"I don't need my kid to be high": prioritizing harm reduction when using cannabis during pregnancy.

BACKGROUND: Cannabis is the most common illicit substance used in pregnancy. As use continues to increase, understanding peoples' behaviors surrounding cannabis use during pregnancy is needed to improve maternal and child health outcomes. The aim of this study was to better understand pregnant individuals' perceptions and knowledge of cannabis use and use patterns as well as the social and environmental factors that may influence their use. METHODS: We conducted interviews with 19 participants between December 2022 and March 2023. Individuals self-identified as BIPOC (Black, Indigenous, People of Color), were over 21 years of age, spoke English or Spanish, resided in California, and had used cannabis during pregnancy in the last 0-2 years. Using qualitative, constructivist grounded theory methods, we analyzed the contexts that contributed to participants' lived experiences surrounding cannabis use behaviors during pregnancy. RESULTS: Participants reported making conscious decisions to responsibly manage their cannabis use during pregnancy to minimize potential harm to the fetus. Participants prioritized making what they perceived to be safer adjustments to their use of cannabis: (1) changing the amount of cannabis used, (2) changing the types of cannabis products used, and (3) changing sources of cannabis procurement. DISCUSSION: Our findings show that pregnant individuals are seeking information about safe cannabis use beyond medical supervision and are open to altering their cannabis consumption patterns. However, they are unable to find trustworthy and evidence-based harm reduction practices which can be implemented to mitigate harm to their unborn children. A harm reduction approach is needed in the field of maternal cannabis use to promote positive maternal and fetal health outcomes. CONCLUSIONS: More data is needed on comprehensive harm reduction approaches to cannabis use during pregnancy. This requires implementation of education on these topics in healthcare settings presented by prenatal care clinicians.

Dose Estimation Utility in a Population Pharmacokinetic Analysis of Inhaled Δ9-Tetrahydrocannabinol Cannabis Market Products in Occasional and Daily Users.

BACKGROUND: Unusually high variability in blood Δ9-tetrahydrocannabinol (THC) concentrations have been observed in subjects inhaling similar cannabis products over similar time periods when consumption is ad libitum. This makes simple gravimetric dose estimation a poor predictor of THC exposure. Population pharmacokinetic analyses of blood THC concentration versus time data are routinely used to estimate pharmacokinetic parameters. The aim of this study was to estimate the inhaled dose of THC in occasional and daily users of high potency market cannabis. METHODS: Blood THC concentrations were measured for 135 minutes from 29 participants who either smoked high concentration flower or inhaled concentrates ad libitum during a 15-minute session. Frequent blood samples were obtained over the following 135 minutes. RESULTS: The estimated central and rapidly equilibrating volumes of distribution of a 3-compartment model were 19.9 ± 1.2 and 51.6 ± 4.7 L whereas the intercompartmental clearances were 1.65 ± 0.14 and 1.75 ± 0.10 L/min, respectively. Covariate-adjusted analysis revealed that the estimated inhaled THC dose was considerably less among occasional users compared with daily users. CONCLUSIONS: Three-compartment pharmacokinetics of THC did not differ among the 3 user groups, and the early phase (first 135 minutes postinception of inhalation) kinetics were similar to those previously described after smoking low potency cannabis products. Therefore, inhaled THC dose can be estimated from pharmacokinetic data and covariate-driven adjustments can be used to estimate THC doses, based on the participant cannabis usage pattern (occasional versus daily), improving the accuracy of THC exposure estimates compared with those derived from weighed THC content alone.

The many forms of cannabis use: Prevalence and correlates of routes of administration among nationally representative samples of U.S. adult and adolescent cannabis users.

BACKGROUND: Cannabis legalization has made cannabis accessible via dispensaries which sell a wide variety of cannabis products. Importantly, the various routes of administration are associated with differing consequences. As such, it's crucial to understand the prevalence and correlates of different cannabis products. Unfortunately, research has yet to examine the prevalence of certain forms of cannabis use, and little is known about the prevalence of using multiple forms of cannabis, and whether individual-level factors are associated with using different forms of cannabis. METHODS: The current study uses data from the 2022 National Survey on Drug Use and Health (NSDUH) to examine the prevalence and correlates of eight different types of cannabis use (smoking, vaping, eating/drinking, dabbing, drops/lozenges, topical, pills, and other), as well as a cannabis variety scale, on samples of adult and adolescent cannabis users. RESULTS: The results suggest that certain routes of administration are more prevalent than others and that these patterns are fairly consistent between adults and adolescents. Similarly, for both adults and adolescents, the majority of users used more than one cannabis product. Lastly, several individual-level factors are associated with the various forms of cannabis use and many of these associations vary by the route of administration examined. CONCLUSIONS: The results of the current study demonstrate that there are differences among cannabis users. If we can develop an understanding of who uses the various forms of cannabis, we could identify the users of the more dangerous forms and provide these individuals with more resources.

Utility of a brief measure of cannabis demand: Day-level associations with cannabis use.

BACKGROUND: Cannabis demand (i.e., relative value) is usually assessed as a trait-level risk-factor for cannabis use and consequences. This study examined within-person variability in day-level intensity (i.e., amount consumed at zero cost) and Omax (i.e., maximum cannabis expenditure) and tested hypotheses that demand would be positively associated with day-level cannabis use. METHODS: Young adults (n=85) reporting past-month simultaneous alcohol and cannabis use completed two daily surveys for 30 days. Morning surveys assessed prior-day cannabis use and evening surveys assessed day-level demand (i.e., intensity, Omax). Multilevel models tested day-level effects of intensity and Omax on any cannabis use and flower use frequency and quantity (i.e., grams). RESULTS: Approximately 52 % and 46 % of variability in intensity and Omax, respectively, was due to within-person change. At the day-level, higher intensity and Omax were associated with higher likelihood of any cannabis use, regardless of formulation; Omax was associated with use of flower in particular; and intensity was associated with the highest quantity of use. At the person-level, only Omax was associated with flower use likelihood, and only intensity was associated with flower quantity across days. CONCLUSIONS: Cannabis demand demonstrated day-to-day variability, conceivably in response to various internal states and external factors. Intensity and Omax were related to elevated likelihood of using any cannabis, particularly flower, at the day-level. Overall, these data illustrate the validity and utility of brief cannabis demand measures, which might be used to further understand cannabis' reinforcing value at a fine-grained level.

Trends in cannabis and tobacco co-use in the United States, 2002-2021.

BACKGROUND: Co-use of cannabis and tobacco poses greater risks than use of either substance individually and may be becoming more prevalent with increasing cannabis medicalization and legalization. We aimed to assess trends in the prevalence of cannabis and tobacco co-use between 2002-2019 and identify the updated prevalence and correlates of co-use in 2021 among US adults. METHODS: This study used data from the 2002-2021 National Survey on Drug Use and Health, a nationally-representative, cross-sectional survey in the US. We assessed prevalence trends in past 30-day cannabis and tobacco co-use, exclusive cannabis use, and exclusive tobacco use overall and by sociodemographic group using joinpoint regression. Additionally, multinomial models identified correlates of co-use in 2021. RESULTS: In 2021, the weighted prevalence of cannabis and tobacco co-use was 6.38 %, the weighted prevalence of exclusive cannabis use was 7.28 %, and the weighted prevalence of exclusive tobacco use was 15.01 %. From 2002 to 2019, the prevalence of past 30-day co-use of cannabis and tobacco increased significantly (annual percentage change [APC]: 1.9 [1.4-2.4], P<0.05) among the overall US population. All subgroups of sex, race/ethnicity, and age also saw significant increases in co-use, other than young adults ages 18-25, for whom co-use was stagnant between 2002-2014 and then decreased significantly between 2014-2019. CONCLUSION: This study identified increasing cannabis and tobacco co-use overall and among most sociodemographic strata in the US. As cannabis policy changes rapidly, co-use requires closer surveillance, clinical screening, and dedicated research.

Tobacco-cannabis co-use among cancer patients and survivors: findings from 2 US cancer centers.

BACKGROUND: Cannabis use is prevalent among cancer patients and survivors and may provide some therapeutic benefits for this population. However, benefits may be attenuated when cannabis is co-used with tobacco, which is associated with more severe tobacco and cannabis use and adverse outcomes in noncancer populations. We compared cannabis use, primary mode of use, and therapeutic and/or nontherapeutic use among 3 groups of patients and survivors based on cigarette smoking status. METHODS: Survey data was collected from patients and survivors with cancer (n = 1732) at 2 US National Cancer Institute-designated cancer centers in states with varying cannabis regulatory policy. Prevalence of cannabis use (prior to diagnosis, after diagnosis, before treatment, after treatment), primary mode of use, and therapeutic and/or nontherapeutic use were assessed by cigarette smoking status (current, former, never) within and across centers using weighted bivariate analyses and multivariable logistic regression, controlling for demographic and clinical variables. RESULTS: Current cigarette use was associated with greater rates of cannabis use prior to diagnosis, after diagnosis, during treatment, and after treatment within each center (all P < .001) and in pooled analyses across centers (all P < .001). Primary mode of use, knowledge of cannabis products, and therapeutic and/or nontherapeutic use also statistically differed by tobacco status and study site. CONCLUSIONS: Results illustrate the importance of conducting assessments for both tobacco and cannabis use among cancer patients during and after cancer treatment, regardless of the cannabis regulatory environment. Given previous data indicating harms from co-use and continued tobacco use during cancer treatment, this issue introduces new priorities for cancer care delivery and research.

Associations between Cannabis Consumption Methods and Cannabis Risk Perception.

Given diversified cannabis products, we examined associations between cannabis consumption methods and cannabis risk perception of smoking cannabis 1-2 times a week. Using the 2022 U.S. National Survey on Drug Use and Health data (N = 12,796 past-year adult cannabis users; M = 6127 and F = 6669), we used multinomial and binary logistic regression models. Smoking was the most prevalent method, followed by eating/drinking, vaping, and dabbing. One-half of cannabis users reported no perceived risk of smoking cannabis 1-2 times a week, 37.5% perceived slight risk, 9.2% moderate risk, and 2.9% great risk. Those with moderate or great risk perception had a lower likelihood of using 4+ methods of consumption (e.g., RRR = 0.40, 95% CI = 0.20, 0.77 for great risk perception). Any perceived risk was associated with higher odds of edibles/drinks only (e.g., aOR = 2.81, 95% CI = 1.43, 5.54 for great risk perception). Along with medical use and CUD, sociodemographic factors, mental illness, and other substance use were also significant correlates of cannabis consumption methods. Understanding the varying risk perceptions associated with different consumption methods is needed for harm reduction initiatives. More research is needed on cannabis products, particularly edibles/drinks and dabs/concentrates, to better understand the potential risks associated with them.

Dual Use of Cannabis with Tobacco Is Associated with Increased Sugary Food and Drink Intake in Young People.

Rates of cannabis initiation among teenagers and young adults are increasing. Further, the use of various forms of cannabis (smoked or vaped) with nicotine (dual use) is increasingly common among young people. The health effects of dual use are lesser known, particularly in the context of high-potency cannabis products and across different routes of administration, which is ominous in terms of predicting future health outcomes. There is a long history of cannabis use being associated with decreased activity and increased snacking, both of which could portend an increased risk of metabolic and cardiovascular disease, particularly when these habits begin during formative years. However, modern forms of cannabis may not have these same effects. Here, we assess whether cannabis use alone and dual use of cannabis with nicotine impact dietary and exercise habits in young people. An anonymous, social media-based survey was designed based on the UC San Diego Inhalant Questionnaire and published diet and exercise questionnaires. A total of 457 surveys were completed. Young sole cannabis users represented 29% of responders, 16% were dual users of cannabis and nicotine, and 55% were non-users of either drug. Although the sole use of cannabis was not associated with dietary or activity differences relative to non-users, dual users of cannabis and nicotine reported higher consumption of unhealthy sugars. This novel finding of dual use being associated with increased sugar intake in young people raises concerns for an increased risk of metabolic syndrome and cardiovascular disease in this population.

"To smoke feels gender": Exploring the transformative and emancipatory capacities of cannabis among transgender, non-binary and gender non-conforming (TGNC) youth.

BACKGROUND: Transgender, non-binary and gender non-conforming (herein, "TGNC") youth (15-24 years old) face overlapping minority stressors (e.g., gender discrimination, lack of access to gender-affirming care, rejection, violence) that contribute to mental health inequities. TGNC youth also use substances at higher rates when compared to cisgender youth, including some of the highest rates of cannabis use in Canada. METHODS: This community-based participatory research study provides an in-depth qualitative, photovoice-based analysis examining how cannabis use features within the gender experiences of a sample of TGNC youth in British Columbia (BC). We conducted in-depth, semi-structured interviews with 27 TGNC youth (15-24 years old) from across British Columbia. Interviews were designed to elicit discussions about the photos youth had taken as well as various gender and mental health experiences related to their cannabis use. Analysis and identification of emergent themes was guided by social constructivist grounded theory as well as queer and trans theorizing and informed by community-based research approaches through regular meetings with our team's Substance Use Beyond the Binary Youth Action Committee comprised of TGNC youth who use substances. RESULTS: Three overarching themes pertaining to cannabis use and gender experiences amongst TGNC youth in our study were generated. First, participants used cannabis purposefully and strategically to enact diverse gender expressions and embodiments. Second, participants leveraged cannabis to support introspection whilst mobilizing identity discovery and development. Finally, participants mobilized cannabis as a vehicle for accessing moments of gender euphoria and affirmation. CONCLUSIONS: These findings identify how some TGNC youth use cannabis to purposefully and strategically facilitate their mental health, well-being, identity development and self-expression. This research reveals critically important experiential and embodied dimensions of cannabis use that have not historically been considered in cannabis-related policy and the provision of care, including mental health and substance use-related care.

Depressive symptoms predict cannabis vaping initiation among young adults.

BACKGROUND: Young adults in the United States, including college students, have the highest prevalence of cannabis use compared with other age groups. Although cannabis vaping is increasingly prevalent during young adulthood, little is known about factors contributing to the onset of cannabis vaping during this developmental period. METHODS: Participants were 3085 cannabis vaping naïve young adults aged 18-25 years (M = 20.60; SD = 1.80), initially recruited from 24 Texas colleges and participating in a multi-wave, longitudinal study. A survival analysis was conducted to determine if participants reporting elevated depressive symptoms had an increased risk of onset of cannabis vaping over six follow-up waves from fall 2015 to spring 2019 compared to their peers with lower levels of depressive symptoms. Socio-demographic characteristics, time-varying past 30 day substance use, and time-varying peer nicotine vaping were included as covariates in the model. RESULTS: Twenty-five percent of participants initiated cannabis vaping during the four-year study period, with stable initiation rates from 2015 to 2017 but doubling from 2017 to 2019. Analyses, both unadjusted and adjusted for study covariates, indicated that elevated depressive symptoms were significantly associated with an increased risk of cannabis vaping initiation. CONCLUSION: Findings indicate that initiation of cannabis vaping during young adulthood is common, and particularly more likely among those with greater depressive symptoms, thus underscoring the importance of prevention programs that include mental health support services tailored to young adults.

Association between cannabis use and nicotine use persistence among adolescents.

INTRODUCTION: Prospective associations of adolescent cannabis use with nicotine use persistence are not well characterized but are important for informing prevention and policy. This study examined the association of 4 types of cannabis product use with subsequent persistent nicotine product use among adolescents. METHODS: We used prospective data from an adolescent cohort (14-17 years) from Southern California surveyed at baseline and at approximately 6-month follow-up (2022-2023). We incorporated three mutually non-exclusive analytic samples comprised of individuals with baseline past 6-month use of: (1) any nicotine product (N=308 [mean[SD] age = 16.3[0.6] years]), (2) e-cigarettes (n = 276), and (3) any combustible tobacco product (n = 137). Baseline past 6-month cannabis smoking, vaping, edible use, cannabidiol [CBD] or hemp product use, and any cannabis product use (yes/no) were separately modeled as predictors of past 6-month persistent use of any nicotine products, e-cigarettes, and combustible tobacco at follow-up. RESULTS: Baseline use of any cannabis product was associated with increased odds of persistent use of e-cigarettes or any nicotine product (adjusted odds ratio[OR] range: 1.96-2.66). Cannabis smoking was positively associated with persistent any nicotine product use (adjusted OR=2.19, 95 % CI=1.20-4.02). Cannabis smoking, vaping, and edible use predicted persistent use of e-cigarettes (adjusted OR range: 2.22-2.79). Cannabis product use did not predict combustible tobacco use persistence. Associations of CBD/hemp product use with nicotine use persistence outcomes were all non-significant. CONCLUSIONS: Adolescents who use cannabis may be at elevated risk for persistent nicotine use.

Products and patterns through which adolescents, young adults, and adults initiate co-use of tobacco and cannabis.

BACKGROUND: Co-use of tobacco and cannabis is common. However, few studies have examined the temporal sequencing through which individuals initiate co-use, and how these patterns vary across age. This study addresses this gap by examining the specific products and temporal sequencing through which adolescents, young adults, and adults initiate co-use of tobacco and cannabis. Among adolescents, young adults, and adults who co-used tobacco and cannabis in the past 30 days, we examined (a) whether tobacco or cannabis was used first in their lifetime and (b) which specific tobacco or cannabis product (e.g., nicotine e-cigarettes, cannabis edibles) was the first used. METHODS: Data were from a cross-sectional national survey (N = 6,131, 13-40 years old) in which participants reported ever use, past-30-day-use, and order of use for 17 different tobacco and cannabis products. Results were analyzed overall and by age group (13-20; 21-24; 25-40). RESULTS: 38.4% of participants reported use of both tobacco and cannabis in the past 30 days. Among these participants, 70.9% used tobacco first in their lifetime (66.6% < 21; 71.7% 21-24; 76.6% > 24). Approximately 60% of participants who initiated co-use with tobacco reported nicotine e-cigarettes as their first tobacco product (63.3% < 21; 66.7% 21-24; 49.6% > 24). CONCLUSIONS: The majority of participants who used both tobacco and cannabis used tobacco first in their lifetime, and nicotine e-cigarettes were the most common form of tobacco initiation, particularly among adolescents and young adults. Findings emphasize the need for co-use prevention programs to target common products of initiation.

Day-level correlates of nicotine and cannabis vaping among young adults in the United States.

Over the past two decades, vaping has increased in popularity among young adults. Yet, little is known about the daily activities or contexts associated with vaping behavior. The current study examined whether nicotine vaping, cannabis vaping, and dual-substance vaping (i.e., vaping both nicotine and cannabis) fluctuated in tandem with alcohol use and activities on a given day. Data came from the Monitoring the Future Vaping Supplement, a national sample of U.S. young adults. A subsample of people who vaped (N = 330 people) completed up to 14 daily surveys (N = 3686 days). Multilevel logistic regressions separated within- and between-person characteristics and controlled for combustible nicotine and cannabis use, day of the week, and demographic characteristics. Weights accounted for the complex survey design and attrition. Results demonstrated that nicotine vaping was more common on days when participants drank moderately or binge drank (compared to not drinking), used cigarettes, and spent more time at bars and parties than usual. Cannabis vaping on a given day was more likely on days when young adults drank moderately and spent more time at bars/parties. Likewise, moderate drinking, spending more time at bars/parties than usual, and spending less time on schoolwork than usual was associated with a higher likelihood of dual-substance vaping on a given day. Our findings highlight when young adults vape nicotine and cannabis, while also identifying proximal correlates of these behaviors to inform intervention and cessation efforts.

Intention to quit or reduce e-cigarettes, cannabis, and their co-use among a school-based sample of adolescents.

INTRODUCTION: Little is known about the prevalence and predictors of adolescents' intention to quit or reduce use of e-cigarettes and/or cannabis. METHODS: Frequencies of intention to change (quit, reduce) e-cigarettes and/or cannabis use were examined among 23,915 surveyed middle and high school students with sole and co-use. Predictors of intention to change were identified via LASSO/multilevel logistic regression. RESULTS: Among those with sole e-cigarette use (n = 543), 40.9 % intended to quit and 24.1 % intended to reduce; non-daily e-cigarette use predicted intention to quit and reduce e-cigarettes (p's < 0.03). Among those with sole cannabis use (n = 546), 10.6 % intended to quit and 25.1 % intended to reduce; absence of cannabis cravings predicted intention to reduce cannabis use (p < 0.01). Among those with co-use (n = 816), 26.2 % intended to either quit or reduce (quit/reduce) both substances, 27.5 % intended to quit/reduce e-cigarettes only, and 6.9 % intended to quit/reduce cannabis only. No predictors emerged for intention to change e-cigarette use among those with co-use (p's > 0.09), but younger age, lack of poly-tobacco use, and lack of cannabis craving predicted intention to quit/reduce cannabis use (p's < 0.04). CONCLUSIONS: More than half of adolescents with past-month e-cigarette use, regardless of concurrent cannabis use, expressed interest in changing their use. However, only heaviness of e-cigarette use emerged as a predictor of intention to change suggesting. While fewer students expressed interest in changing their cannabis use, cannabis cravings and poly-tobacco use predicted intent to change. Overall, findings emphasize the need to tailor interventions towards adolescents engaging in more problematic substance use patterns.

Cannabis policy liberalization is only associated with increased blunt use if states lack strong tobacco control.

INTRODUCTION: Co-use of tobacco and cannabis has long been an issue for prevention and intervention efforts targeting these substances. Blunt use-cannabis inside a cigar wrapper-has been a consistent mode of cannabis consumption since the 1990s. Since then, both tobacco control and cannabis policies have changed considerably. This paper examines the influence of tobacco taxes and smoke-free policies as well as medical and recreational cannabis policies on blunt use among young people. METHODS: Combining state-level tobacco control and cannabis policy data with the restricted-access youth cohort of the Population Assessment of Tobacco and Health (PATH) study, we use multilevel logistic regression models to examine the impact of these policies on past-year blunt use. RESULTS: While we found a main effect whereby both legal medical and recreational cannabis policies are associated with higher odds of blunt use among youth, interaction effects demonstrate that this association only emerges in states lacking a comprehensive tobacco smoke-free policy. In states with smoke-free policies, we found no significant associations between cannabis policy and odds of blunt use. CONCLUSIONS: Denormalization through smoke-free policies may mitigate the effects of recreational and medical cannabis policies on blunt use. Smoke-free policies represent a possible cost-effective mechanism to curb the co-use of tobacco and cannabis in the form of blunts. States with medical and recreational cannabis policies may benefit from greater prevention efforts for young people specifically focused on blunt use, especially in states that do not have strong tobacco control.

A Bivariate Twin Study of Lifetime cannabis Initiation and Lifetime Regular Tobacco Smoking Across Three Different Countries.

Regular cigarette smoking and cannabis consumption are strongly positively related to each other, yet few studies explore their underlying variation and covariation. We evaluated the genetic and environmental decomposition of variance and covariance of these two traits in twin data from three countries with different social norms and legislation. Data from the Netherlands Twin Register, FinnTwin12/16, and the Minnesota Center for Twin Family Research (total N = 21,617) were analyzed in bivariate threshold models of lifetime regular smoking initiation (RSI) and lifetime cannabis initiation (CI). We ran unstratified models and models stratified by sex and country. Prevalence of RSI was lowest in the Netherlands and prevalence of CI was highest in Minnesota. In the unstratified model, genetic (A) and common environmental factors (C) contributed substantially to the liabilities of RSI (A = 0.47, C = 0.34) and CI (A = 0.28, C = 0.51). The two liabilities were significantly phenotypically (rP = 0.56), genetically (rA = 0.74), and environmentally correlated in the unstratified model (rC = 0.47and rE = 0.48, representing correlations between common and unique environmental factors). The magnitude of phenotypic correlation between liabilities varied by country but not sex (Minnesota rP ~ 0.70, Netherlands rP ~ 0.59, Finland rP ~ 0.45). Comparisons of decomposed correlations could not be reliably tested in the stratified models. The prevalence and association of RSI and CI vary by sex and country. These two behaviors are correlated because there is genetic and environmental overlap between their underlying latent liabilities. There is heterogeneity in the genetic architecture of these traits across country.

Changes in modes of cannabis consumption pre- and post-legalization and their correlates among adults in Ontario, Canada: 2017-2022.

Background: Despite an increase in the varieties of cannabis products available for consumption, limited evidence is available about the patterns of cannabis consumption methods before and after legalization.Objectives: To examine the changes in modes of cannabis use and their correlates among adults in Ontario, Canada both prior to and following cannabis legalization in 2018.Methods: Data were utilized from the 2017 to 2022 Centre for Addiction and Mental Health's (CAMH) Monitor study, a repeated cross-sectional survey of adults 18 years of age and older (n = 2,665; 56% male). The surveys employed a regionally stratified sampling design using computer-assisted telephone interviews and web surveys. Multinomial regression was performed to examine different modes of cannabis use.Results: The exclusive use of cannabis through ingestion methods increased from 4.0% in 2017 to 16.6% in 2022 (p < .001). However, the exclusive use of inhalation-based cannabis decreased from 49.4% in 2017 to 25.5% in 2022 (p < .001). Relative to inhalation-based modes, adults were about five times more likely to use ingestion-based modes in 2020 [RRR = 4.65 (2.94-7.35)] and 2022 [RRR = 4.75 (2.99-7.55)] than in 2019, after accounting for sociodemographic factors.Conclusions: Ingestion-based cannabis use among adults increased fourfold between 2017 and 2022, a period during which recreational cannabis use was legalized in Canada. The increase was especially evident after the legalization of cannabis edibles.

Hemp-based psychoactive use and risk among young adults: Trend theory, policy, and regulation beyond legality.

BACKGROUND: Hemp-based psychoactives comprise a burgeoning legal substance market with rising trends in use across the U.S. and Canada as well as parts of Europe. Currently, scant empirical research on the use of these Novel Psychoactive Substances (NPS) exists. By examining policy, market conditions, consumer uptake, and related risks, this research extends theory on drug trends by describing the regulatory environments that shape the emergence and popularity of psychoactive hemp-based products among young adults. METHODS: Relying on ethnographic fieldwork of hemp-based markets across 3 U.S. state hemp and cannabis policy contexts as well as in-depth interviews with 40 young adult cannabis consumers recruited across 10 U.S. states, we examined how regulatory conditions shape hemp-based psychoactive markets, trends in their use, and associated risks. RESULTS: Young adults are motivated to consume hemp-based psychoactives due to the regulatory and market environments that facilitate the production of highly potent products that are inexpensive and easily accessible. States that regulate hemp-based psychoactives as cannabis, do not provide hemp markets with a competitive advantage and as such see minimal uptake. In the absence of hemp specific policies, substantial variations in product potencies, insufficient dosing information, and unscrupulous product packaging practices may increase related risks. CONCLUSION: Trend theory provides insight into the complex relationships that exist between drug policy, markets, and the proliferation of legal highs. Understanding the contextual significance that both market and regulatory conditions have on legal drug production, distribution, and consumption may better inform approaches to reduce the risks commonly associated with novel psychoactive substances like hemp-based psychoactives.

Cannabinoids detected in exhaled breath condensate after cannabis use.

Cannabinoids can be detected in breath after cannabis use, but different breath matrices need to be explored as studies to date with filter-based devices that collect breath aerosols have not demonstrated that breath-based measurements can reliably identify recent cannabis use. Exhaled breath condensate (EBC) is an unexplored aqueous breath matrix that contains condensed volatile compounds and water vapor in addition to aerosols. EBC was collected from participants both before and at two time points (0.7 ± 0.2 h and 1.7 ± 0.3 h) after observed cannabis use. Eleven different cannabinoids were monitored with liquid chromatography tandem mass spectrometry. Five different cannabinoids, including Δ9-tetrahydrocannabinol (THC), were detected in EBC collected from cannabis users. THC was detected in some EBC samples before cannabis use, despite the requested abstinence period. THC was detected in all EBC samples collected at 0.7 h post use and decreased for all participants at 1.7 h. Non-THC cannabinoids were only detected after cannabis use. THC concentrations in EBC samples collected at 0.7 h showed no trend with sample metrics like mass or number of breaths. EBC sampling devices deserve further investigation with respect to modes of cannabis use (e.g, edibles), post use time points, and optimization of cannabinoid recovery.