the cyclobenzaprine as it was not effective.