Co-Use of Tobacco Products and Cannabis Is Associated with Absenteeism and Lower Grades in California High School Students.

OBJECTIVE: To examine the association between co-use of commercial tobacco product (hereafter referred to as tobacco) and cannabis with educational outcomes among high school students. STUDY DESIGN: We analyzed high school student data from the 2021-2022 California Healthy Kids Survey (n = 287 653). Current (past-month) or ever tobacco and cannabis use was categorized as co-use, only tobacco or cannabis, or neither. Two self-reported educational outcomes were examined: absenteeism and grades. Adjusted logistic and linear regression models were used to examine the association between tobacco/cannabis use and absenteeism or grades, respectively. Estimates were adjusted for individual, peer, and school covariates, and clustering within schools. RESULTS: Current co-use of tobacco and cannabis was more than double the use of only tobacco (3.7% vs 1.7%) and similar to only cannabis (3.7%). Almost 18% of students reported absenteeism. Compared with students who used neither substance, students with current co-use had greater odds of absenteeism (aOR 1.41, 95% CI 1.33-1.49) and lower grades (ß = -0.87, 95% CI -0.92 to -0.82). Compared with students using tobacco alone, students with co-use also had a significant elevated odds of absenteeism (aOR 1.19, 95% CI 1.10-1.29) and lower grades (ß = -0.39, 95% CI -0.46 to -0.32). Similar results were found for students who ever used tobacco and cannabis. CONCLUSIONS: California youth who co-use tobacco and cannabis were most likely to have absenteeism and lower grades. Comprehensive efforts to prevent or reduce youth substance use may improve educational outcomes.

Legalization and retail availability of recreational marijuana and adolescent use in schools.

Legalization of use and retail sales of recreational marijuana in U.S. states and the associated potential increase in access to marijuana and normalization of its use by adults could lead to increased use by adolescents. Studies have found that states with legal recreational marijuana have higher rates of adolescent use and frequency of use compared to states without legal use. We examined changes in student office discipline referrals (ODRs) for substance use offenses in Oregon middle and high schools before and after the legalization of recreational marijuana relative to comparison schools in other states. We found that rates of substance use related ODRs in middle schools increased by 0.14 per 100 students (30% of the mean) with legalization relative to comparison schools. This increase was moderated by the presence of a marijuana outlet within one mile of the school. We found no statistically discernible changes in high school ODRs. Marijuana use in adolescence has been linked to negative health and social consequences, including academic problems, mental health issues, and impaired driving. Potential adverse impact on adolescents and investments in school-based prevention programs could be important considerations for policymakers and public health officials when evaluating marijuana legalization.

Marijuana use disorder among adults with functional disabilities-A US population-based cross-sectional study.

BACKGROUND AND OBJECTIVES: Recent studies suggest a growing trend in marijuana use, compared to a stable prevalence of marijuana use disorder among US adults over the first 15 years of the 21st century. This study investigated the recent patterns of marijuana use disorder among people with disabilities (PWD). METHODS: We extracted a nationally representative sample (N = 209,058) from the 2015-2019 National Survey on Drug Use and Health data set and examined associations by functional disability status (any disability, disability by type, and number of disabling limitations) with marijuana use disorder using a series of independent multivariable logistic regression models. We also performed trend analyses during the study period. RESULTS: The prevalence of marijuana use disorder (from 1.7% to 2.3%) increased significantly among PWD between 2015 and 2019 (p-trend < .001). PWD were significantly more likely to report marijuana use disorder (odds ratio [OR], 1.37, 95% confidence interval [CI], 1.24-1.52) than people without disability (PWoD). Those with cognitive limitation only (OR, 1.78, 95% CI, 1.53-2.06) and ≥2 limitations (OR, 1.29, 95% CI, 1.10-1.51) were more likely to report marijuana use disorder than PWoD. DISCUSSION AND CONCLUSIONS: PWD had a consistently higher prevalence of marijuana use disorder than PWoD. Additionally, the level of risk for marijuana use disorder varied by disability type and number of disabling limitations. SCIENTIFIC SIGNIFICANCE: Our study provided new nuance on disparities in marijuana use disorder between PWD and PWoD and further revealed the varied risks for marijuana use disorder across different disability statuses.

Perception of harm is strongly associated with complete ban on in-home cannabis smoking: a cross-sectional study.

BACKGROUND: Perception of health risk can influence household rules, but little is known about how the perception of harm from cannabis secondhand smoke (cSHS) is related to having a complete ban on in-home cannabis smoking. We examined this association among a nationally representative sample of United States adults. METHODS: Respondents were 21,381 adults from the cross-sectional Marijuana Use and Environmental Survey recruited from December 2019-February 2020. Perceived harm of cSHS exposure (extremely harmful, somewhat harmful, mostly safe, or totally safe) and complete ban of cannabis smoking anywhere in the home (yes or no) were self-reported. Logistic regression for survey-weighted data estimated covariate-adjusted odds ratios (OR) and 95% confidence intervals (CI) for the association between perceived harm of cSHS and complete ban on in-home cannabis smoking. Stratified subgroup analyses (by cannabis smoking status, cannabis use legalization in state of residence, and children under age 6 living in the home) were conducted to quantify effect measure modification of the association between perception of harm and complete ban. RESULTS: A complete ban on in-home cannabis smoking was reported by 71.8% of respondents. Eight percent reported cSHS as "totally safe"; 20.5% "mostly safe"; 38.3% "somewhat harmful"; and 33.0% "extremely harmful". Those who reported cSHS as "extremely harmful" had 6 times the odds of a complete ban on in-home cannabis smoking (OR = 6.0, 95%CI = 4.9-7.2) as those reporting smoking as "totally safe". The odds of a complete ban were higher among those reporting cSHS as "somewhat harmful" (OR = 2.6, 95%CI = 2.2-3.1) or "mostly safe" (OR = 1.4, 95%CI = 1.2-1.7) vs those reporting cSHS as "totally safe". In each subgroup of cannabis smoking status, state cannabis use legalization, and children under the age of 6 living in the home, perceived harm was associated with a complete ban on in-home cannabis smoking. CONCLUSIONS: Our study demonstrates perceiving cSHS as harmful is strongly associated with having a complete in-home cannabis smoking ban. With almost a third of US adults perceiving cSHS as at least "mostly safe", there is strong need to educate the general population about potential risks associated with cSHS exposure to raise awareness and encourage adoption of household rules prohibiting indoor cannabis smoking.

Cannabis Smoking and Storage within the Home: A Cross-Sectional Survey of Pregnant Women and Women with Young Children.

INTRODUCTION: Child cannabis exposure has increased in recent years - a trend that parallels changes to state cannabis legality. Yet, little is known about household cannabis practices. To address this gap, this study aimed to examine household cannabis practices among a geographically diverse sample of US women of reproductive age. We also examined variations in household cannabis practices across state cannabis policies. METHODS: The study sample (N = 114) included pregnant women and women with young children in their home. In Spring of 2021, 114 women completed a single cross-sectional online survey that included demographic information and asked about cannabis use, household cannabis practices (e.g., indoor smoking, cannabis storage), and cannabis use risk perceptions. We analyzed data using descriptive statistics and Fisher's exact tests. RESULTS: A total of 69.23% of women reported cannabis products were allowed in their home and 42.98% reported that smoking cannabis was permitted in one or more rooms. Self-reported cannabis use, as well as partner or family cannabis use were significantly associated with allowing cannabis products in the home (p < 0.001). There was no difference in cannabis smoking rules among women in states with legalized cannabis (47.73%) than those in states that had yet to legalize (40.00%), p = 0.339. CONCLUSIONS: Amid rapidly shifting cannabis policies, further examination of household cannabis practices is needed. Public heath efforts should focus on reducing in-home cannabis exposure and promote safe storage and smoking practices for families with children in the home.

Age differences in patterns of cannabis use among an online US sample of adults who consume cannabis frequently.

Background: Cannabis use is increasing among middle-aged and older US adults, populations that are particularly vulnerable to the adverse effects of cannabis. Risks for adverse effects differ by cannabis use patterns, which have become increasingly heterogeneous. Nevertheless, little is known about age differences in such patterns.Objective: To investigate age differences in cannabis use patterns, comparing younger (age 18-49), middle-aged (age 50-64), and older adults (age ≥65).Methods: A total of 4,151 US adults with past 7-day cannabis consumption completed an online survey (35.1% male; 60.1% female; 4.8% identified as "other"). Regression models examined age differences in cannabis use patterns.Results: Compared to younger adults, middle-aged and older adults were more likely to consume cannabis during evening hours (50-64: adjusted odds ratio [aOR] = 2.98, 95% CI 2.24-3.96; ≥65: aOR = 4.23, 95 CI 2.82-6.35); by only one method (50-64: aOR = 1.67, 95% CI 1.34-2.09; ≥65: aOR = 3.38, 95 CI 2.24-5.09); primarily by smoking as the only method (50-64: aOR = 1.52, 95% CI 1.29-1.78; ≥65: aOR = 2.12, 95 CI 1.64-2.74); but less likely to consume concentrated cannabis products (concentrates) with extremely high %THC (50-64: aOR = 0.71, 95% CI 0.54-0.93; ≥65: aOR = 0.30, 95 CI 0.16-0.55). Age differences in cannabis use patterns were also observed between middle-aged and older adults.Conclusion: Findings suggest that middle-aged and older adults may engage in less risky cannabis use patterns compared to younger groups (e.g. lower likelihood of consuming highly potent concentrates). However, findings also underscore the importance of recognizing risks unique to these older demographics, such as smoking-related health events. Consequently, prevention strategies targeting such use patterns are needed.

Medicinal cannabis use among young adults during California's transition from legalized medical use to adult-use: a longitudinal analysis.

Background: In 2016, California transitioned from legalized medical cannabis use to adult-use. Little is known about how this policy change affected medicinal cannabis use among young adults.Objectives: To identify longitudinal groups of medicinal cannabis users and concurrent changes in health- and cannabis use-related characteristics among young adults in Los Angeles between 2014 and 2021.Methods: Cannabis users (210 patients and 156 non-patients; 34% female; ages 18-26 at baseline) were surveyed annually across six waves. Longitudinal latent class analysis derived groups from two factors - cannabis patient status and self-reported medicinal use. Trajectories of health symptoms, cannabis use motives, and cannabis use (daily/near daily use, concentrate use, and problematic use) were estimated across groups.Results: Three longitudinal latent classes emerged: Recreational Users (39.3%) - low self-reported medicinal use and low-to-decreasing patient status; Recreational Patients (40.4%) - low self-reported medicinal use and high-to-decreasing patient status; Medicinal Patients (20.3%) - high self-reported medicinal use and high-to-decreasing patient status. At baseline, Medicinal Patients had higher levels of physical health symptoms and motives than recreational groups (p < .05); both patient groups reported higher level of daily/near daily and concentrate use (p < .01). Over time, mental health symptoms increased in recreational groups (p < .05) and problematic cannabis use increased among Recreational Patients (p < .01).Conclusions: During the transition to legalized adult-use, patterns of medicinal cannabis use varied among young adults. Clinicians should monitor increases in mental health symptoms and cannabis-related problems among young adults who report recreational - but not medicinal - cannabis use.

Proximity to Cannabis Retailers and Recent Cannabis Use among a Diverse Sample of California Adolescents.

Background: As of May 2023, 23 states and Washington, DC have legalized the sale of cannabis for adults aged 21+, and 38 states, three territories, and D.C. have legalized medical cannabis. Exposure to cannabis retailers could increase adolescent cannabis use. Few studies have examined the impact of residential proximity to cannabis retailers on adolescent cannabis use, and previous findings are inconsistent. Methods: This study examined associations between proximity to cannabis retailers and past 30-day cannabis use. Data were from Project Cal Teens, a statewide survey of California adolescents regarding cannabis-related opinions/behaviors (N = 1406, mean age = 15.5 years, 48% female, 38% Hispanic/Latinx, 33% White, 15% Asian/Pacific Islander, 10% Black/African American, 5% Other/Multiracial). Participants were recruited via schools/social media in 2018-2020. Results: For every additional 5 driving miles to the nearest cannabis retailer, the risk of past 30-day cannabis use was reduced by 3.6% [IRR: 0.964; 95% CI: 0.935-0.994]. For every additional 5 miles from a licensed retailer, the risk of past 30-day cannabis use was reduced by 4.3% [IRR: 0.957; 95% CI: 0.926-0.989]. Interaction analyses revealed that among Hispanic/Latinx students, every 5 miles from a licensed retailer was associated with an 11.9% reduction in the risk of past 30-day cannabis use [IRR: 0.881; 95% CI: 0.820-0.945]. Conclusions: As the number of cannabis retailers in the U.S. increases with the continued legalization of adult cannabis use, research examining the effects of these policies on underage use is crucial. Interventions could include enforcement of zoning laws in/near residential areas to reduce accessibility of adolescents to cannabis retailers.

Examining the Association between Medical Marijuana Legalization and Criminal Behaviors: Evidence from a U.S. Representative Sample.

Background: Medical marijuana legalization (MML) has been widely implemented in the past decade. However, the debates regarding the consequences of MML persist, especially criminal behaviors. Objectives: We examined the association between MML and criminal behaviors among adults in the United States. The criminal behaviors measured three past-year offenses: whether the adult (1) have sold illegal drugs, (2) have stolen anything worth > $50 USD, or (3) have attacked someone. Methods: Using the 2015-2020 National Survey of Drug Use and Health, we included 214,505 adults in our primary analysis for 2015-2019 and 27,170 adults in 2020 for supplemental analysis (age > = 18). Weighted multivariable logistic regression models were used to examine the association between MML and three criminal behaviors. Results: In our primary analysis, we observed no statistically significant association between MML and the three outcomes of criminal behavior. Nevertheless, our supplemental analysis of the 2020 data showed MML was associated with increasing odds of the three criminal behaviors (have sold illegal drugs: AOR [adjusted odds ratio] = 1.7; have stolen anything worth > $50 USD: AOR = 1.9; have attacked someone: AOR = 1.8; all p < 0.05). Conclusion: Surveys from 2015 to 2019 did not suggest MML as a risk factor for higher incidence of criminal behaviors. However, 2020 data showed statistically significant association between MML and selected criminal behaviors. Issues related to the COVID-19 pandemic, such as the U.S. economic downturn, could potentially explain this discrepancy. Further research efforts may be warranted.

Associations between Adolescent Marijuana Use, Driving after Marijuana Use and Recreational Retail Sale in Colorado, USA.

OBJECTIVE: We investigated associations between the retail distribution of recreational marijuana in Colorado and (i) past 30-day marijuana use and (ii) driving after marijuana use (DAMU) among a representative sample of public high school students using four waves of data from a state surveillance system. METHODS: Past 30-day marijuana use was assessed among all sampled students (n = 85,336). DAMU was assessed among students 15 years or older who indicated driving (n = 47,518). Modified Poisson regression with robust variance estimates was used to estimate prevalence ratios (PR) comparing the pre-distribution (2013) and post-distribution (2015, 2017, 2019) periods for marijuana-related behaviors. Frequency of behavioral engagement was assessed using a multinomial approach. RESULTS: An estimated 20.3% of students engaged in past 30-day marijuana use and 10.5% of student drivers engaged in DAMU. Retail distribution of recreational marijuana was not significantly associated with the prevalence of any marijuana use or DAMU. However, it was associated with 1.16 (95% CI: 1.04-1.29) times the prevalence of using marijuana one or two times in the last 30 days, 1.27 (1.03, 1.55) times the prevalence of DAMU one time, and 0.82 (0.69, 0.98) times the prevalence of DAMU six or more times. No significant associations were observed for the remaining frequency categories. CONCLUSIONS: Approximately 1 in 10 students who drive reported DAMU. Varying prevalence in the frequency of past 30-day marijuana use and DAMU was observed following the retail distribution of recreational marijuana in Colorado. Care should be taken to properly educate adolescent drivers regarding the dangers of DAMU.

Cannabis Policy and Consumption: Taking into account Substitution Effects.

Background: Previous studies examining the cannabis-alcohol substitution effect have found that medical cannabis policies may result in substituting the use of cannabis in place of alcohol use. Objectives: This study adds to the literature on cannabis-alcohol substitution by analyzing the effect of decriminalization, medicinal cannabis, and adult-use legalization cannabis policies (2002-2019) on cannabis and alcohol use and substance substitution for all 50 states and the District of Columbia (N=867). Results: Results support the notion that liberalized cannabis policies can increase the prevalence of cannabis use. An adult-use legalization specific analysis yielded findings suggesting a complex and heterogenous effect of such laws on cannabis-alcohol complementation. Conclusion: Given the lack of clarity and heterogenous effects of cannabis laws, policy makers should carefully take into consideration the benefits of medical cannabis laws, along with the risks of decriminalization and adult-use legalization.

Cannabis Use Characteristics Associated with Self-Reported Cognitive Function in a Nationally Representative U.S. sample.

BACKGROUND: With increases in cannabis use and potency, there is a need to improve our understanding of the impact of use on cognitive function. Previous research indicates long-term cannabis use may have a negative effect on executive function. Few studies have examined persistence of it in protracted abstinence, and there is limited evidence of predictors of worse cognitive function in current and former users. In this study, we aim to evaluate the associations between cannabis use status (current, former, and never use) and self-report cognition. Further, we investigate if cannabis use characteristics predict self-report cognitive function. METHODS: Cross-sectional cannabis use data from the National Epidemiological Survey on Alcohol and Related Conditions-III (NESARC-III), a national survey (N = 36,309) conducted in the USA between 2012 and 2013 were used alongside the Executive Function Index scales. The data were analyzed by using Ordinary Least Squares regression. RESULTS: Current (N = 3,681, Female = 37.7%) and former users (N = 7,448, Female = 45.4%) reported poorer cognition than never users (N = 24,956, Female = 56.6%). Self-reported cognition of former users was in-between that of current and never users. Several cannabis use characteristics were associated with self-reported cognition in current and former users. CONCLUSION: While prospective studies are required to confirm, findings suggest cannabis use is linked to worse cognition. There may be some limited recovery of cognition in former users and some cannabis use characteristics predict impairment. These findings add to our understanding of the cognitive impact of cannabis use. As worse cognitive function may impact relapse, findings have implications for personalization of cannabis use disorder treatment.

Cognitive Distortions Associated with Alcohol and Marijuana Use in Uruguayan Citizens.

Background: Psychological distress (i.e., incipient symptoms of anxiety, stress, and depression) may promote substance use through increased emission of cognitive distortions. These are automatic irrational thoughts that can promote distress, which in turn increases substance use. Aim: This study analyzed, in a sample of Uruguayan citizens, the unique contribution of cognitive distortions on the frequency and quantity of alcohol or marijuana use, over and above the contribution of psychological distress or the use of emotion regulation strategies. We also assessed whether these variables were associated with having initiated or resumed the use of a substance. Methods: A survey asked about alcohol and marijuana use, psychological distress, emotion regulation strategies, and cognitive distortions. The study comprised a convenience sample of 1132 participants (Mean age = 29.07 ± 8.19 years, 72.26% women). Separate hierarchical linear regression analyses were conducted on the frequency and quantity of alcohol or marijuana use, whereas a logistic regression was applied on having initiated or resumed the use of a substance. Results: Several cognitive distortions were significant predictors of frequency and quantity of alcohol consumption or frequency of marijuana use, over and above psychological distress. Differential emission of automatic thoughts was also associated, along with higher scores of psychological distress, with a significantly higher probability of having initiated the use of a new substance or having resumed the use of a substance. Conclusions: Cognitive distortions may promote alcohol and marijuana use. Interventions aimed at modifying these distortions should be considered to reduce the emission of these behaviors.

Marijuana Use among Pregnant and Nonpregnant Women of Reproductive Age, 2013-2019.

BACKGROUND: Marijuana is the most commonly used federally illicit substance among reproductive-age women in the United States. Updated information on marijuana use in this population can inform clinical and public health interventions. METHODS: Data from the 2013-2019 National Survey on Drug Use and Health was used to report weighted prevalence estimates of marijuana use in the past month, past 2-12 months, and past year among women aged 18-44 years with self-reported pregnancy status. Bivariate analyses and general linear regression models with Poisson distribution using appropriate survey procedures identified factors associated with past-year marijuana use by pregnancy status. RESULTS: Among pregnant women, 4.9% (95% confidence interval [CI]: 4.1-5.6) reported marijuana use in the past month, 10.4% (95% CI: 9.3-11.5) in the past 2-12 months, and 15.2% (95% CI: 13.9-16.6) in the past year. Among nonpregnant women, 11.8% (95% CI: 11.5-12.0) reported marijuana use in the past month, 7.8% (95% CI: 7.6-8.0) in the past 2-12 months, and 19.5% (95% CI: 19.2-19.9) in the past year. After adjusting for sociodemographic characteristics, past-year marijuana use was 2.3-5.1 times more likely among pregnant, and 2.1 to 4.6 times more likely among nonpregnant women who reported past-year tobacco smoking, alcohol use, or other illicit drug use compared to those reporting no substance use. CONCLUSIONS: Pregnant and nonpregnant women reporting marijuana use, alone or with other substances, can benefit from substance use screening and treatment facilitation.

Adolescent Δ8-THC and Marijuana Use in the US.

Importance: Gummies, flavored vaping devices, and other cannabis products containing psychoactive hemp-derived Δ8-tetrahydrocannabinol (THC) are increasingly marketed in the US with claims of being federally legal and comparable to marijuana. National data on prevalence and correlates of Δ8-THC use and comparisons to marijuana use among adolescents in the US are lacking. Objective: To estimate the self-reported prevalence of and sociodemographic and policy factors associated with Δ8-THC and marijuana use among US adolescents in the past 12 months. Design, Setting, and Participants: This nationally representative cross-sectional analysis included a randomly selected subset of 12th-grade students in 27 US states who participated in the Monitoring the Future Study in-school survey during February to June 2023. Exposures: Self-reported sex, race, ethnicity, and parental education; census region; state-level adult-use (ie, recreational) marijuana legalization (yes vs no); and state-level Δ8-THC policies (regulated vs not regulated). Main Outcomes and Measures: The primary outcome was self-reported Δ8-THC and marijuana use in the past 12 months (any vs no use and number of occasions used). Results: In the sample of 2186 12th-grade students (mean age, 17.7 years; 1054 [48.9% weighted] were female; 232 [11.1%] were Black, 411 [23.5%] were Hispanic, 1113 [46.1%] were White, and 328 [14.2%] were multiracial), prevalence of self-reported use in the past 12 months was 11.4% (95% CI, 8.6%-14.2%) for Δ8-THC and 30.4% (95% CI, 26.5%-34.4%) for marijuana. Of those 295 participants reporting Δ8-THC use, 35.4% used it at least 10 times in the past 12 months. Prevalence of Δ8-THC use was lower in Western vs Southern census regions (5.0% vs 14.3%; risk difference [RD], -9.4% [95% CI, -15.2% to -3.5%]; adjusted risk ratio [aRR], 0.35 [95% CI, 0.16-0.77]), states in which Δ8-THC was regulated vs not regulated (5.7% vs 14.4%; RD, -8.6% [95% CI, -12.9% to -4.4%]; aRR, 0.42 [95% CI, 0.23-0.74]), and states with vs without legal adult-use marijuana (8.0% vs 14.0%; RD, -6.0% [95% CI, -10.8% to -1.2%]; aRR, 0.56 [95% CI, 0.35-0.91]). Use in the past 12 months was lower among Hispanic than White participants for Δ8-THC (7.3% vs 14.4%; RD, -7.2% [95% CI, -12.2% to -2.1%]; aRR, 0.54 [95% CI, 0.34-0.87]) and marijuana (24.5% vs 33.0%; RD, -8.5% [95% CI, -14.9% to -2.1%]; aRR, 0.74 [95% CI, 0.59-0.94]). Δ8-THC and marijuana use prevalence did not differ by sex or parental education. Conclusions and Relevance: Δ8-THC use prevalence is appreciable among US adolescents and is higher in states without marijuana legalization or existing Δ8-THC regulations. Prioritizing surveillance, policy, and public health efforts addressing adolescent Δ8-THC use may be warranted.

Individual and Community level Developmental Adversities: Associations with Marijuana and Alcohol Use in Late-Adolescents and Young Adults.

Exposure to community and individual level stressors during adolescence has been reported to be associated with increased substance use. However, it remains unclear what the relative contribution of different community- and individual-level factors play when alcohol and marijuana use become more prevalent during late adolescence. The present study uses a large longitudinal sample of adolescents (Wave 1: N = 2017; 55% Female; 54.5% White, 22.3% Black, 8% Hispanic, 15% other) to evaluate the association and potential interactions between community- and individual-level factors and substance use from adolescence to young adulthood (Wave 1 to Wave 3 Age Mean [SD]: 16.7 [1.1], 18.3 [1.2], 19.3 [1.2]). Across three waves of data, multilevel modeling (MLM) is used to evaluate the association between community affluence and disadvantage, individual household socioeconomic status (SES, measured as parental level of education and self-reported public assistance) and self-reported childhood maltreatment with self-reported 12-month alcohol and 12-month marijuana use occasions. Sample-selection weights and attrition-adjusted weights are accounted for in the models to evaluate the robustness of the estimated effects. Across the MLMs, there is a significant positive association between community affluence and parental education with self-reported alcohol use but not self-reported marijuana use. In post hoc analyses, higher neighborhood affluence in older adolescents is associated with higher alcohol use and lower use in younger adolescents; the opposite association is found for neighborhood disadvantage. Consistent with past literature, there is a significant positive association between self-reported childhood maltreatment and self-reported 12-month alcohol and 12-month marijuana use. Results are largely consistent across weighted and unweighted analyses, however, in weighted analyses there is a significant negative association between community disadvantage and self-reported 12-month alcohol use. This study demonstrates a nuanced relationship between community- and individual-level factors and substance use during the transitional window of adolescence which should be considered when contextualizing and interpreting normative substance use during adolescence.

Adverse childhood experiences, antenatal stressful life events, and marijuana use during pregnancy: A population-based study.

Cumulative exposure to adverse childhood experiences (ACEs) and antenatal stressful life events (ASLEs) are independently associated with marijuana use during pregnancy. However, research has not explored how both exposures may influence marijuana use jointly. Assessing the joint associations of ACEs and recent ASLEs on marijuana use can identify people who may benefit from early intervention. Data come from the Nevada Pregnancy Risk Assessment Monitoring System, 2017-2020 (N = 2483). We assessed eight measures of ACEs before age 18 and fourteen measures of ASLEs twelve months before giving birth. Generalized estimating equations estimated the direct and joint associations (additive and multiplicative interaction) of ACEs and ASLEs on marijuana use during pregnancy. 9.8% used marijuana during the most recent pregnancy. Compared to people who reported no ACEs, those reporting 1 ACE (adjusted prevalence ratio[aPR] = 1.96, 95% confidence interval [CI] = 1.30-2.94), 3 ACEs (aPR = 3.58, 95%CI = 2.69-4.77), and 4+ ACEs (aPR = 3.67, 95%CI = 2.36-5.72) were more likely to use marijuana. Compared to people reporting no ASLEs, those reporting 4+ ASLEs (aPR = 3.12, 95% CI = 1.64-5.92) were more likely to use marijuana. There was evidence of interaction for high ACE and ASLE exposure on an additive scale. ACEs and ASLEs were independently associated with marijuana use during pregnancy, and there was evidence of additive interaction. Screening for ACEs and ASLEs during pregnancy, referrals to appropriate behavioral health services, and trauma-informed approaches are important to address marijuana use during pregnancy.

Association of self-reported use of cannabis for the purpose of improving physical, mental, and sleep health with problematic cannabis use risk.

BACKGROUND: Little is known about health-focused cannabis use purposes and their associations with risk for problematic cannabis use. This cross-sectional study examined three broad cannabis use purposes and association with risk for problematic use among young adult cannabis users who report using for > 1 health reasons. METHODS: Young adults completed an electronic survey as part of an ongoing study on substance use and health. Those who self-reported past 6-month use of ≥ 1 cannabis products-smoking, vaping, dabbing, eating, and blunts-were included in the analysis. Their purposes for use were coded into three categories: sleep, mental, and physical health. Problematic cannabis use (PCU) was measured with the three-level structure Cannabis Abuse Screening Test (CAST-3). Adjusted multivariable regression models were used to estimate use purposes associated with with problematic cannabis use at the p < 0.05 level. RESULTS: Participants (n = 954) were mostly female (63.94%) and Hispanic (54.93%). Mental health was the most endorsed reason (73.38%) for use among study sample. Among participants, 36.3% were classified as being at severe risk (CAST-3 score ≥ 8). There was a significant association between PCU risk and reporting cannabis use for physical health (p < 0.01), mental health, and sleep health (p < 0.01) purposes. Those who used cannabis for physical heath purposes had about four times the risk (adjusted relative risk ratio (aRRR) = 4.38, 95% CI = 3.06-6.69), those who used for mental health had about three times the risk (aRRR = 2.81, 95% CI = 1.86-4.72), and those who used for sleep health had almost two times the risk (aRRR = 1.83, 95% CI = 1.17-2.63) for severe PCU. CONCLUSION: All cannabis use purposes examined increased risk of problematic cannabis use. Physical health use purposes was associated with highest PCU risk. This study demonstrates the risk for cannabis use disorder associated with self-medicating with cannabis.

Cannabis Consumers' View of Regulated Access to Recreational Cannabis: A Multisite Survey in Switzerland.

INTRODUCTION: There is considerable effort in legalizing recreational use of cannabis globally. The successful implementation of a program of regulated access to recreational cannabis (PRAC) depends on the consumers' engagement. The aim of this study was to examine the acceptability of twelve different regulatory aspects by cannabis users including those obtaining cannabis from the illicit market and vulnerable populations such as young adults and problematic users. METHODS: The current study is a multisite online survey conducted in Switzerland. A total of 3,132 adult Swiss residents who consumed cannabis within the previous 30 days represented the studied population. Mean age was 30.5 years, 80.5% were men, and 64.2% of the participants stated that they always or often obtain cannabis from the illicit market. We described consumers' acceptability of twelve regulatory aspects concerning THC content control, disclosure of sensitive personal data, security aspects, and follow-up procedures by applying descriptive statistics and multiple regression models. RESULTS: THC content regulation showed most discrepancy with 89.4% of the participants stating to engage in a PRAC if five different THC contents were available as compared to 54% if only 12% THC was available. The least accepted regulatory aspect was disposal of contact details with an acceptability rate of 18.1%. Consumers mainly obtaining cannabis from the illicit market, young adults, and problematic users showed similar acceptability patterns. Participants obtaining cannabis from the illicit market were more likely to engage in a PRAC if five different THC contents were available as compared to participants obtaining cannabis from other sources (OR 1.94, 95% CI: 1.53-2.46). CONCLUSION: A carefully designed PRAC that takes into account the consumers' perspective is likely to transfer them to the regulated market and to engage vulnerable populations. We cannot recommend the distribution of cannabis with only 12% THC content as this is unlikely to engage the target population.

High on Hookah: Smoking Marijuana from a Hookah among Adults in the United States, Population Assessment of Tobacco and Health Study, 2015-2019.

Background: This study aimed to examine the trend and factors associated with smoking marijuana from a hookah device among US adults. Methods: Data were drawn from the Population Assessment of Tobacco and Health (PATH) Study, an ongoing nationally representative, longitudinal cohort study of the US population. Adult respondents who self-reported ever smoking marijuana from a hookah at Wave 5 (2018-19, N = 34,279 US adults) were included in the multivariable analysis. Trend analysis also was conducted using National Cancer Institute JoinPoint software from 2015 to 2019. Results: In 2018-19, an estimated 23.6 million (9.7%) US adults reported ever smoking marijuana from a hookah. Trend analysis showed the increasing prevalence of using marijuana from a hookah device from Wave 3 (8.9%) to Wave 5 (9.7%; time trend p = .007). Adults aged 25-44 years old (vs. 18-24; 13%, vs. 9%), whites (vs. Black; 11% vs. 9%), and lesbian, gay, or bisexual (LGB vs. straight; 17% vs. 9%) were more likely to report ever smoking marijuana from a hookah (ps < .05). Former and current users (vs. never users) of e-cigarettes (19% and 25% vs. 5%), cigarettes (11% and 21% vs. 2%), cigars (17% and 27% vs. 3%), and pipes (21% and 33% vs. 7%) and past 30-day blunt users (vs. non-users; 39% vs. 9%) were more likely to ever smoke marijuana from a hookah (ps < .05). Pregnant women (vs. non-pregnant; 12.8% vs. 8.6%; p = 0.03) were more likely to smoke marijuana from a hookah. Conclusions: Smoking marijuana from a hookah device is prevalent among young adults in the US, especially among vulnerable populations, and has increased significantly from 2015-2019.