Adult Cannabis Users Research Articles

Is cannabis a slippery slope? Associations between psychological dysfunctioning, other substance use, and impaired driving, in a sample of active cannabis users.

Cannabis is a gateway drug that can lead to the engagement of other substances. Psychological dysfunctioning and dependence have been highlighted as primary components to substance misuse. The purpose of this study was to investigate what aspects of cannabis use and psychological dysfunctioning are associated with the engagement of other substances and impaired driving. Subject to screening, 200 active adult cannabis users completed an online survey. Existing data involving non-cannabis users (N = 833) were also implemented as comparative data. The comparisons suggested that cannabis users were far more likely to have used other drugs in the past 12 months, compared to non-cannabis users. Bivariate correlations and multiple regressions indicated that the degree of cannabis use and likely dependence, psycho-social motives for using cannabis, emotion dysregulation, and psychopathology were positively associated with the frequency of using and driving on other substances. Finally, an ANOVA demonstrated that outside of age, there were no apparent differences in substance use behaviours, motives for using cannabis, and psychological dysfunction, between medicinal and black-market cannabis users. These findings highlight the potential benefits of incorporating self-regulatory concepts into current road safety initiatives, which aim to reduce the interconnected issue of substance misuse and impaired driving behaviours.

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.

W149 - Motives and Experiences of Psychedelic and Cannabis Co-Use Among Emerging Adult Cannabis Users: A Qualitative Analysis

W149 - Motives and Experiences of Psychedelic and Cannabis Co-Use Among Emerging Adult Cannabis Users: A Qualitative Analysis

W25 - Motives Behind Frequency of Cannabis Use: A Comparison of Regular and Occasional Young Adult Cannabis Users

W25 - Motives Behind Frequency of Cannabis Use: A Comparison of Regular and Occasional Young Adult Cannabis Users

Substance Use–Related Alterations of Social Decision Making in a Longitudinal Cohort of Young Adults

BackgroundSubstance use disorders are associated with severe negative social and health-related outcomes. Evidence has accumulated that long-term substance use is associated with alterations in social interaction behavior, which likely contributes to the vicious cycle of substance use disorder. However, little is known about whether these social problems originate from contextual factors only or also from the substance use itself—in other words, if they are predisposed or substance induced. MethodsWe studied the causation behind behavioral alterations of substance users over a 9-year period (ages 11–20 years) in an urban age cohort (N = 1002) with a high prevalence of substance use at age 20. We identified common substance use patterns using toxicological hair analysis, examined behavioral alterations with incentivized games, and used teacher assessments across different ages to determine the causes and effects that underlie substance use–related impairments in social interaction. ResultsWe found that opioid and stimulant users showed reduced prosocial behavior compared with nonusers, particularly in interpersonal trust and perspective taking (e.g., they were approximately 50% less likely to trust others). Our longitudinal analyses suggest a causal relationship between the nonmedical use of prescription opioids and impaired social behavior, whereas impairments among stimulant users seem to be partially predisposed. Moreover, women tended to be more severely affected by opioid use than men. However, no behavioral alterations were found among young adult cannabis or ecstasy users. ConclusionsHighly addictive substances such as opioids can impair users’ social behavior by undermining fundamental human interaction, thereby fueling a vicious cycle of substance use and social isolation.

A better high? Understanding mode preferences among young adult cannabis users.

A better high? Understanding mode preferences among young adult cannabis users.

Cannabis use, mental health, and problematic Internet use in Quebec: A study protocol.

Problematic Internet use is characterized by excessive use of online platforms that can result in social isolation, family problems, psychological distress, and even suicide. Problematic Internet use has been associated with cannabis use disorder, however knowledge on the adult population remains limited. In Quebec, cannabis use has significatively increased since 2018, and it is associated with various risks in public safety, public health, and mental health. This study aims to identify factors associated with problematic Internet use among adult cannabis users and to better understand their experiences. This project is a mixed explanatory sequential study consisting of two phases. Phase 1 (n = 1500) will be a cross-sectional correlational study using probability sampling to examine variables that predispose individuals to problematic Internet use, characteristics associated with cannabis use, Internet use, and the mental health profile of adult cannabis users in Quebec. Descriptive analyses and regression models will be used to determine the relationship between cannabis use and Internet use. Phase 2 (n = 45) will be a descriptive qualitative study in the form of semi-structured interviews aimed at better understanding the experience and background of cannabis users with probable problematic Internet use. The results of this study will support the development of public policies and interventions for the targeted population, by formulating courses of action that contribute to the prevention and reduction of harms associated with cannabis use and problematic Internet use. Furthermore, an integrated knowledge mobilization plan will aid in the large-scale dissemination of information that can result useful to decision-makers, practitioners, members of the scientific community, and the general population regarding the use of cannabis and the Internet.

Characteristics of Older Adult Cannabis Users

Characteristics of Older Adult Cannabis Users

Prevalence of Metabolic Syndrome Among Emerging Adult Cannabis Users by Race/Ethnicity: Analysis of the 2009-2018 National Health and Nutrition Examination Surveys

BackgroundAssociation between cannabis use and metabolic syndrome (MetS) has been documented; yet variation by race/ethnicity is understudied. We examined cannabis use and MetS by race/ethnicity among emerging adults (18-25 years old), the age group with the highest prevalence of cannabis use. MethodsData from 18- to 25-year-olds who completed the National Health and Nutrition Examination Survey (2009-2018) were analyzed. Current cannabis use was defined as ≥1 day of use in the last 30 days. MetS was defined using standardized guidelines as ≥3 of the following: elevated fasting glucose, triglycerides, systolic (SBP) and/or diastolic blood pressure (DPB), waist circumference, and/or low high-density lipoprotein (HDL) cholesterol. Logistic regression was used to examine the association between current cannabis use (CCU) and MetS, adjusting for covariates. ResultsOf 3974 respondents, 48.8% were female, mean age 21.1 years (SD = 2.4), 56.7% non-Hispanic white, 20.4% Hispanic, and 14.0% non-Hispanic black (NHB). Hispanics had the highest MetS prevalence (7.9%) and lowest CCU prevalence (23.5%). NHB had highest CCU prevalence (33.4%, P < .0001) and lowest MetS prevalence (4.8%, P = .2543). CCUs had a higher mean SBP (P = .020) and Hispanics (P = .002) than never users. Conversely, NHB CCUs exhibited lower mean SBP than NHB never users (P = .008). CCUs had 42% reduced odds of MetS than never users (AOR: 0.58, 95% CI: 0.35-0.95). Among NHB, CCUs had 78% lower likelihood of having MetS than never users (AOR: 0.22, 95% CI: 0.06-0.81). ConclusionsCannabis use impacts MetS and blood pressure differently by race/ethnicity. Current cannabis use was associated with lower odds of MetS overall and among NHB. Further research is warranted to investigate how administration routes, dosages, and usage duration affect MetS.

Simultaneous Cannabis and Alcohol Use among Medical Cannabis Patients

Background: During the past two decades of cannabis legalization, the prevalence of medical cannabis (MC) use has increased and there has also been an upward trend in alcohol consumption. As less restricted cannabis laws generate more adult cannabis users, there is concern that more individuals may be simultaneously using medical cannabis with alcohol. A few studies have examined simultaneous use of medical cannabis with alcohol, but none of those studies also assessed patients’ current or previous non-medical cannabis use. This paper explores simultaneous alcohol and medical cannabis use among medical cannabis patients with a specific focus on previous history of cannabis use and current non-medical cannabis use. Methods: A retrospective cohort study of MC patients (N = 319) from four dispensaries located in New York. Bivariate chi-square tests and multivariable logistic regression are used to estimate the extent to which sociodemographic and other factors were associated with simultaneous use. Results: Approximately 29% of the sample engaged in simultaneous use and a large share of these users report previous (44%) or current (66%) use of cannabis for non-medical purposes. MC patients who either previously or currently use cannabis non-medicinally, men, and patients using MC to treat a pain-related condition, were significantly more likely to report simultaneous alcohol/MC use. Conclusions: Findings indicate that there may be differential risks related to alcohol/MC use, which should be considered by cannabis regulatory policies and prevention/treatment programs. If patients are using cannabis and/or alcohol to manage pain, clinicians should screen for both alcohol and cannabis use risk factors.

Association Between Cannabis Use and Opioid Consumption, Pain, and Respiratory Complications After Surgery: A Retrospective Cohort Analysis.

Cannabis is a widely used illicit drug with effects on different pain pathways. However, interactions between cannabis and postoperative pain are unclear. Cannabis smoking also affects the lungs, but the impact of cannabis use on postoperative pulmonary complications is unknown. We hypothesized that preoperative cannabis use in adults having elective surgery is associated with higher postoperative opioid consumption. Secondarily, we tested the hypothesis that cannabis use is associated with higher pain scores, hypoxemia (oxygen saturation [Sp o2 ]/fraction of inspired oxygen [F io2 ] ratio), and higher postoperative pulmonary complications compared to nonuse of cannabis. In this retrospective study, we included adult patients who had elective surgeries at Cleveland Clinic Main Campus between January 2010 and December 2020. The exposure was use of cannabis within 30 days before surgery, and the control group never used cannabis. Patients who had regional anesthesia or chronic pain diagnosis were excluded. The primary outcome was postoperative opioid consumption; 3 secondary outcomes were time-weighted average (TWA) postoperative pain score, TWA Sp o2 /F io2 ratio, and composite of pulmonary complications after surgery. We assessed the association between cannabis use and opioid consumption during the first 24 postoperative hours using linear regression on log-transformed opioid consumption with a propensity score-based method (inverse probability of treatment weighting [IPTW]) adjusting for confounders. We further adjusted for imbalanced confounding variables after IPTW was applied. In total, 1683 of 34,521 patients were identified as cannabis users. Cannabis use was associated with increased opioid consumption, with an adjusted ratio of geometric means (95% confidence interval [CI]) of 1.30 (1.22-1.38; P < .0001) for cannabis users versus nonusers. Secondarily, (1) cannabis use was associated with increased TWA pain score, with a difference in means of 0.57 (95% CI, 0.46-0.67; P < .0001); (2) cannabis use was not associated with TWA Sp o2 /F io2 , with an adjusted difference in means of 0.5 (95% CI, -3.1 to 4.2; P = .76); and (3) cannabis use was not associated with a collapsed composite of pulmonary complications, with estimated odds ratio of 0.90 (95% CI, 0.71-1.13; P = .34). Adult cannabis users undergoing surgeries were found to have significantly higher postoperative opioid consumption and pain scores than nonusers. Cannabis use did not have a clinically meaningful association with hypoxia or composite pulmonary complications.

Do anxiety symptoms and coping motives serially mediate the association between psychotic-like experiences and cannabis-related problems in undergraduate recent cannabis users?

Many Canadian emerging adults (ages 18–25 years) use cannabis, with 60 % of past-three-month users experiencing one or more cannabis-related problems (i.e., adverse consequences of use). While psychotic-like experiences (PLEs) and cannabis problems overlap, little is known about the mechanisms explaining this link. One hypothesis is that PLEs are distressing and give rise to anxiety, with which emerging adults attempt to cope through increased cannabis use, in turn increasing their risk for cannabis-related problems. We tested a chained-mediational model to determine if anxiety and coping-with-anxiety motives for cannabis use sequentially mediated the link between PLEs and cannabis problems in emerging adult undergraduates; a conditional process model tested for moderation by sex. Emerging adult cannabis users (N = 413; mean [SD] age = 19.1 [1.5] years; 71.9 % female) from five Canadian universities provided cross-sectional, self-report survey data in fall 2021. Validated measures of PLEs, anxiety, cannabis coping-with-anxiety motives, and cannabis-related problems were administered. Path analyses supported the hypothesized chained mediational indirect effect (b = 0.027, 95 % bootstrap CI [0.012, 0.050]). No direct effect was found (p =.698), suggesting that the PLEs-to-cannabis problems association is fully explained by anxiety and cannabis coping-with-anxiety motives. Inconsistent with hypotheses, mediation did not depend on sex (95 % CIs crossed zero); therefore, anxiety and cannabis coping-with-anxiety motives explain the link between PLEs and cannabis problems in emerging adults regardless of their sex. Results highlight anxiety and cannabis coping-with-anxiety motives as potentially important intervention targets in cannabis-using emerging adults with PLEs, possibly preventing the development/worsening of cannabis-related problems.

Pre-Post Cannabis Legalization for Adult Use: A Trend Study of Two Cohorts of Young Adult Cannabis Users in Los Angeles

ABSTRACT Cannabis was legalized for adult use in California in 2016 for individuals 21 and older. Among 18–20-years-olds, who can possess cannabis legally as medical cannabis patients (MCP) but not as non-patient cannabis users (NPU), the impact of adult use legalization (AUL) on cannabis and other substance use is unknown. Two cohorts of 18–20-year-old cannabis users (MCP and NPU) were surveyed, one in 2014–15 (n = 172 “pre-AUL”) and another in 2019–20 (n = 139 “post-AUL”), using similar data collection methods in Los Angeles, California. Logistic and negative binomial regressions estimated cohort and MCP differences for cannabis and other drug use outcomes based on past 90-day use. In both pre- and post-AUL cohorts, MCP were more likely to self-report medical cannabis use (p < .001) while the post-AUL cohort reported greater use of edibles (p < .01), but fewer mean days of alcohol (p < .05) and cigarette (p < .01) use in multivariate models. Notably, frequency of cannabis use (days or hits per day) did not significantly differ between the pre- and post-AUL cohorts, except for greater use of edibles, despite potentially greater access to cannabis.

15 Associations Among Subjective Cognitive Function and Cannabis Use in Older Adults

Objective:Cannabis use in older adults is becoming increasingly common as cannabis becomes both more socially acceptable and legally permissible, whether for medical or recreational purposes. While previous research has found harmful effects of cannabis use on cognition in adolescents and younger adults, few studies have explored cognition and cannabis use in older adults. This study aimed to examine the relationship between lifetime cannabis use patterns and subjective cognitive performance in older adults.Participants and Methods:The sample (N=51) consisted of adults ages 60 and older residing in the United States who endorsed cannabis use within the previous year. Participants completed online questionnaires on demographics, mental health [Geriatric Anxiety Scale (GAS) short form and Geriatric Depression Scale (GDS) short form], and measures of subjective cognitive function [Cognitive Failures Questionnaire (CFQ), the Cognitive Problems and Strategies Assessment (CPSA), and part IV of the Cognitive Self Efficacy Questionnaire (CSEQ)]. The Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory (DFAQCU) and the Cannabis Use Disorder Identification Test (CUDIT) were used to assess cannabis use, and the Alcohol Use Disorders Identification Test Consumption items (AUD-C) were used to assess alcohol use. Partial Pearson’s correlations were used to examine relationships between scores of subjective cognitive functioning and cannabis use patterns while controlling for alcohol consumption.Results:Participants aged 60+ (M=68.06, SD=5.80, 49% women) had 15.39 (SD=2.21, range 12-18) years of education on average. Participants’ race/ethnicity was reported as 90.2% White (n=47), 5.9% Latinx or Hispanic (n=3), 2% Black or African American (n=1), and 1% Other (n=1). Most participants (59%) reported first using cannabis as a child or adolescent (range of ages 7-17 years), while 31% reported first using cannabis as an adult (ages 18-58 years), and only 8% endorsed initial use in older adulthood (62-84 years). On average, this sample reported using cannabis for 19.75 days (SD=11.14) in the last month with n=35 (69%) and having used cannabis for 20 or more years (range 1-60 years). The total CUDIT score was positively correlated with CFQ (rp=.47, p&lt;.001), CPSA problems (rp=.46, p&lt;.001), GAS (rp=.43, p=.002), and GDS (rp=.35, p=.014), and negatively correlated with the CSEQ (rp=-.33, p=.02), all while controlling for alcohol consumption. Days of use in the past month and total years of use were not significantly associated with subjective cognitive function.Conclusions:Among older adult cannabis users, symptoms of Cannabis Use Disorder (CUD) were significantly associated with greater self-reported cognitive failures/problems and worse self-efficacy for cognitive ability, as well as symptoms of anxiety and depression, when controlling for alcohol use. Notably, there was no relationship between subjective cognition and frequency of recent use or lifetime use. For patients who use cannabis, neuropsychologists may find it helpful to focus their clinical interview on CUD symptoms when discussing cognitive complaints rather than other measures of cannabis use. Additional research is needed to examine objective measures of cognitive functioning in older adult cannabis users.

Mental and Physical Health-Related Cannabis Motives Mediate the Relationship between Childhood Trauma and Problematic Cannabis Use over Time among Emerging Adult Cannabis Users

Background While growing evidence has identified mental and physical health-related cannabis use motives as significant mechanisms between childhood trauma and problematic cannabis use (PCU) for emerging adults (EA), there is a need to understand the longitudinal stability of these pathways and how they impact PCU as cannabis users age into later adulthood. Methods The current study extends an analysis examining the impact of childhood trauma (e.g., emotional abuse, sexual abuse) on multiple indicators of PCU through a range of cannabis use motives. 339 medical cannabis patient and non-patient EA users from the Los Angeles area were sampled at baseline (mean age = 21.23; SD = 2.48). The present analysis used four waves of follow-up data collected from 2016 to 2018 (W3, W4) and 2019-2020 (W5, W6). Results Use of cannabis to cope with nausea, sleep, pain, and emotional distress mediated the relationships between some types of childhood abuse and PCU at W4, though most associations attenuated by later adulthood (W6). Specifically, greater emotional distress and nausea motives were associated with greater PCU in models of emotional abuse and neglect and sexual abuse, with emotional distress continuing to mediate at W6. Conversely, sleep and pain motives were associated with lower PCU in models for emotional neglect. Conclusions Mental and physical health-related motives reflect potential intervenable factors that predict PCU in emerging adulthood among EA cannabis users with histories of childhood trauma. Results highlight the importance of and value for assessing a wide range of motives and PCU outcomes to target and address areas for intervention.

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

BackgroundLittle 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.MethodsYoung 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.ResultsParticipants (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.ConclusionAll 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.

Self-report methodology for quantifying standardized cannabis consumption in milligrams delta-9-tetrahydrocannabinol

ABSTRACTBackground: There is currently no format-independent method to determine delta-9-tetrahydrocannabinol (THC) in milligrams for self-report studies.Objectives: Validate self-report method for quantifying mg THC from commercially available cannabis products using product labeling, which includes both net weight and product potency.Methods: 53 adult cannabis users (24 M, 29F), 21–39 years of age (M = 28.38, SD = 4.15), were instructed to report daily use via a weekly survey for two consecutive weeks, provide product label photographs, abstain from use for 24 h, submit a urine sample and complete the Cannabis Use Disorder Identification Test – Revised (CUDIT-R) and the Marijuana Craving Questionnaire – Short Form (MCQ-SF). Milligrams of THC were determined by multiplying quantity of product used by its THC concentration. Urine was analyzed for the urine metabolite 11-nor-carboxy-THC (THC-COOH) via liquid chromatography mass spectroscopy. THC and THC-COOH values were log10 transformed prior to correlational analyses.Results: Median daily THC consumption was 102.53 mg (M = 203.68, SD = 268.13). Thirty-three (62%) of the 53 participants reported using two or more formats over the 2-week period. There was a significant positive correlation between log10 THC-COOH and log10 THC mg (r(41) = .59, p < .001), log10 THC mg and MCQ-SF score (r(41) = .59, p < .001), and log10 THC mg dose and CUDIT-R score, (r(41) = .39, p = .010).Conclusion: Our label-based methodology provides consumption information across all modalities of cannabis use in standard units that can be combined across products for calculation of dose. It is a viable and valid method for quantifying mg of THC consumed and can be utilized in any region where cannabis is legal, and labeling is regulated.

Validation of a Bayesian learning model to predict the risk for cannabis use disorder

Background:Cannabis use disorder (CUD) is a growing public health problem. Early identification of adolescents and young adults at risk of developing CUD in the future may help stem this trend. A logistic regression model fitted using a Bayesian learning approach was developed recently to predict the risk of future CUD based on seven risk factors in adolescence and youth. A nationally representative longitudinal dataset, Add Health was used to train the model (henceforth referred as Add Health model). Methods:We validated the Add Health model on two cohorts, namely, Michigan Longitudinal Study (MLS) and Christchurch Health and Development Study (CHDS) using longitudinal data from participants until they were approximately 30 years old (to be consistent with the training data from Add Health). If a participant was diagnosed with CUD at any age during this period, they were considered a case. We calculated the area under the curve (AUC) and the ratio of expected and observed number of cases (E/O). We also explored recalibrating the model to account for differences in population prevalence. Results:The cohort sizes used for validation were 424 (53 cases) for MLS and 637 (105 cases) for CHDS. AUCs for the two cohorts were 0.66 (MLS) and 0.73 (CHDS) and the corresponding E/O ratios (after recalibration) were 0.995 and 0.999. Conclusion:The external validation of the Add Health model on two different cohorts lends confidence to the model’s ability to identify adolescent or young adult cannabis users at high risk of developing CUD in later life.

Behavioral economic relationship between cannabis flower and concentrates: Evidence from simulated purchase tasks.

Cannabis users use different forms of cannabis, which are associated with distinct public health concerns. Policies that aim to regulate one specific form may have unintended impacts on other forms. This study examined the behavioral economic relationship between flower and concentrates, the two most common forms of cannabis. We surveyed 605 adult cannabis users (21+) who lived in one of the U.S. states that had legalized recreational cannabis by the time of interview in 2019. The participants completed simulated purchase tasks, which asked how much cannabis flower and concentrates they would purchase in the next 30 days at escalating prices. We estimated (a) demand indices and own-price elasticities using nonlinear exponential demand models and (b) group- and individual-level cross-price elasticities using log-linear demand models. The estimated rate of change in demand elasticity (α) was 0.00066 for cannabis flower (SE = 0.00002, p < .001) and 0.00058 for cannabis concentrate (SE = 0.00002, p < .001). Group-level cross-price elasticity estimate (slope = -0.075, SE = 0.0135, p < .001) indicated that cannabis flower and concentrates were weak complements. Individual-level cross-price elasticity estimates showed that flower and concentrates were treated as independent by 76.2% of the users, as complements by 19.0% of the users, and as substitutes by 4.8% of the users. The findings suggested that cannabis flower and concentrates were overall weak complements and for most adult cannabis users were treated as independent of each other. Price and tax policies regulating either cannabis form may have minimal impacts on the other form. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Emotion dysregulation in relation to cannabis use and mental health among young adults

BackgroundEmotion dysregulation (ED) is a transdiagnostic variable that accounts for the onset and maintenance of mental health disorders. The interplay between ED, cannabis use and mental health has not been appraised in the young adult population and whether there are sex-dependent effects has yet to be examined. This study looked at whether ED mediates the association between past-month cannabis use and mental health, while considering sex as a moderator. Methods2,762 (64.2% women) undergraduate Spanish students completed an online battery. Among others, they fulfilled the Depression Anxiety Stress Scale-21 (DASS-21) and the Difficulties in Emotion Regulation Scale (DERS-28). A two-way ANOVA assessed the effects of sex and past-month cannabis use on participants’ DASS-21 scores. A set of moderated mediations tested whether the indirect effect of past-month cannabis use on DASS-21 through DERS differed by sex. ResultsPast-month cannabis female users showed higher levels of depression, anxiety and stress (M = 51.10, SD = 26.72) than did men [(M = 33.76, SD = 20.31); F(1, 2758) = 5.119, p =.024, η2p =.002]. In female young adults only, the effect of past-month cannabis use on mental health was mediated by ED (total score), non-acceptance of emotional responses, lack of emotional control, difficulties in engaging in goal-directed behavior, and lack of emotional clarity (all p’s < 0.005) ConclusionsFindings indicate the importance of considering ED in assessment and intervention practices. Interventions targeting ED may be particularly effective for female young adult cannabis users.