How does state marijuana policy affect US youth? Medical marijuana laws, marijuana use and perceived harmfulness: 1991-2014

Independent and concurrent cannabis use with alcohol, cigarettes, and other substances among college students: Rates and consequences

Objective: The purpose of this study was to examine patterns of concurrent cannabis and other substance use and their differential associations with cannabis-related problems and academic outcomes in college students. Participants: Participants were undergraduate students (N = 263; M age = 19.1 years; 61.2% female) who were eligible if they used cannabis at least 3 days in the past month (M = 10.1 days). Method: Substance use, academic-related outcomes, and measures of Cannabis Use Disorder (CUD) severity and problems were obtained in an online survey. Results: The five groups evaluated were cannabis-only users (5.3%), cannabis and alcohol (47.1%), cannabis, alcohol and cigarettes (16.7%), cannabis, alcohol and other substances (14.8%), or all-substances (16%). Cannabis-only and all-substance users reported using cannabis most frequently (ps ≤ .034), but only the latter reported greater CUD severity, problems, and poorer academic outcomes. Discussion: College student polysubstance users may be at increased risk for poorer outcomes compared to cannabis-only users and other groups.

Systematic Review and Meta-Analysis: Medical and Recreational Cannabis Legalization and Cannabis Use Among Youth in the United States

OBJECTIVE

Dramatic changes in state-level cannabis laws (CL) over the past 25 years have shifted societal beliefs throughout the United States, with unknown implications for youth. In the present study, we conducted an updated systematic review and meta-analysis examining estimated effects of medical cannabis legalization (MCL) and recreational cannabis legalization (RCL) on past-month cannabis use among US youth.

METHOD

A systematic review was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, followed by a subsequent meta-analysis investigating the associations between state-level cannabis laws (ie, MCL vs non-MCL, and RCL vs non-RCL) and past-month cannabis use prevalence among US adolescents and young adults. Supplemental analyses examined age-group effects and design-related factors.

RESULTS

Our search identified 4,604 citations, 34 and 30 of which were included in qualitative and quantitative analyses, respectively. Meta-analysis of MCL studies identified no significant association between MCL and change in past-month youth cannabis use (odds ratio [OR] = 0.981, 95% CI = 0.960, 1.003). Meta-analysis of RCL studies showed significantly increased odds of past-month cannabis use (OR = 1.134, 95% CI = 1.116-1.153). Meta-analysis of more recent studies, however, showed a significantly increased odds of past-month cannabis use among both adolescents and young adults (OR = 1.089, 95% CI = 1.015,1.169, and OR = 1.221, 95% CI = 1.188,1.255, respectively).

CONCLUSION

Cannabis legalization has complex and heterogenous effects on youth use that may differ across law types. Our meta-analytic results showed modest positive effects of RCL on past-month cannabis use (more so in young adults than in adolescents) and minimal effects of MCL on these outcomes in US youth. Given the shift toward recreational legalization, additional focus on RCL effects is warranted.

Adolescents' Cannabis Knowledge and Risk Perception: A Systematic Review

To systematically review evidence evaluating cannabis-related knowledge and perception of risk in children and adolescents. We systematically searched Medline, PsycINFO, and EMBASE using Preferred Reporting Items for Systematic Reviews and Meta-Analyses methodology. 133 studies from around the world (including ages 10-18 yrs) met inclusion criteria, with 70% meeting grade 2C quality. Increased knowledge and perception of risk of cannabis frequently correlated with lower levels of current use and intent to use. Studies examining correlations over time generally demonstrated increased adolescent cannabis use and decreased perception of risk. Included prevention-based interventions often enhanced knowledge and/or perception of risk in adolescents exposed to the intervention. Studies exploring outcomes relating to legislative changes for recreational marijuana use demonstrated considerable heterogeneity regarding knowledge and perception of risk whereas studies that focused on medicinal marijuana legislative changes overwhelmingly demonstrated a decrease in perception of risk post legalization. Increased knowledge and perception of risk of cannabis in adolescents often correlate with lower levels of current use and intention to use in the future. Further study and implementation of public health and clinically-oriented strategies that seek to increase knowledge among youth about the potential health harms of cannabis use should continue and be prioritized.

Substance Use and Educational Impacts in Youth With and Without Chronic Illness

INTRODUCTION

Alcohol, cannabis, and nicotine are commonly used psychoactive substances that affect adolescent neurocognition. Little is known about the educational impacts of their use on measures of educational performance, participation and problems, especially among youth with a chronic illness who may use these substances to alleviate stress and symptoms.

METHODS

Adolescents receiving general or subspecialty care were administered an electronic survey from 2016 to 2018. Data were analyzed in 2023. Using modified Poisson models, cross-sectional associations between past 12-month usage of alcohol, cannabis, and/or nicotine and educational impacts were estimated.

RESULTS

Among 958 adolescents (mean age 16.0 years (SD 1.3), 564 (58.9%) female gender, 445 (46.5%) in subspecialty care), 294 (30.7%), 220 (23.0%), and 126 (13.2%) reported past 12-month use of alcohol, cannabis, and nicotine respectively, while 407 (42.5%) reported ≥1 educational impact, including recent lower grades 210 (21.9%), past 3-month truancy from school 164 (17.1%) or activities 170 (17.7%), and detention 82 (8.6%). Use of cannabis, but not other substances, was associated with negative educational impacts: lower grades (mostly C's/D's/F's), adjusted prevalence ratios [APR, (95% CI)] 1.54 (1.13-2.11); past 3-month truancy from school [2.16 (1.52-3.07)]; detention [2.29 (1.33-3.94)]. The association between cannabis use and any negative educational impact was stronger among adolescents with a chronic illness (p<0.001).

CONCLUSIONS

Among adolescents, cannabis use was associated with a heightened risk of negative educational impacts, even after controlling for alcohol and nicotine use. Adolescents with chronic illness were especially likely to experience negative educational impacts. Findings underscore need for preventive interventions and messaging to reduce risks.

State-Level Recreational Cannabis Legalization Is Not Differentially Associated with Cannabis Risk Perception Among Children: A Multilevel Regression Analysis

Introduction: As more states pass recreational cannabis laws (RCLs) for adults, there is concern that increasing (and state-sanctioned) cannabis acceptance will result in a reduced perception of risk of harm from cannabis among children. We aimed to discover whether children in states with RCLs had decreased perception of risk from cannabis compared with children in states with illicit cannabis. Methods: We analyzed data from the multisite multistate Adolescent Brain and Cognitive Development Study to determine how the perception of cannabis harm among children (age at baseline: 9-10; N=10,395) changes over time in states with and without RCLs. Using multilevel modeling, we assessed survey responses from children longitudinally across 3 years, adjusting for state-, family-, and participant-level clustering and child-level factors, including demographics (sex, race, and socioeconomic status), religiosity, and trait impulsivity. Results: There was no significant main effect of state RCLs on perceived risk of cannabis use, and no differences in change over time by state RCLs, even after controlling for demographic factors and other risk (e.g., impulsivity) and protective (e.g., religiosity) factors. Conclusions: This analysis indicates that state-level RCLs are not associated with differential perception of cannabis risk among children, even after controlling for demographics, trait impulsivity, and religiosity. Future studies could assess how perception of risk from cannabis changes as children and adolescents continue to mature in states with and without RCLs.

The effect of marijuana use in adolescence on college and graduate degree attainment

We estimate the long-term effect of using marijuana in adolescence on college and graduate degree attainment measured approximately 20 years later. We rely on the first two waves (1994-1996) and the fifth wave (2016-2018) of the National Longitudinal Study of Adolescent to Adult Health and estimate instrumental variables models that exploit the network structure at the second degree by using marijuana use status of friends of friends who are not themselves friends of the respondent in order to instrument for the respondent's marijuana use. Our models also include school and grade fixed effects. Marijuana use in adolescence leads to a large reduction in the likelihood of college and graduate degree attainment by the time respondents are aged 33-43 years old.

Health, safety, and socioeconomic impacts of cannabis liberalization laws: An evidence and gap map

Background

Globally, cannabis laws and regulations are rapidly changing. Countries are increasingly permitting access to cannabis under various decriminalization, medicalization, and legalization laws. With strong economic, public health, and social justice incentives driving these domestic cannabis policy reforms, liberalization trends are bound to continue. However, despite a large and growing body of interdisciplinary research addressing the policy-relevant health, safety, and socioeconomic consequences of cannabis liberalization, there is a lack of robust primary and systematic research that comprehensively investigates the consequences of these reforms.

Objectives

This evidence and gap map (EGM) summarizes the empirical evidence on cannabis liberalization policies. Primary objectives were to develop a conceptual framework linking cannabis liberalization policies to relevant outcomes, descriptively summarize the empirical evidence, and identify areas of evidence concentration and gaps.

Search Methods

We comprehensively searched for eligible English-language empirical studies published across 23 academic databases and 11 gray literature sources through August 2020. Additions to the pool of potentially eligible studies from supplemental sources were made through November 2020.

Selection Criteria

The conceptual framework for this EGM draws upon a legal epidemiological perspective highlighting the causal effects of law and policy on population-level outcomes. Eligible interventions include policies that create or expand access to a legal or decriminalized supply of cannabis: comprehensive medical cannabis laws (MCLs), limited medical cannabidiol laws (CBDLs), recreational cannabis laws (RCLs), industrial hemp laws (IHLs), and decriminalization of cultivations laws (DCLs). Eligible outcomes include intermediate responses (i.e., attitudes/behaviors and markets/environments) and longer-term consequences (health, safety, and socioeconomic outcomes) of these laws.

Data Collection and Analysis

Both dual screening and dual data extraction were performed with third person deconfliction. Primary studies were appraised using the Maryland Scientific Methods Scale and systematic reviews were assessed using AMSTAR 2.

Main Results

The EGM includes 447 studies, comprising 438 primary studies and nine systematic reviews. Most research derives from the United States, with little research from other countries. By far, most cannabis liberalization research focuses on the effects of MCLs and RCLs. Studies targeting other laws-including CBDLs, IHLs, and DCLs-are relatively rare. Of the 113 distinct outcomes we documented, cannabis use was the single most frequently investigated. More than half these outcomes were addressed by three or fewer studies, highlighting substantial evidence gaps in the literature. The systematic evidence base is relatively small, comprising just seven completed reviews on cannabis use (3), opioid-related harms (3), and alcohol-related outcomes (1). Moreover, we have limited confidence in the reviews, as five were appraised as minimal quality and two as low quality.

Authors’ Conclusions

More primary and systematic research is needed to better understand the effects of cannabis liberalization laws on longer-term-and arguably more salient-health, safety, and socioeconomic outcomes. Since most research concerns MCLs and RCLs, there is a critical need for research on the societal impacts of industrial hemp production, medical CBD products, and decriminalized cannabis cultivation. Future research should also prioritize understanding the heterogeneous effects of these laws given differences in specific provisions and implementation across jurisdictions.

A digital health game to prevent opioid misuse and promote mental health in adolescents in school-based health settings: Protocol for the PlaySmart game randomized controlled trial

Adolescents who engage in non-opioid substance misuse and/or experience mental health symptoms are at greater risk of misusing opioids and/or developing opioid use disorder. Adolescence is a critical developmental period to both prevent the initiation of opioid misuse and target mental health. To date, there are no digital health games targeting both conditions. We describe the protocol for a randomized controlled trial designed to assess the efficacy of an original digital health game, PlaySmart. Five hundred and thirty-two adolescents aged 16-19 years old, who are at greater risk for initiating opioid misuse are recruited from 10 Connecticut school-based health sites. Participants are randomized to PlaySmart or a set of time/attention control videogames. Randomization was stratified by sex at birth and school grade. Participants play their assigned game or games for up to six weeks (300 minutes) and complete assessment questions over a 12-month period (baseline, post-gameplay, 3, 6, and 12 months). The primary outcome is perception of risk of harm of opioid misuse at 3 months. Secondary outcome measures specific to opioid misuse include intentions, self-efficacy, attitudes, knowledge, and perceived norms. Mental health outcomes include measures of depression (Patient Health Questionnaire-8), anxiety (Generalized Anxiety Disorder-7), help-seeking behaviors, stigma, measures of self-regulation, self-efficacy to seek professional help for mental health, and knowledge around coping skills. PlaySmart has the potential to significantly reduce the risk of initiation of opioid misuse, improve mental health outcomes, and given its high levels of engagement and accessibility, holds the promise for extensive reach, scale, and impact for adolescents. Trial registration: ClinicalTrials.gov: NCT04941950. Registered on 23 June 2021.

Understanding the differential effect of local socio-economic conditions on the relation between prescription opioid supply and drug overdose deaths in US counties

BACKGROUND AND AIMS

Both local socio-economic conditions and prescription opioid supply are associated with drug overdose deaths, which exhibit substantial geographical heterogeneity across the United States. We measured whether the associations of prescription opioid supply with drug overdose deaths vary by local socio-economic conditions.

DESIGN

Ecological county-level study, including 3109 US counties between 2006 and 2019 (n = 43 526 county-years) using annual mortality data.

SETTING

United States.

CASES

A total of 711 447 drug overdose deaths.

MEASUREMENTS

We modeled overdose counts using Bayesian hierarchical Poisson models, estimating associations between four types of drug overdose deaths (deaths involving any drugs, any opioid, prescription opioids only and heroin), prescription opioid supply and five socio-economic indicators: unemployment, poverty rate, income inequality, Rey index (components include mean household income, % high school graduates, % blue-collar workers and unemployment rate), and American human development index (HDI; an indicator of community wellbeing).

FINDINGS

Drug overdose deaths and all substance-specific overdose deaths were higher in counties with higher income inequality [adjusted odds ratios (aORs) = 1.09-1.13], Rey index (aORs = 1.15-1.21) and prescription opioid supply (aORs = 1.14-1.21), and lower in counties with higher HDI scores (aORs = 0.75-0.92). Poverty rate, income inequality and HDI scores were found to modify the effect of prescription opioid supply on heroin overdose deaths. The plot of the interactions showed that when disadvantage is high, increasing prescription opioid supply does not increase heroin overdose deaths. The less disadvantage there is, indicated by lower poverty rates, higher HDI scores and lower income inequality, the greater the effect of increasing prescription opioid supply relative to population size on heroin overdose deaths in US counties.

CONCLUSIONS

In the United States, prescription opioid supply is associated with higher drug overdose deaths; associations are stronger in counties with less disadvantage and less income inequality, but only for heroin overdose deaths.

Comparing National College Health Assessment with other surveys of cannabis use and binge drinking among young adult college students 2008-2018

Objective: We considered the utility of National College Health Assessment (NCHA) data relative to other national data for studying college students' cannabis use and binge drinking, and drug policy effects. Participants: Survey data on 18-22-year old college students were drawn from the 2008-2018 NCHA, National Survey on Drug Use and Health (NSDUH), Monitoring the Future (MTF), and Healthy Minds Study (HMS). Methods: Prevalence estimates were compared across data sources in terms of level and change from 2008-2018 using linear regressions, separately for men and women. Results: Mean prevalence estimates for 30-day cannabis use and 2-week binge drinking, and linear time trends did not differ significantly among NCHA, NSDUH, and MTF. Conclusions: NCHA prevalence estimates are similar to those from NSDUH and MTF, NCHA has unique strengths, and some weaknesses can be offset. Findings support the value of NCHA for studying college students' substance use and effects of drug policy.

Recreational marijuana laws and the misuse of prescription opioids: Evidence from National Survey on Drug Use and Health microdata

Several studies have concluded that legalizing medical marijuana can reduce deaths from opioid overdoses. Drawing on micro data from the National Survey on Drug Use and Health, a survey uniquely suited to assessing patterns of substance use, we examine the relationship between recreational marijuana laws (RMLs) and the misuse of prescription opioids. Using a standard difference-in-differences (DD) regression model, we find that RML adoption reduces the likelihood of frequently misusing prescription opioids such as OxyContin, Percocet, and Vicodin. However, using a two-stage procedure designed to account for staggered treatment and dynamic effects, the DD estimate of relationship between RML adoption and the likelihood of frequently misusing prescription opioids becomes positive. Although event study estimates suggest that RML adoption leads to a decrease in the frequency of prescription opioid abuse, this effect appears to dissipate after only 2 or 3 years.

Long-Term Impact of Medical Marijuana Laws on the Burden of Cannabis Use Disorders in US Male and Female Adolescents and Young Adults

Deregulation of cannabis use has raised concerns regarding its potential effects on health, particularly in adolescents and young adults. Here, we extracted data from the Global Burden of Disease database to estimate the long-term effect (> 5 years) of medical marijuana laws (MML) on 2019 cannabis use disorders Disability Adjusted Life Years (2019 CUD DALYs) in US male and female adolescents (15-19 years old) and young adults (20-24 years old). Socio-cultural, demographic and economic characteristics were used as baseline covariates. To improve the robustness of estimation, we took advantage of machine learning techniques. We found no significant effect of MML on 2019 CUD DALYS in each of our four age/sex groups. Estimates from a marginal structural model taking into account age and sex strata in the same model were also non-significant. Our findings suggest that MML may have a negligible effect (if any) on cannabis use disorders in this population group.

Ecological Momentary Assessment of Cannabis Use and Affect Among Adolescents Following Psychiatric Discharge

OBJECTIVE

Affect regulation is central to multiple theoretical models that explain cannabis use (CU) behavior. However, much of the research has been conducted with adults, leaving unanswered questions about the nature of associations among adolescents, especially those with affective disorders. Using clinical interviews and ecological momentary assessment (EMA), we assessed rates of adolescent CU and momentary associations with affect following psychiatric discharge among youth hospitalized for suicidal thoughts and behaviors.

METHOD

Participants were 13- to 18-year-olds (N = 62; 64.5% female) recruited from an inpatient psychiatric hospital who reported having ever used cannabis. Participants completed clinical interviews during hospitalization. EMA was conducted for 21 days upon discharge.

RESULTS

Concurrent use of other drugs was associated with greater odds of CU (odds ratio = 27.63). Momentary CU was associated with higher levels of positive affect and lower levels of anger/irritability, but not with negative affect. The effect of momentary CU on positive affect was greater among youth with a diagnosis of posttraumatic stress disorder (PTSD) or generalized anxiety disorder (GAD).

CONCLUSIONS

Findings suggest that adolescents may use cannabis to enhance positive emotion, especially those with PTSD/GAD. Results highlight the importance of tailored interventions that focus on providing alternative and adaptive methods to enhance positive affect.

Cannabinoid Poisoning-Related Emergency Department Visits and Inpatient Hospitalizations in Kentucky, 2017 to 2019

Background and objectives: Cannabis is the most used federally illicit substance. Due to widespread medicinal use and state-level legalization, public perceptions of cannabis have shifted toward the assumption that cannabis is safe. However, cannabinoids can cause adverse medical complications that may lead people to seek treatment. This study characterized cannabinoid poisoning-related medical encounters, poisoning involving cannabinoids and other psychoactive substances, and cannabinoid poisoning-related cardiac complications. Methods: Administrative billing data for emergency department visits and inpatient hospitalizations in acute care facilities with a discharge date from January 1, 2017 to December 31, 2019 were used to characterize cannabinoid poisoning events in Kentucky, identified by ICD-10-CM diagnosis code T40.7X. Results: There were 1,490 encounters of cannabinoid poisoning; patients were primarily non-Hispanic White males, ages 15-44, who had Medicaid and lived in a metropolitan area. Of those, 31.21% involved poisoning with a second psychoactive substance, primarily stimulants and/or opioids, and 17.72% experienced a cardiac complication. Cannabinoid-polydrug poisoning was associated with inpatient treatment (χ2=199.18, p < 0.001) and cardiac complications (χ2=4.58, p < 0.001). Discussion and Conclusions: These results are consistent with other state-level data. Patients who were diagnosed with cannabis-polydrug poisoning, compared to cannabis alone poisoning, had greater odds of hospital admission and cardiac complications, and longer length of hospital stays. Scientific Significance: The health risks of cannabinoid use must be more broadly recognized, while timely and accurate data need to be shared to guide policies on cannabis access. Future research on cannabinoid poisoning should consider the involvement of other psychoactive drugs.

The Influence of Risk and Protective Factors on Adolescent Alcohol, Cannabis, and Electronic Cigarette Use

The misuse of substances by adolescents is a serious public health concern in the United States, and the three most used substances by adolescents are alcohol, cannabis, and electronic cigarettes. In accordance with the Social Development Model, a better understanding of the risk and protective factors across these three substances can assist in predicting potential substance use as well as strategies for prevention. The purpose of the current study is to examine the similar or differential influence that a specific set of risk and protective factors (i.e., favorable attitudes toward substance use, perceived risk of harm, peer substance use, interaction with prosocial peers, parental favorable attitudes toward substance use, family management, perceived availability substances, and rewards for prosocial involvement) have on past 30-day alcohol, cannabis, and e-cigarette use by adolescents. The present study is based on a secondary data analysis of the 2019 Prevention Needs Assessment Survey, which is administered every two years in the State of Utah to a large sample of students in grades 6, 8, 10, and 12 grades. A subsample of students (n = 44,728) was included in the present analysis. Logistic regression was used to examine the predictive relation for the set of four risk and four protective factors on past 30-day use of alcohol, cannabis, and e-cigarette use. In general, the results indicated that endorsement of the four risk factors predicted increases in the use of each substance whereas endorsement of the four protective factors predicted decreases in use. Implications of these findings suggest that there may be more similarities in risk and protective factors across alcohol, cannabis, and electronic cigarettes than between them. In addition, this study adds to the budding literature on the risk and protective factors associated with adolescent e-cigarette use.

Adolescent and adult time trends in US hallucinogen use, 2002-19: any use, and use of ecstasy, LSD and PCP

BACKGROUND AND AIMS

Hallucinogen use is potentially harmful. Information on whether such use has increased in recent decades is lacking. This study assessed overall and age-specific time trends in the prevalence of 12-month hallucinogen use in the US general population.

DESIGN

Cross-sectional.

SETTING

Data from the US National Survey on Drug Use and Health, 2002-19.

PARTICIPANTS

Respondents aged ≥ 12 years (n = 1 006 051).

MEASUREMENTS

Predictors were continuous years. Outcome variables included any hallucinogen use and use of lysergic acid diethylamide (LSD), ecstasy and phencyclidine (PCP) in the past year. Socio-demographic variables (gender, age, race/ethnicity, educational level and family income) were covariates.

FINDINGS

Overall, hallucinogen use increased between 2015 and 2019 [prevalence difference (PD) = +0.44, P < 0.05]. Since 2002, hallucinogen use has increased in adults aged ≥ 26 years (PD, 2002-14 = +0.24, P < 0.05; PD, 2015-19 = +0.45, P < 0.001) and decreased in adolescents aged 12-17 years (PD, 2002-14 = -1.60, P < 0.0001; PD, 2015-19 = -0.73, P < 0.001). Ecstasy use has decreased in adolescents (PD, 2002-14 = -0.56, P < 0.001), adults aged 18-25 years (PD, 2015-19 = -0.96, P < 0.01) and ≥ 26 years (PD, 2015-19 = -0.13, P < 0.05). LSD use between 2002 and 2019 increased overall (PD = +0.71, P < 0.0001) and in all age groups (12-17: PD = +0.67, P < 0.001; 18-25: PD = +3.12, P < 0.0001; ≥ 26: PD = +0.36, P < 0.0001). Conversely, PCP use between 2002 and 2019 decreased overall (PD = -0.06, P < 0.001), in adolescents (PD = -0.24, P < 0.001) and young adults (PD = -0.32, P < 0.0001).

CONCLUSIONS

Since 2002, hallucinogen use in the United States has decreased among adolescents but increased in adults and is now estimated to affect more than 3 million adults aged 26+ years and more than 5.5 million adults aged 18+ years.

The influence of parent and peer disapproval on youth marijuana use mediated by youth risk perception: Focusing on the state comparison

BACKGROUND

The prevention of youth marijuana use has become a national priority in the United States. This study examined the influence of parent and peer disapproval on youth marijuana use, mediated by youth risk perception. Because the legal status of marijuana use can influence individual perceptions of the drug, this study investigated differences in the mediating mechanism between youth living in states with medical marijuana legalization (MML) and those living in non-MML states.

METHODS

The 2019 National Survey of Drug Use and Health was used with a youth population aged 12-17 years (N = 2293). Structural equation modeling and bias-corrected bootstrapping were used to examine hypothesized path models and to evaluate the mediating effect of youth risk perception.

RESULT

Findings demonstrated that parent and peer disapproval significantly increased youth risk perception of marijuana and reduced youth marijuana use. Second, youth risk perception significantly mediated the association between parent and peer disapproval and youth marijuana use. Third, parent disapproval had a more significant direct effect on youth marijuana use, while peer disapproval had a more significant indirect effect on youth marijuana use via youth risk perception. Finally, the results showed a similar pattern in the mechanism between youths living in MML states compared with those in non-MML states in terms of significance and direction.

CONCLUSION

The findings suggested a need for improvements in marijuana related policies for both MML and non-MML states. Moreover, parent and peer focused strategies for education and prevention concerning marijuana use among youth are emphasized.

In harm's way: Do college students' beliefs about cannabis put them at risk for use?

Objective: This study describes beliefs held by college students about cannabis use and examines the association between three specific cannabis beliefs and likelihood of use. Participants: 3,720 undergraduate students ages 18 to 25 attending ten colleges in one state. Methods: Data were gathered via online survey. Results: The majority (80%) of the sample was unsure or believed that cannabis was an effective way to reduce stress; 67% were unsure or believed that cannabis was not related to an increased risk for mental health problems; and 62% were unsure or believed that students who use cannabis are not more academically disengaged. Holding these beliefs, which are not supported by scientific evidence, was associated with a greater likelihood of cannabis use, even after statistically adjusting for covariates. Conclusions: These findings suggest that beliefs unsupported by scientific evidence are widespread among college students. Dispelling misinformation about cannabis might hold promise for reducing use.

Attitudes and Beliefs Toward Cannabis Before Recreational Legalization: A Cross-Sectional Study of Community Adults in Ontario

Objectives: To characterize attitudes and perceptions regarding risks and benefits of cannabis before Canadian legalization for recreational use, both in general and between cannabis users and nonusers. Methods: A cross-sectional sample of community adults assessed in the month before legalization (September 17 to October 17, 2018). Overall, 1,480 individuals (60% female) of an average age of 34.5 years (±13.92) were included in the analysis; 48% reported cannabis use in the past 6 months. Attitudes and perceptions were assessed using a subset of items from the Canadian Cannabis Survey, the National Survey on Drug Use and Health, and the Risks and Benefits of Cannabis Use. Results: Most commonly identified risks of cannabis were impaired memory (67%) and legal problems (54%). Most also identified addiction as a risk (52%), although 25% reported that cannabis was not addictive. The most commonly identified benefits were for pain relief (94%) and management of stress, anxiety, or depression (80%). Active cannabis users systematically reported lower endorsement of risks and higher endorsement of benefits. Only 6% of respondents anticipated increasing cannabis use postlegalization. Among other legal substances, medical cannabis was considered the most socially acceptable, followed by alcohol, recreational cannabis, electronic cigarettes, and then combustible cigarettes. Conclusion: Before legalization, attitudes toward cannabis in this sample of Canadian adults were generally favorable, particularly for medical cannabis. Perceptions of risk were often compatible with existing evidence, but notable proportions underendorsed risk of cannabis use disorder and overendorsed benefits for mental health. These results suggest priorities for public health messaging and provide benchmarks for understanding attitudinal changes postlegalization.

Classifying risky cannabis involvement in young adults using the Marijuana Consequences Questionnaire (MACQ)

BACKGROUND

Despite the growing prevalence of cannabis use and associated consequences among U.S. young adults, relatively little is known about precisely what level of marijuana involvement may be problematic.

METHOD

With this study we sought to identify empirically-derived cut-scores for the Marijuana Consequences Questionnaire (MACQ) that would distinguish among levels of cannabis risk in a sample of young adult college students (N = 496). We also examined how these levels of cannabis risk corresponded to a variety of indicators of cannabis involvement, including frequency of use, intoxication, other measures of cannabis consequences, and indicators of more severe cannabis involvement (e.g., physiological dependence, loss of control over use, cannabis use disorder).

RESULTS

Receiver operating characteristic analyses yielded cutoffs that distinguished among three distinct levels of risk, "Low", "Moderate", and "High". These empirically derived cut scores showed strong overall differentiation among classifications, with good sensitivity and specificity. MACQ-based risk levels were validated across several indices of cannabis involvement. Cutoffs differed across genders.

CONCLUSIONS

Findings offer a new application for the MACQ, allowing for the identification of those at greatest risk. As such, this measure may be used to facilitate appropriately targeted intervention.

Predictors of Medical Students’ Perceptions About Medical Cannabis

Background: There has been a recent uptick in interest regarding the therapeutic properties of cannabis. Evidence exists to support the role of medical cannabis (MC) in chronic illness management for conditions such as posttraumatic stress, pain, and cancer. The majority of physicians in the United States report not knowing how to prescribe or answer questions about MC and receive minimal education about it during training. As MC becomes more socially acceptable with federal legalization in process, new physicians will encounter patients looking for information on the utility and safety of MC. The goal of this research was thus to assess the perceived knowledge, beliefs, and perceptions of medical students towards MC, and to obtain a better understanding of factors that may influence their attitudes.

Methods: A descriptive, cross-sectional study design was used to investigate the medical students’ knowledge, attitudes, and perceptions regarding MC. Quantitative data were collected from 526 medical students (years one to four) via an anonymous, online, 32-item questionnaire to determine if perceived knowledge, concerns about the potential negative effects of cannabis, and certain beliefs would significantly contribute to their attitudes toward MC. Hypothesis testing was conducted using Spearman-rank order correlation and multivariate linear regression analyses.

Results: A statistically significant regression equation was found: (F(4, 428)=114.826, p<.001 with an R²=0.518 [adjusted R² =0.513]) indicating greater perception of knowledge about MC, lower concern for possible negative effects of MC use, greater belief in federal legalization of MC, and greater belief in the federal legalization of recreational cannabis significantly contributed to a higher score on positive attitudes and perceptions toward MC. Moreover, while many participants reported physicians should be able to prescribe MC, they reported that little if any MC education had been provided.

Conclusions: This study identified the knowledge, concerns, and perceptions of medical students regarding MC as well as several factors contributing to their attitudes about it. Favorable attitudes toward MC among patients exist and as its popularity and acceptance among patients continue, more may be asking their physicians about symptomatic and curative treatment with cannabis-based products. Results from this research have the potential to assist medical educators in understanding students’ perceptions about MC to help guide innovative and contemporary curricular advances as a public health imperative.

Marijuana Policy Bundles in the American States Over Time and Their Impact on the Use of Marijuana and Other Drugs

American states have used different approaches in adoption of cannabis policies and continue to modify those policies after approval. States also differ in how long it takes to implement such policies, and this influences the availability of legal marijuana. Such policy differences and implementation timelines could influence usage of marijuana and other illicit drugs by adolescents, young adults, and older adults. We develop an original coding scheme for marijuana legalization policies by classifying policy bundles characterized by three views of marijuana: as a pharmaceutical; as a permissive drug, or as a state fiscal revenue source. We test the impact of state legal marijuana policy characteristics on age group rates of marijuana use with panel regression models including control variables and fixed effects for 2000-2019. This design moves beyond a dichotomous construct of marijuana legalization and accounts for the dynamic adaptation of policies beyond their initial adoption. States with a higher pharmaceutical score experienced lower marijuana usage rates for adolescents and young adults while states with a permissive approach or fiscal approach experienced higher rates of marijuana use for all age groups. We find no consistent spillover effect of the pharmaceutical or permissive marijuana policy bundles on other illicit drug use for any age group, but fiscal bundles show some association with greater illicit drug use for adults. These more nuanced measures better reflect state policies as implemented and provide more clarity of the policy impact on target populations' marijuana usage.

Perceptions of the health risks of cannabis: estimates from national surveys in Canada and the United States, 2018-2019

Few studies have compared knowledge of the specific health risks of cannabis across jurisdictions. This study aimed to examine perceptions of the health risks of cannabis in Canada and US states with and without legal non-medical cannabis. Cross-sectional data were collected from the 2018 and 2019 International Cannabis Policy Study online surveys. Respondents aged 16-65 (n = 72 459) were recruited from Nielsen panels using non-probability methods. Respondents completed questions on nine health effects of cannabis (including two 'false' control items). Socio-demographic data were collected. Regression models tested differences in outcomes between jurisdictions and by frequency of cannabis use, adjusting for socio-demographic factors. Across jurisdictions, agreement with statements on the health risks of cannabis was highest for questions on driving after cannabis use (66-80%), use during pregnancy/breastfeeding (61-71%) and addiction (51-62%) and lowest for risk of psychosis and schizophrenia (23-37%). Additionally, 12-18% and 6-7% of respondents agreed with the 'false' assertions that cannabis could cure/prevent cancer and cause diabetes, respectively. Health knowledge was highest among Canadian respondents, followed by US states that had legalized non-medical cannabis and lowest in states that had not legalized non-medical cannabis (P < 0.001). Overall, the findings demonstrate a substantial deficit in knowledge of the health risks of cannabis, particularly among frequent consumers.

Polydrug Use and Dating Violence Among Emerging Adults

We examined sociodemographic and psychosocial risk factors that moderate the (poly) substance use and dating violence victimization and perpetration relationship among emerging adults. Using an ethnically diverse sample (N = 698), we used latent class analyses to identify mutually exclusive groups based on monthly and past-year substance use. We then examined these groups as they relate to dating violence victimization and perpetration and the moderating effect of various risk factors. Five classes were identified based on substance use patterns: (a) Regular Alcohol use, (b) Polysubstance use, (c) Heavy Alcohol and Marijuana use, (d) Mild Alcohol use, and (e) Occasional Alcohol and Marijuana use classes. Participants in the Polysubstance use class were the most likely to perpetrate dating violence followed by Heavy Alcohol and Marijuana use, Occasional Alcohol and Marijuana use, Regular Alcohol, and Mild Alcohol use classes. Similarly, participants in the Polysubstance use class were the most likely to be victims of dating violence followed by Occasional Alcohol and Marijuana, Heavy Alcohol and Marijuana, Regular Alcohol, and Mild Alcohol use classes. Depending on substance use class, gender, ethnicity, socioeconomic status, history of dating violence, and trauma symptoms differentially influenced dating violence perpetration and victimization at 1-year follow-up. Our findings support the need to comprehensively address dating violence among emerging adults. Intimate partner violence prevention and intervention programs may benefit from targeting emerging adults who misuse substances and incorporating substance use interventions into dating violence prevention efforts.

Marijuana use and intentions among American Indian adolescents: Perceived risks, benefits, and peer use

OBJECTIVE

The present study examines how perceptions of peer use, risks of use, and benefits to oneself and others from marijuana use are associated with past-month marijuana use and intentions to use marijuana socially among American Indian (AI) youth.

METHOD

The American Drug and Alcohol Survey (ADAS), a measure of substance use and related factors, was administered to AI youth living on or near reservations across six geographic regions (n = 3,498, 49.5% female, M age = 14.8).

RESULTS

Greater perceived peer use was significantly associated with more frequent past-month marijuana use (b = .05, p = .038) and intentions to use marijuana socially (b = .74, p < .001). Greater benefits to oneself were associated with greater marijuana use intentions (b = .35, p < .001). Greater perceived risks and benefits to others were significantly associated with less frequent past-month use (b = -.02, p = .002; b = -.01, p = .007, respectively) and intentions to use marijuana socially (b = -.05, p = .001; b = -.03, p = .002, respectively). Multilevel moderation analyses revealed that the effects of perceived peer use and benefits to oneself were related to intentions to use although stronger for those who had used; however, the effects of perceived risks and benefits to others were only significantly related to intentions to use marijuana for those who had used marijuana.

CONCLUSIONS

Results suggest that perceived benefits to others and risks are malleable factors that may be effective components of treatment programs for youth who report lifetime marijuana use, but that perceived peer use and benefits to oneself may be useful in both treatment and prevention efforts for youth who have or have not used marijuana. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Societal Costs and Outcomes of Medical and Recreational Marijuana Policies in the United States: A Systematic Review

Significant support exists in the United States for legalization of marijuana/cannabis. As of 2021, 36 states and four territories approved the legalization of medical cannabis via medical marijuana laws (MMLs), and 15 states and District of Columbia (DC) have adopted recreational marijuana laws (RMLs). We performed structured and systematic searches of articles published from 2010 through September 2021. We assess the literature pertaining to adolescent marijuana use; opioid use and opioid-related outcomes; alcohol use; tobacco use; illicit and other drug use; marijuana growing and cultivation; employment, earnings, and other workplace outcomes; academic achievement and performance; criminal activity; perceived harmfulness; traffic and road safety; and suicide and sexual activity. Overall, 113 articles satisfied our inclusion criteria. Except for opioids, studies on use of other substances (illicit drugs, tobacco, and alcohol) were inconclusive. MMLs and RMLs do not generate negative outcomes in the labor market, lead to greater criminal activity, or reduce traffic and road safety.

Identifying archetypal cannabis consumers to inform drug policy design: a Q-sort assessment of young adults' attitudes in Mexico City's metropolitan area

Background

As the legalization of cannabis moves forward in many countries, it is important to highlight the potential harm that excessive use can cause on young consumers. Crafting effective policy interventions to reduce the harm stemming from excessive use requires an understanding of the attitudes and motivations of young consumers.

Methods

This article uses Q methodology to study four aspects of cannabis use among young adults from Mexico City’s metropolitan area: motivations for use, perceived consequences of use, reasons that would increase willingness to reduce consumption, and attitudes towards government regulation. A total of 110 cannabis users between 18 and 21 years old were recruited using chain-referral sampling. Using a Q methodology, we captured the relative importance that participants assigned to a series of statements and identified archetypal profiles of young adults who use cannabis for each of the four aspects mentioned above.

Results

The sample for this research study included 76 men and 34 women. The average age of participants was 20 years old, and the average age when cannabis consumption started was 15 years old. For each of the four Q-sort factor analyses, we identified 4 distinct factors based on explained variance and interpretability. The Q factor analysis indicated that attenuation of a negative affect (i.e., anxiety, stress) and relaxation were primary motivations for cannabis use. Understood consequences of cannabis use ranged across aspect-archetype, reflecting legal (i.e., interacting with law enforcement), financial, familial (i.e., disappointing family members), and educational performance concerns. Participants indicated that finding alternative relaxation strategies, receiving credible evidence of the health harms of cannabis use, increased financial burden of purchasing, and increased inaccessibility of cannabis products would motivate reductions in use. Across archetypes, participants indicated a willingness to comply with cannabis policies which are simple and easy to understand, which do not lead to discrimination or law enforcement involvement, and which provide for legal places to purchase and use safe (i.e., free of adulterants) cannabis products.

Conclusions

We posit that these archetypes could be useful to inform cannabis policy design. As the study reveals, participants’ cannabis use was primarily motivated by perceived improvements to mental health. Furthermore, participant responses indicated that they viewed cannabis use as a health matter, not a criminal one. Policies which aim to promote alternative mental health wellness and relaxation mechanisms, which aim to improve communication of potential health harms of cannabis, and which allow for the safe and legal purchase and use of cannabis may be effective in reducing cannabis-associated harms. Though our findings shed light on important aspects of cannabis users’ attitudes and perspectives, the sample size does not allow for a generalization of the findings and the drawing of conclusions about the population under scrutiny. Further research should consider the application of the Q methodology used in this article to a larger and more representative sample of cannabis users.

Supplementary Information

The online version contains supplementary material available at 10.1186/s42238-021-00107-8.

Trends in cannabis-related attitudes and behaviors among cannabis-using adolescent and young adult outpatients following medical cannabis legalization in Massachusetts

Background: Among youth already using cannabis, legalization of medical cannabis may influence cannabis-related attitudes and behaviors, including increasing access through use of someone else's medical cannabis (diversion). Objective: To examine cannabis-related attitudes and behaviors (including diverted cannabis use) in cannabis-using youth in the four years following medical cannabis legalization. Additionally, we investigated characteristics of youth who used vs. did not use diverted medical cannabis. Methods: Data were collected in Boston from 2013 (when medical cannabis legislation took effect in Massachusetts) through 2016 (when recreational cannabis use became legal in Massachusetts). Cannabis-using youth (age 13-24) presenting to an outpatient adolescent substance use treatment program (ASUTP) or recruited for an adolescent medicine clinic study (AMCS) completed a confidential survey on demographic characteristics and cannabis use behaviors and attitudes. We used multiple logistic regression to analyze changes in attitudes and behaviors over three years versus the reference year (2013), controlling for demographics. We used chi-square to compare characteristics of youth reporting use of diverted medical cannabis versus those not. Results: The sample included 273 cannabis-using youth (ASUTP n = 203, AMCS n = 70; 2013 n = 67, 2014 n = 67, 2015 n = 77, 2016 n = 62). Mean ± SD age was 18.2 ± 2.5 years, 32% were female, 58% were White non-Hispanic, and 70% had college-graduate parents. In 2013, most youth reported that cannabis was easy to obtain (97.9%), and that occasional cannabis use had "no" or "slight" risk of harm (89.4%), with little change across years. In 2016, 44% of youth reported using someone else's medical cannabis, versus 15% in 2013 (aOR 4.66, 95% CI 1.81, 11.95). Youth using diverted medical cannabis had higher likelihood of reporting riding with a driver, or driving themselves, after cannabis use (both p < .01). Conclusion: Among at-risk youth in Massachusetts, use of diverted medical cannabis increased after medical cannabis legalization, and those using diverted medical cannabis reported higher risk for cannabis-related traffic injury.

Medical Cannabis Laws and Adolescent Alcohol Use Initiation

Background

The effects of medical cannabis laws (MCLs) on adolescent alcohol use remains unclear. Previous literature investigates alcohol consumption rather than alcohol initiation among adolescents, and does not examine the effect by sociodemographic characteristics and state-level dispensary status. We used population representative, state-level data to examine the relationship between MCLs and adolescent alcohol initiation.

Methods

Data for this study were derived from the Youth Risk Behavior Survey (YRBS), a nationally representative, cross-sectional school-based survey administered by the Centers for Disease Control (CDC) in odd-numbered years from 1991 to 2015. We used a difference-in-difference model to assess pre and post effects of state MCL enactment on adolescent alcohol use initiation. Logistic regression analyses assessed associations between MCLs and varying ages of initiation. We further stratified our results by race/ethnicity, gender, and dispensary status.

Results

Results from adjusted logistic regression models showed higher odds of initiating alcohol among adolescents in states without MCLs when compared to adolescents in states with MCLs (OR 1.37, [95% CI = 1.29, 1.44]). This effect was consistent across age, race/ethnicity, and gender groups. Reductions in self-report of alcohol initiation were also consistently found in multiple age strata (9-10, 11-12, and 13-14), though this finding did not reach conventional levels of statistical detection in all race/ethnicities.

Conclusions

Our findings support a substitutive effect, suggesting that adolescents in states with MCLs, as opposed to states without MCLs, may substitute cannabis for alcohol. Considering the evolving landscape of medical cannabis laws and the proliferation of state-level legalization laws, further research into the effects of such policies, such as adult-use cannabis laws, is warranted to further elucidate their effects on adolescent substance use.

Associations between Local Jurisdiction Ordinances and Current Use of Cannabis Products in California Adolescents

PURPOSE

Cannabis use among adolescents may have detrimental effects and use among this age group is increasing. It is important to understand how expansion of laws permitting cannabis sales may impact adolescent use. Much of the current research has explored how state-level policy decisions may impact adolescents' use behaviors; however, there is a gap in the understanding of how differences in local jurisdictional policies may also influence underage cannabis use.Procedures: The present study cross-sectionally assesses local variation in cannabis policies to explore the potential effects of local policy on underage use behaviors. Data were collected from (N = 1,573) adolescents representing 120 different localities across California, collected as a part of Project Cal Teens. Linear regression models were used to assess associations between local jurisdiction's allowance of retail sale of cannabis for adult-use and past 30-day use of non-medical (adult use) cannabis and perceived access to cannabis products.

FINDINGS

Local policy allowing cannabis retail was associated with adolescents' significantly higher past 30-day use of cannabis (β = 0.25 95% CI = 0.08, 0.42) and perceived access (β = 0.60 95% CI = 0.27, 0.94).

CONCLUSIONS

Results highlight the impact of local cannabis policies on adolescent cannabis use and perception. Considering the effects of cannabis use on adolescent development, this is an important public health concern because 14 states have already legalized recreational retail sales and growing numbers of local jurisdictions are allowing the retail sale of recreational cannabis.

Adverse childhood experiences and adolescent nicotine and marijuana vaping: Findings from a statewide sample of Florida youth

A wealth of research links exposure to adverse childhood experiences (ACEs) with negative outcomes including nicotine and marijuana use. In addition, an emerging line of research has documented associations between exposure to ACEs and vaping activity in American adults and international samples of adolescents. Very limited research, however, has explored whether a history of ACEs is linked with adolescent nicotine and marijuana vaping activity in an American sample. This study addresses this gap in the literature by employing multinomial logistic regression to examine whether cumulative exposure to ACEs is associated with adolescent nicotine vaping, dual mode use of nicotine, marijuana vaping, and dual mode use of marijuana in a sample of Florida high school students. Our findings reveal that greater cumulative exposure to ACEs (up to 5 ACEs) in adolescents leads to an increase in the likelihood of vaping nicotine and marijuana. In addition, greater cumulative exposure to ACEs (up to 6 ACEs) leads to an increase in the likelihood of using nicotine and marijuana through multiple delivery modes.

Cannabis Vaping Among Youth and Young Adults: a Scoping Review

Purpose of Review

The purpose of this review was to describe the state-of-the-literature on research specific to cannabis vaping among youth and young adults.

Recent Findings

Out of 1801 records identified, a total of 202 articles met eligibility criteria for inclusion in this review. Most of this literature (46.0% of studies) was specific to the health effects of cannabis vaping, particularly EVALI (e-cigarette and vaping associated lung injury). Other research areas identified in the review included the etiology (24.3%) and epidemiology (24.8%) of cannabis vaping, in addition to articles on regulation (8.4%) and marketing (5.5%) of the same.

Summary

Cannabis vaping is increasingly common among youth and young adults and more prevalent is settings where recreational use for adults has been legalized. The literature documents a number of negative health effects of cannabis vaping for young people, along with risk factors and reasons for the same.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40429-022-00413-y.

Marijuana liberalization policies and perinatal health

We studied the effect of marijuana liberalization policies on perinatal health with a multiperiod difference-in-differences estimator that exploited variation in effective dates of medical marijuana laws (MML) and recreational marijuana laws (RML). We found that the proportion of maternal hospitalizations with marijuana use disorder increased by 23% (0.3 percentage points) in the first three years after RML implementation, with larger effects in states authorizing commercial sales of marijuana. This growth was accompanied by a 7% (0.4 percentage points) decline in tobacco use disorder hospitalizations, yielding a net zero effect over all substance use disorder hospitalizations. RMLs were not associated with statistically significant changes in newborn health. MMLs had no statistically significant effect on maternal substance use disorder hospitalizations nor on newborn health and fairly small effects could be ruled out. In absolute numbers, our findings implied modest or no adverse effects of marijuana liberalization policies on the array of perinatal outcomes considered.

A systematic review of medical students' and professionals' attitudes and knowledge regarding medical cannabis

Background

Recently, the renewed global interest in cannabis’ therapeutic properties has resulted in shifting attitudes and legislative policies worldwide. The aim of this systematic review is to explore the existing literature on medical professionals’ and students’ attitudes and knowledge regarding medicinal cannabis (MC) to assess any relevant and significant trends.

Methods

This systematic review was conducted in accordance with PRISMA guidelines. Using PubMed and Google Scholar, a literature search was performed to identify studies pertaining to healthcare professionals’ and medical students’ knowledge and attitudes regarding MC. There were no search limits on the year of publication; however, studies without primary data (e.g., abstracts, systematic reviews, meta-analyses) and non-English language papers were excluded. Studies were coded according to the following research questions: (1) Do respondents believe that cannabis should be legalized (for medicinal and/or recreational purposes)? (2) Are respondents confident in their level of knowledge regarding cannabis’ clinical applications? (3) Are respondents convinced of cannabis’ therapeutic potential? 4) What current gaps in knowledge exist, and how can the medical community become better informed about cannabis’ therapeutic uses? and (5) Are there significant differences between the knowledge and opinions of healthcare students versus healthcare professionals with respect to any of the aforementioned queries? Chi-square tests were used to assess differences between medical students and medical professionals, and Pearson’s bivariate correlations were used to analyze associations between survey responses and year of publication—as a proxy measurement to assess change over time.

Results

Out of the 741 items retrieved, 40 studies published between 1971 and 2019 were included in the final analyses. In an evaluation of 21 qualified studies (8016 respondents), 49.9% of all respondents favored legalization (SD = 25.7, range: 16–97%). A correlational analysis between the percentage of survey respondents who support MC legalization and year of publication suggests that both medical students’ and professionals’ support for MC legalization has increased from 1991 to 2019 (r(19) = .44, p = .045). Moreover, medical professionals favor the legalization of MC at a significantly higher rate than students (52% vs. 42%, respectively; χ² (1, N = 9019) = 50.72 p < .001). Also, respondents consistently report a strong desire for more education about MC and a substantial concern regarding MC’s potential to cause dependence and addiction. Pearson’s correlations between year of publication and survey responses for both of these queried variables suggest minimal changes within the last decade (2011–2019 for addiction and dependence, 2012-2019 for additional education; r(13) = − .10, p = .713 and r(12) = − .12, p = .678, respectively).

Conclusion

The finding that both medical students’ and professionals’ acceptance of MC has significantly increased in recent decades—in conjunction with their consistent, strong desire for more educational material—suggests that the medical community should prioritize the development of MC educational programs. MC is far more likely to succeed as a safe and viable therapy if the medical professionals who administer it are well-trained and confident regarding its clinical effects. Limitations include a lack of covariate-based analyses and the exclusion of studies published after the literature search was performed (June 2019). Future research should analyze studies published post-2019 to draw temporal comparisons and should investigate the effect of numerous covariates (e.g., gender, religiosity, prior cannabis use) as newer studies gather data on these factors [PROSPERO Registration: CRD42020204382].

Adolescents' Marijuana Use Following Recreational Marijuana Legalization in Alaska and Hawaii

Alaska and Hawaii, the only two noncontiguous states in the United States, have different marijuana policy environments. Alaska enacted recreational marijuana legalization (RML) in 2014, whereas recreational marijuana is still illegal in Hawaii. This study analyzed how RML affects adolescents' marijuana use (MU) by comparing two states. We used data from 2 states (Alaska and Hawaii) from the Youth Risk Behavior Survey, 2009 to 2019 years (N = 35 467). The trends of lifetime MU and current MU were examined. Using difference-in-differences analysis models, this study investigated whether RML increased lifetime and current MU in Alaska compared with Hawaii after adjusting for socioeconomic characteristics. Both lifetime and current MU prevalence among adolescents in Alaska increased after RML, while both rates in Hawaii gradually decreased. The rate of lifetime MU in Alaska was significantly increased after RML (odds ratio [OR] = 1.29) compared with Hawaii. Similarly, the current MU among adolescents in Alaska was significantly increased compared with that in Hawaii (OR = 1.34). Both lifetime and current MU were increased following RML in Alaska, suggesting that RML may affect the increase of MU among adolescents.

Joint perceptions of the risk and availability of Cannabis in the United States, 2002-2018

BACKGROUND

Prior work suggests that perceived risk and perceived availability of cannabis independently affect cannabis use. However, perceived risk likely modifies the effect of perceived availability, and vice versa. This study explored trends in joint perceived risk and availability of cannabis from 2002 to 2018 and the relationship between combined perceptions and cannabis use, frequent use, and cannabis use disorder (CUD).

METHODS

National Surveys on Drug Use and Health data (n = 949,285, ages 12+) were used to create combined categories of perceived risk of weekly cannabis use and perceived cannabis availability. Descriptive analyses compared joint perceived risk/availability trends (pre/post-2015 due to survey redesign) overall and stratified by age, gender, past-year cannabis use, frequent use, and CUD. Regression analysis estimated associations between perceived risk/availability and cannabis outcomes.

RESULTS

From 2002 to 2018, the prevalence of perceiving cannabis as low-risk doubled while perceiving cannabis as available remained unchanged. The proportion of individuals perceiving cannabis as Low-risk/Available increased by 86% from 2002 to 2014 (16.8%-31.2%) and 19% from 2015 to 2018 (30.1%-35.8%) while High-risk/Available and High-risk/Unavailable proportions declined. Differing patterns were observed by age and gender. Compared with individuals perceiving cannabis as High-risk/Unavailable, people in all other perception categories had greater risk of all cannabis outcomes. Results were consistent with additive interaction between perceived risk and availability in their effects on cannabis use.

CONCLUSIONS

Trends and associations with cannabis outcomes differ when considering perceived risk and availability independently versus jointly. Longitudinal studies and cannabis policy evaluations would advance understanding of links between cannabis perceptions and use.

Day-level shifts in social contexts during youth cannabis use treatment

OBJECTIVE

Social context plays a critical role in youth cannabis use. Yet few studies have examined if and when social contexts shift during cannabis use treatment. This study examined daily shifts in youths' social contexts with the goal of characterizing how specific social contexts (e.g., time with cannabis-using friends or siblings) relate to cannabis craving and use during cannabis treatment.

METHOD

Participants were 65 cannabis users (51% male), ages 15-24 years, who participated in a double-blind randomized clinical trial that tested the effects of motivational enhancement and cognitive behavioral therapies plus either adjunctive pharmacotherapy or placebo on cannabis craving and use. Ecological momentary assessment (EMA) data, collected from a pre-randomization period through the completion of the six-week intervention, assessed youths' social contexts, cannabis use, and craving.

RESULTS

Time-varying effects models identified shifts in social contexts during treatment. Overall, time spent with cannabis-using friends and siblings decreased, where time spent with non-using friends or alone increased across the trial. Time with parents or non-using siblings was unchanged. Comparing the relative associations of social contexts with same-day craving and use, more time with cannabis-using friends and with siblings was uniquely associated with greater craving and use.

CONCLUSIONS

Social context is an important factor in youth substance-use treatment. While time spent with cannabis-using friends and siblings decreased over treatment for all participants, those who continued to spend time with using individuals reported greater craving and use. This research supports increased attention to shifting youths' social contexts to enhance treatment success. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

A mixed-methods study to inform the clarity and accuracy of cannabis-use and cannabis-tobacco co-use survey measures

BACKGROUND

Legalization of medical and recreational cannabis in US states has been accompanied by increases in availability, acceptability, and diversity in methods of cannabis use, as well as an increase in devices and methods for cannabis-tobacco co-use. Updated and specific survey measures of cannabis and cannabis-tobacco co-use are needed.

METHODS

We employed a mixed-methods approach to identify sources of specification and measurement error in cannabis and cannabis-tobacco co-use measures. We surveyed and interviewed 36 young adult (age 18-29) cannabis and tobacco co-users in California (2017-2018), triangulated with document analysis of online cannabis websites and forums. We investigated how survey reports of cannabis use and cannabis-tobacco co-use compared to narrative descriptions provided during in-depth interviews. We identify key strategies for researchers collecting self-reported survey data to enhance accuracy and comprehensiveness of measures.

FINDINGS

Potential sources of survey error included: broad variation in cannabinoid content and concentration, inconsistent interpretation of questions between participants and researchers (e.g. blunts were not considered co-use), and substantial variation in dosage within and between products. No evidence of survey recall bias or response editing was detected.

CONCLUSION

To enhance survey accuracy, we recommend surveys specify which cannabis delivery methods and forms are included and excluded in each measure, differentiate between cannabis products, and explicitly include or exclude CBD product use.

Psychosocial and pharmacological treatments for cannabis use disorder and mental health comorbidities: a narrative review

Cannabis is the most widely used illicit drug worldwide, and it is estimated that up to 30% of people who use cannabis will develop a cannabis use disorder (CUD). Demand for treatment of CUD is increasing in almost every region of the world and cannabis use is highly comorbid with mental disorders, where sustained use can reduce treatment compliance and increase risk of relapse. In this narrative review, we outline evidence for psychosocial and pharmacological treatment strategies for CUD, both alone and when comorbid with psychosis, anxiety or depression. Psychosocial treatments such as cognitive behavioural therapy, motivational enhancement therapy and contingency management are currently the most effective strategy for treating CUD but are of limited benefit when comorbid with psychosis. Pharmacological treatments targeting the endocannabinoid system have the potential to reduce cannabis withdrawal and cannabis use in CUD. Mental health comorbidities including anxiety, depression and psychosis hinder effective treatment and should be addressed in treatment provision and clinical decision making to reduce the global burden of CUDs. Antipsychotic medication may decrease cannabis use and cannabis craving as well as psychotic symptoms in patients with CUD and psychosis. Targeted treatments for anxiety and depression when comorbid with CUD are feasible.

The associations of medical marijuana policies with opioid-related health care utilization

OBJECTIVE

To examine the associations between medical marijuana policies and opioid-related hospitalizations and emergency department visits.

DATA SOURCES

We utilized quarterly rates of hospital discharge data from the Healthcare Cost and Utilization Project's (HCUP) Fast Stats Database from 2005 to 2016 along with state-level sociodemographic data from US Census Bureau and Bureau of Labor Statistics and opioid-related state health policy data from publicly available sources for the analysis.

STUDY DESIGN

Analyses were carried out using a difference-in-differences regression approach. We estimate heterogeneous effects of medical marijuana policies such as initial policy, presence of active dispensary, and home cultivation on opioid-related hospitalizations and emergency department visits related to opioids.

DATA COLLECTION/EXTRACTION METHODS

Publicly available secondary data were collected, linked, and analyzed. Observations with missing values for explanatory variables were excluded from the analysis.

PRINCIPAL FINDINGS

Regression results indicate that type of medical marijuana policy has varying effects on opioid-related hospitalizations and emergency department visits. States that allow home cultivation of medical marijuana experienced significant positive associations with opioid-related hospitalizations and emergency department visits, while no effect was observed with medical marijuana dispensaries. Moreover, recreational marijuana policies were positively associated with opioid-related hospitalizations.

CONCLUSIONS

The findings indicate that the effects of medical marijuana policies on opioid-related hospitalizations and emergency department visits vary depending on the type of medical marijuana policy. Our findings indicate that the implementation of home cultivation of marijuana is positively associated with hospitalizations and emergency department visits related to opioids, suggesting that easier access to marijuana among opioid users may result in adverse health conditions that need treatment.

Parents' Cannabis-Related Attitudes and Emerging Adult Offspring Cannabis Use: Testing the Mediating Effect of Perceived Parental Approval

Background: Contrary to parental alcohol use and expectancies work, little is known about how parent's cannabis use (CU) and expectancies influence offspring CU. This is a notable gap in the literature given increasing acceptability and use of cannabis, especially among emerging adults (EA). Moreover, limited work has tested mechanisms of transmission of risk from these parent factors. This study addresses these gaps by testing prospective associations of parental CU and expectancies with offspring CU and CU problems, and perceived parental approval of offspring CU as a potential mediator. Method: A community sample of 314 EA and caregiver dyads completed three annual assessments (mean age = 19.13). The sample was 54% female and majority White/non-Hispanic (76%). Caregivers reported on their cannabis expectancies and use, and EA reported on their CU, CU-related problems, and perceived parental approval of CU. Results: Longitudinal structural equation modeling supported a mediated pathway such that high parental positive cannabis expectancies were associated with perceived parental approval of CU, which in turn, predicted increases in EA CU and CU problems. Parental negative expectancies had a significant indirect effect but in the opposite direction. Indirect effects were found above and beyond parental CU, which was not associated with offspring CU. Conclusions: This is the first study to test prospective indirect effects of parental cannabis expectancies on offspring CU. Findings suggest parents' attitudes, even in the absence of parental use, confer risk for offspring use by shaping perceived acceptance of CU, suggesting parental expectancies as targets for parent-based CU interventions.

Natural Cannabinoids as Templates for Sleep Disturbances Treatments

The sleep-wake cycle is a complex composition of specific physiological and behavioral characteristics. In addition, neuroanatomical, neurochemical and molecular systems exerts influences in the modulation of the sleep-wake cycle. Moreover, homeostatic and circadian mechanisms interact to control the waking or sleeping states. As many other behaviors, sleep also develops pathological features that include several signs and symptoms corresponding to medical conditions known as sleep disorders.In addition to the neurobiological mechanisms modulating sleep, external elements also influence the sleep-wake cycle, including the use of Cannabis sativa (C. sativa). In this regard, and over the last decades, the interest of studying the pharmacology of Δ⁹-tetrahydrocannabinol (Δ⁹-THC), the principal psychoactive constituent of C. sativa, has been addressed. Moreover, in recent years, the focus of scientific interest has moved on to studying the second plant constituent with non-psychotropic pharmacological properties: Cannabidiol (CBD).The pharmacological and pharmaceutical interest of CBD has been focus of attention due to the accumulating body of evidence regarding the positive outcomes of using CBD for the treatment of several health issues, such as psychiatric and neurodegenerative disorders, epilepsy, etc. Since the most prominent sleep disruptions include excessive daytime sleepiness (EDS), current treatments include the use of drugs such as stimulants of antidepressants. Notwithstanding, side effects are commonly reported among the patients under prescription of these compounds. Thus, the search of novelty therapeutical approaches aimed to treat ESD may consider the use of cannabinoid-derived compounds, such as CBD. In this chapter, we will show experimental evidence regarding the potential role of CBD as a wake-inducing compound aimed to manage EDS.

Prevalence and Correlates of Medicinal Cannabis Use Among Adolescents

PURPOSE

Prior studies of medicinal cannabis use (MCU) have focused primarily on adults. This study examined the prevalence and correlates of self-reported MCU among adolescents.

METHODS

Secondary school students (grades 9-12; N = 3,221) completed a cross-sectional survey in classrooms across Ontario, Canada, in 2016-2017. Participants reported on cannabis use behavior, cannabis dependence, other drugs use, and general health and sleep. Participants reporting cannabis use in the past year were grouped based on whether they reported MCU or not (i.e., recreational cannabis use only [RCU-only]).

RESULTS

An estimated 6.89% (95% confidence interval 5.48%-8.63%) of students reported MCU, representing one quarter of the students reporting current cannabis use. Relative to the RCU-only group, the MCU group reported using cannabis more frequently, were more likely to report vaping and eating cannabis, had greater risk for cannabis dependence, perceived cannabis as less harmful, were more likely to report tobacco use, recreational use of other drugs, and medicinal use of sedatives or tranquilizers, and were less likely to report good health and sleeping for seven or more hours per night. Frequency of cannabis use accounted for differences between MCU and RCU-only groups in cannabis dependence risk, recreational use of other drugs, and perceiving cannabis as harmful, but it did not account for the other differences.

CONCLUSIONS

A sizable portion of secondary school students report MCU, which appears to be associated with more frequent cannabis use and certain substance use and health-related correlates. Research is needed to further characterize motives for self-reported MCU among adolescents.

Relations between cannabis use, socioeconomic status, and risk perceptions in a Hispanic/Latinx population

Socioeconomic status (SES) and risk perceptions are indicative of cannabis use and subjective social status (SSS) may have utility in predicting cannabis use. This work examined relations between these indicators of cannabis use and use in a Hispanic/Latinx sample. Results found negative relations between risk perceptions and cannabis use. SES was unrelated to cannabis outcomes and risk perceptions but SSS had a negative relation with lifetime use. SSS positively related to risk assimilation in the full sample. Findings demonstrate how risk perceptions relate to cannabis use and suggest SES and SSS may not be indicative of use among Hispanic/Latinx populations.

Has Cannabis Use Among Youth Increased After Changes in Its Legal Status? A Commentary on Use of Monitoring the Future for Analyses of Changes in State Cannabis Laws

As US states move toward various forms of adult access to cannabis, there has been a great interest in measuring the impact of such changes on adolescent cannabis use. Two recent prominent analyses have used Monitoring the Future (MTF), a nationally representative survey of students, to examine the effects. We compared MTF data for California and for Washington State with other survey data on use by adolescents in those states. In both studies, findings based on MTF were different from those using other larger, state-representative surveys. The discrepancy reflects the high within-state variation in prevalence rates and the small number of schools in MTF state samples. Using the Washington Health Youth Survey, we estimate that after recreational cannabis legalization past 30-day cannabis use prevalence in grade 8 decreased by 22.0%, in grade 10 prevalence decreased by 12.7%, and no effect in grade 12. These trends are consistent with those in states without recreational cannabis laws, suggesting that legalization did not impact adolescent use prevalence. Long-term trends in MTF are consistent with other data, but year-to-year volatility in state-level series undermines the survey's suitability for evaluation of state cannabis policy changes. Survey-based analyses at the state level need to be cross-validated with findings from other data sources. When findings are disparate and methodological rigor is equivalent, analyses of data sources specifically designed to describe state-level phenomena are more credible.

Implications of Medical and Recreational Marijuana Laws for Neuroscience Research: a Review

Purpose of Review

Review of US medical and recreational marijuana laws (MML and RML), their effects on cannabis potency, prevalence of non-medical cannabis use and cannabis use disorder (CUD) in adolescents and adults, and implications for neuroscience research, given what is known about the relationship of cannabis to neurocognitive impairments and underlying brain functioning.

Recent Findings

Cannabis potency may be increasing faster in states with MML or RML than in other states. MML and RML have not impacted prevalence in adolescents but have consistently been shown to increase rates of adult non-medical use and CUD.

Summary

Recent neurocognitive or neuroimaging studies may be more impacted by cannabis than studies conducted when MML and RML were less common. Neurocognitive or neuroimaging studies conducted in MML or RML states should carefully test potential participants for recent cannabis use. More research is needed on cannabis and cognition in medical marijuana patients.

Medical marijuana laws and driving under the influence of marijuana and alcohol

AIMS

Medical marijuana law (MML) enactment in the United States has been associated with increased cannabis use but lower traffic fatality rates. We assessed the possible association of MML and individual-level driving under the influence of cannabis (DUIC) and also under the influence of alcohol (DUIA).

DESIGN AND SETTING

Three cross-sectional U.S. adult surveys: The National Longitudinal Alcohol Epidemiologic Survey (NLAES; 1991-1992), the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; 2001-2002), and the NESARC-III (2012-2013).

PARTICIPANTS

The total n was 118 497: 41 764, 41 184, and 35 549 from NLAES, NESARC, and NESARC-III, respectively.

MEASUREMENTS

Across the three surveys, similar questions in the Alcohol Use Disorder and Associated Disabilities Interview Schedule assessed DUIC and DUIA. Ever-MML states enacted MML between 1991-1992 and 2012-2013 (overall period). Early-MML states enacted MML between 1991-1992 and 2001-2002 (early period). Late-MML states enacted MML between 2001-2002 and 2012-2013 (late period). MML effects on change in DUIC and DUIA prevalence were estimated using a difference-in-differences specification to compare changes in MML and other states.

FINDINGS

From 1991-1992 to 2012-2013, DUIC prevalence nearly doubled (from 1.02% to 1.92%), increasing more in states that enacted MML than other states (difference-in-differences [DiD] = 0.59%; 95% CI = 0.06%-1.12%). Most change in DUIC prevalence occurred between 2001-2002 and 2012-2013. DUIC prevalence increased more in states that enacted MML 2001-2002 to 2012-2013 than in never-MML states (DiD = 0.77%; 95% CI = -0.05%-1.59%), and in two early-MML states, California (DiD = 0.82; 95% CI = 0.06-1.59) and Colorado (DiD = 1.32; 95% CI = 0.11-2.53). In contrast, DUIA prevalence appeared unrelated to MML enactment.

CONCLUSIONS

Medical marijuana law enactment in US states appears to have been associated with increased prevalence of driving under the influence of cannabis, but not alcohol.

Impact evaluations of drug decriminalisation and legal regulation on drug use, health and social harms: a systematic review

OBJECTIVES

To review the metrics and findings of studies evaluating effects of drug decriminalisation or legal regulation on drug availability, use or related health and social harms globally.

DESIGN

Systematic review with narrative synthesis.

DATA SOURCES

We searched MEDLINE, Embase, PsycINFO, Web of Science and six additional databases for publications from 1 January 1970 through 4 October 2018.

INCLUSION CRITERIA

Peer-reviewed articles or published abstracts in any language with quantitative data on drug availability, use or related health and social harms collected before and after implementation of de jure drug decriminalisation or legal regulation.

DATA EXTRACTION AND SYNTHESIS

Two independent reviewers screened titles, abstracts and articles for inclusion. Extraction and quality appraisal (modified Downs and Black checklist) were performed by one reviewer and checked by a second, with discrepancies resolved by a third. We coded study-level outcome measures into metric groupings and categorised the estimated direction of association between the legal change and outcomes of interest.

RESULTS

We screened 4860 titles and 221 full-texts and included 114 articles. Most (n=104, 91.2%) were from the USA, evaluated cannabis reform (n=109, 95.6%) and focussed on legal regulation (n=96, 84.2%). 224 study outcome measures were categorised into 32 metrics, most commonly prevalence (39.5% of studies), frequency (14.0%) or perceived harmfulness (10.5%) of use of the decriminalised or regulated drug; or use of tobacco, alcohol or other drugs (12.3%). Across all substance use metrics, legal reform was most often not associated with changes in use.

CONCLUSIONS

Studies evaluating drug decriminalisation and legal regulation are concentrated in the USA and on cannabis legalisation. Despite the range of outcomes potentially impacted by drug law reform, extant research is narrowly focussed, with a particular emphasis on the prevalence of use. Metrics in drug law reform evaluations require improved alignment with relevant health and social outcomes.

Marijuana and the Pediatric Population

Cannabinoids, the psychoactive compounds in marijuana, are one of the most commonly used substances in the United States. In this review, we summarize the impact of marijuana on child and adolescent health and discuss the implications of marijuana use for pediatric practice. We review the changing epidemiology of cannabis use and provide an update on medical use, routes of administration, synthetic marijuana and other novel products, the effect of cannabis on the developing brain, other health and social consequences of use, and issues related to marijuana legalization.