Frequency Of Cannabis Use Research Articles

Cross-Substance Associations With Transitions in Cannabis and Nicotine Use in a Statewide Sample of Young Adults in Washington State.

Understanding transitions in nicotine and cannabis use has implications for prevention and efforts to reduce harmful use. Focusing on cross-substance associations, we examined how use of one substance was associated with year-to-year transitions in frequency of use of the other among young adults in the context of legalized nonmedical cannabis. A statewide sample from Washington (N = 4,039; ages 18-25 at baseline) provided up to 3 years of annual data on past-month cannabis use and nicotine use (tobacco cigarettes and e-cigarettes/vaping). Manifest Markov models examined how use of each substance was associated with transitions in the other across categories of past-month no use, occasional use (1-19 days), and frequent use (≥20 days). Occasional and frequent nicotine use (vs. no use) predicted higher probability of transitioning from no cannabis use to occasional or frequent cannabis use and from occasional use to frequent use, whereas associations with cessation and de-escalation were inconsistent in direction, small in magnitude, and not statistically significant. Cannabis use positively predicted onset of nicotine use, and associations of cannabis use with escalation from occasional to frequent nicotine use, de-escalation in use, and cessation in use were small and inconsistent in direction. The findings corroborate prior research on cannabis and nicotine use as risk factors to address in prevention efforts. The findings do not provide strong support for prioritization of dual abstinence in efforts to encourage reductions in or cessation of cannabis or nicotine use among young adults.

Assessing changes in sleep across four weeks among adolescents randomized to incentivized cannabis abstinence

BackgroundWithdrawal from cannabis use is associated with sleep disturbances, often leading to resumption of use. Less is known about the impact of abstinence on sleep in adolescence, a developmental window associated with high rates of sleep disturbance. This study investigated effects of sustained abstinence on self-reported sleep quality and disturbance in adolescents reporting frequent cannabis use. MethodsNon-treatment seeking adolescents, recruited from school screening surveys and the community, with frequent cannabis use (MAge=17.8, SDAge=1.7, 47% female, 45% non-white) were randomized to four weeks of biochemically-verified abstinence, motivated via contingency management (CB-Abst, n=53), or monitoring without an abstinence requirement (CB-Mon, n=63). A mixed-effects model was used to predict change in Pittsburgh Sleep Quality Index (PSQI) scores. ResultsParticipants in CB-Abst reported higher overall PSQI scores than those in CB-Mon (M=1.06, p=0.01) indicating worse sleep during the four-week trial. Sleep disruptions in CB-Abst increased during Week 1 of abstinence (d=0.34, p=0.04), decreased during Week 2 (d=0.36, p=0.04), and remained constant for the rest of the trial. At Week 4, sleep was comparable to baseline levels for those in CB-Abst (p=0.87). Withdrawal-associated sleep disruption in the CB-Abst group was circumscribed to increases in sleep latency (b=0.35; p=0.05). ConclusionsCannabis abstinence in adolescents was associated with transient delayed onset of sleep initiation falling asleep during the first week of abstinence. Findings highlight withdrawal-associated changes in sleep latency as an intervention target for supporting adolescents attempting abstinence. Future research should use objective measures of sleep and focus on elucidating mechanisms underlying sleep disturbances with cannabis use and withdrawal.

Trends and projection in the proportion of (heavy) cannabis use in Germany from 1995 to 2021.

To measure the current trends of cannabis use in Germany, measure trends in the proportion of heavy cannabis users and estimate future cannabis use rates. Repeated waves of the Epidemiological Survey on Substance Abuse, a cross-sectional survey conducted between 1995 and 2021 with a two-stage participant selection strategy where respondents completed a survey on substance use delivered through the post, over the telephone or on-line. Germany. German-speaking participants aged between 18 and 59 years living in Germany who self-reported on their cannabis use in the past 12 months (n = 78 678). With the application of a weighting scheme, the data are nationally representative. Questions on the frequency of cannabis use in the past 12 months and self-reported changes in frequency of use due to the COVID-19 pandemic. The prevalence of past 12-month cannabis users increased from 4.4% [95% confidence interval (CI) = 3.7, 5.1] in 1995 to 10.0% (95% CI = 8.9, 11.3) in 2021. Modeling these trends revealed a significant increase that accelerated over the past decade. The proportion of heavy cannabis users [cannabis use (almost) daily or at least 200 times per year] among past-year users has remained steady from 1995 (11.4%, 95% CI = 7.7, 16.5) to 2018 (9.5%, 95% CI = 7.6, 11.9), but significantly increased to 15.7% (95% CI = 13.1, 18.8) in 2021 during the COVID-19 pandemic. Extrapolating from these models, the prevalence of 12-month cannabis users in 2024 is expected to range between 10.4 and 15.0%, while the proportion of heavy cannabis users is unclear. Trends from 1995 to 2021 suggest that the prevalence of past 12-month cannabis users in Germany will continue to increase, with expected rates between 10.4 and 15.0% for the German-speaking adult population, and that at least one in 10 cannabis users will continue to use cannabis heavily (almost daily or 200 + times in the past year).

Using Latent Profile Analysis to Examine Cannabis Use Contexts: Associations with Use, Consequences, and Protective Behaviors

Objective College students represent a large portion of the population, and report high rates of cannabis use and related negative outcomes, including interpersonal problems, risky behaviors, or physical dependency. The contexts in which students use cannabis (e.g., at a party, when feeling down or depressed, after a fight with a loved one) likely affect their risk of experiencing consequences. We aimed to discern profiles of cannabis use contexts and compare profiles on use frequency, consequences, and the use of cannabis protective behavioral strategies (PBS). Method College students were surveyed regarding their cannabis use contexts, frequency, consequences, and PBS use (n = 265; female = 72.8%). We used Latent Profile Analysis to identify patterns of cannabis use contexts and auxiliary testing to compare profiles on use frequency, consequences, and PBS use. Results Our examination revealed three latent profiles of cannabis use. The Social Use Profile was associated with use in predominantly social/uplifting contexts. The Physical & Emotional Pain Profile was also associated with use in these contexts but was defined by additional use in response to pain. The All Contexts Profile was associated with frequent use in all contexts, including those that were least endorsed by the other profiles. Profiles differed in cannabis use frequency, PBS use, and the number of consequences experienced, such that profiles were more likely to be associated with more frequent cannabis use, higher risk of experiencing use-consequences, and using fewer PBS as the number of use contexts increased across the profiles. Conclusions The contexts in which people use cannabis are associated with cannabis risk and protection. Prevention and intervention efforts may benefit from considering contexts of cannabis use.

Assessing the associations between known genetic variants and substance use in people with HIV in the United States.

The prevalence of substance use in people with HIV (PWH) in the United States is higher than in the general population and is an important driver of HIV-related outcomes. We sought to assess if previously identified genetic associations that contribute to substance use are also observed in a population of PWH. We performed genome-wide association studies (GWAS) of alcohol, smoking, and cannabis use phenotypes in a multi-ancestry population of 7,542 PWH from the Center for AIDS Research Network of Integrated Clinical Systems (CNICS). We conducted multi-ancestry GWAS for individuals of African (n = 3,748), Admixed American (n = 1,334), and European (n = 2,460) ancestry. Phenotype data were self-reported and collected using patient reported outcomes (PROs) and three questions from AUDIT-C, an alcohol screening tool. We analyzed nine phenotypes: 1) frequency of alcohol consumption, 2) typical number of drinks on a day when drinking alcohol, 3) frequency of five or more alcoholic drinks in a 30-day period, 4) smoking initiation, 5) smoking cessation, 6) cigarettes per day, 7) cannabis use initiation, 8) cannabis use cessation, 9) frequency of cannabis use during the previous 30 days. For each phenotype we considered a) variants previously identified as associated with a substance use trait and b) novel associations. We observed evidence for effects of previously reported single nucleotide polymorphisms (SNPs) related to alcohol (rs1229984, p = 0.001), tobacco (rs11783093, p = 2.22E-4), and cannabis use (rs2875907, p = 0.005). We also report two novel loci (19p13.2, p = 1.3E-8; and 20p11.21, p = 2.1E-8) associated with cannabis use cessation. Our analyses contribute to understanding the genetic bases of substance use in a population with relatively higher rates of use compared to the general population.

Frequency of Narcissistic Personality Disorder in Cannabis Consumer Engineering Students

IntroductionCannabis is the most widely used illicit drug, particularly by those in their adolescence to mid-adulthood. Its effects include altered time perception, decreased concentration, and learning impairment, as well as feelings of relaxation and euphoria. This study seeks to explore the possible correlation between cannabis use and the manifestation of narcissistic personality disorder. By identifying such a relationship, early detection, and treatment of patients with this disorder may prevent future substance abuse. MethodsIn this descriptive-cross-sectional study, a sample of 100 engineering students who were cannabis consumers at (Shahid Beheshti University in Tehran) was selected using snowball sampling. After confirming cannabis use and selecting individuals based on DSM-5 criteria, their status was described, and the NPI-16 questionnaire was administered to investigate narcissistic personality disorder. The frequency of narcissistic personality disorder and its association with demographic parameters were then statistically analyzed. ResultsBased on the results obtained in the present study, the prevalence of individuals with narcissistic personality disorder was estimated to be 15%, which is higher than the general population with a prevalence of around 2%. The frequency of cannabis use was higher in men, high school graduates, and in the age range of 24–25. Additionally, in individuals with narcissistic personality disorder, the frequency of men, high school graduates, age 24, and those residing in (XXX) was higher. ConclusionsThis study suggests that cannabis consumption may be linked to a higher incidence of narcissistic personality disorder compared to the general population. Given the potential impact on young people's mental health, particularly students, it is crucial to identify individuals who may be affected and offer appropriate therapeutic and counseling services. As there are existing treatments available for substance abuse and narcissistic personality disorder, taking proactive measures to address these issues can be crucial in mitigating their effects.

Changes in Cannabis Use From 2014 to 2019 Among Young Adults in Washington State

Understanding changes in cannabis use in the legalized nonmedical cannabis context is critical. Washington State, one the earliest states to implement legalization, presents a unique opportunity to examine how cannabis use and its consequences changed after the implementation of legalization for adults. With a focus on Washington State young adults, this study conducted in 2022-2023 examined changes in (1) cannabis use by sex and age, (2) preferred mode of use, and (3) cannabis use disorder symptoms. Using repeated cross-sectional data on young adults aged 18-25 years in Washington State from 2014 (premarket opening) to 2019 (N=12,945), logistic regression models assessed trends over time in the prevalence of any and frequent (20+ days) past-month cannabis use. Among individuals reporting use, multinomial logistic regressions estimated trends over time in the preferred mode of use and negative binomial regressions examined trends in the count of cannabis use disorder symptoms. From 2014 to 2019, the prevalence of cannabis use converged by sex, with females being equally likely as males to report both any and frequent use by 2019. Among young adults reporting past-month use, smoking as the preferred mode of use decreased relative to other modes. Number of cannabis use disorder symptoms reported increased, which was not accounted for by changes in preferred mode of use. During the 5-year period following the implementation of legalization, patterns of young adult cannabis use shifted, including particularly sharp increases among females and increases in cannabis use disorder symptoms. Future studies should investigate underlying causes for these important changes.

Cannabis use following bariatric surgery is associated with anxiety and maladaptive eating

BackgroundThere are limited data regarding the association of cannabis use with outcomes after bariatric surgery. As such, it is challenging to know how to counsel patients using cannabis. ObjectivesThe purpose of this study was to examine whether postsurgical cannabis use was associated with psychiatric symptoms and maladaptive eating among individuals up to 4 years after bariatric surgery. SettingSingle health system. MethodsAll patients who underwent bariatric surgery over a 4-year period were invited to participate. Participants (N = 765) completed questionnaires online regarding postsurgical cannabis use, psychiatric symptoms, and maladaptive eating. ResultsAny cannabis use after bariatric surgery was associated with increased likelihood of having elevated symptoms of anxiety (odds ratio [OR] = 1.88, P = .003; 37.8% versus 24.4%), increased likelihood of grazing behaviors (OR = 1.77, P = .01; 71.2% versus 58.2%), and higher scores for eating in response to depression (P = .01; 12.13 versus 10.75). Weekly cannabis use was associated with loss of control eating (OR = 1.81, P = .04; 37.2% versus 24.7%), binge eating (OR = 2.16, P = .03; 20.0% versus 10.4%), and night eating behaviors (OR = 2.11, P = .01; 40.0% versus 24.0%). Cannabis use was not associated with depression (P > .05). ConclusionsCannabis use after bariatric surgery was associated with anxiety symptoms and engaging in maladaptive eating behaviors. Frequent cannabis use (i.e., ≥1 per week) was associated with additional types of maladaptive eating. Clinicians involved in presurgical and postsurgical care may want to counsel patients currently using cannabis, especially those who are engaging in frequent use.

Not how often but when: Self-efficacy to control cannabis use and PTSS.

Cannabis use is prevalent with trauma survivors. Yet, the effects of cannabis use on posttraumatic stress symptoms (PTSS) have been equivocal with some studies showing a positive association and some showing a negative association. Integrating the self-medication hypothesis and social cognitive theory (SCT), the present study aimed to elucidate differential outcomes by considering frequency of cannabis use and self-efficacy to control cannabis use in different contexts (i.e., social facilitation, opportunistic, and emotional relief) in relation to PTSS. Undergraduate students (N = 314) who endorsed lifetime trauma exposure and past-month cannabis use completed self-report measures assessing cannabis use behaviors, self-efficacy to control use, and PTSS. Parallel mediation revealed that initially, greater frequency of cannabis use was associated with PTSS severity (β = .16, SE = .09, p = .004). With the inclusion of emotional relief self-efficacy, opportunistic self-efficacy, and social facilitation self-efficacy to control cannabis use as parallel mediators, frequency of cannabis use no longer predicted PTSS severity. There was also a significant indirect effect of emotional relief self-efficacy to control cannabis use on frequency of use and PTSS (95% CI [.14, .31]). Self-efficacy to control cannabis use during moments of emotional distress could serve a critical role in the relationship between cannabis use and PTSS. These results may inform clinical intervention and provide survivors with a better understanding of how use impacts recovery. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A Longitudinal Analysis of Monthly Changes in Substance Use in Relation to Negative Consequences From Alcohol and Cannabis Use in a Community Sample of Young Adults.

Experiencing negative substance use consequences may deter future use, alter patterns of substance use (e.g., substituting one substance for another, combining substances), or point to a sustained pattern of engaging in heavy or frequent use. We used monthly data to examine relationships between negative alcohol and cannabis use consequences experienced in one month and changes in use the following month. Data were from 508 individuals (59% female; ages 18-23 years at enrollment) who were surveyed monthly for 2 years and used both alcohol and cannabis during the study period. Multilevel models assessed within-person associations between monthly fluctuations in substance-related negative consequences and the next month's substance use (i.e., typical drinks per week, cannabis use frequency, and simultaneous alcohol and cannabis/marijuana [SAM] use), controlling for the prior month's substance use. Positive associations were found between alcohol consequences and the following month's alcohol use and between cannabis consequences and subsequent cannabis use, although only the cannabis association was statistically significant. There was little evidence of effects of cannabis consequences on the next month's alcohol use or alcohol consequences on the next month's cannabis use. Cannabis consequences had a positive and statistically significant association with the next month's SAM use. Within-substance positive associations were strongest for physical alcohol consequences and cannabis consequences of low motivation, memory problems, and trouble breathing. Experiencing negative cannabis use consequences predicted more frequent cannabis use and greater chance of SAM use 1 month later. Results point to negative consequences, along with prior use, indicating risk for future use.

Longitudinal Associations Between Cannabis Use and Cognitive Impairment in a Clinical Sample of Middle-Aged Adults Using Cannabis for Medical Symptoms.

Introduction: Cannabis use to alleviate medical symptoms is increasing in middle-aged and older adults. Cognitive impairment associated with cannabis use may be especially detrimental to these understudied age groups. We hypothesized that among middle-aged and older adults who used cannabis for 12 months, frequent (≥3 days/week) compared with nonfrequent (≤2 days/week) use will be associated with cognitive impairment. Materials and Methods: We performed secondary analysis on data from a clinical trial of cannabis use for medical symptoms. Participants (n=62) were ≥45 years, and completed a baseline and at least one postbaseline visit. Cognitive domains were assessed through the Cambridge Neuropsychological Test Automated Battery. Cannabis use was assessed prospectively through daily smartphone diaries. Frequency of cannabis use was a binary predictor in a mixed-effects logistic regression model predicting cognitive impairment adjusted for baseline cognitive functioning. Results: At baseline, participants were primarily nonfrequent cannabis users; however, in all other time periods, most participants were frequent users (range: 55-58%). Cognitive outcomes did not differ between frequent and nonfrequent cannabis users. However, in sensitivity analyses, respondents with problematic cannabis use scored significantly worse on one cognitive domain compared to those without problematic cannabis use. Conclusions: In a clinical sample of adults aged ≥45 years, no longitudinal associations were found between cannabis use and cognitive functioning. However, a few significant associations were observed between problematic use and cognitive functioning. Further research is needed to assess the impact of cannabis use on adults, particularly those aged ≥65 years, and to investigate potential subtler influences of cannabis use on cognition. ClinicalTrials.gov ID: NCT03224468.

Binge Drinking and Cannabis Use among Transgender and Gender-Diverse Young Adults in Michigan.

Substance use rates are higher among transgender and gender-diverse people than cisgender people. Rates of substance use are also higher among young adults compared with other age groups. However, little research examines substance use among transgender and gender-diverse young adults. This study examines factors associated with binge drinking and cannabis use among transgender and gender-diverse young adults in Michigan. Participants (N = 78; ages 18-25) completed an online survey that included demographics and substance use and related characteristics. Race, stimulant misuse, and sedative misuse were associated with more frequent binge drinking. Older age and past-year pain reliever misuse were associated with less frequent cannabis use. Past-year stimulant use and using cannabis alone were associated with more frequent cannabis use. These findings suggest that additional marginalized identities may increase the risk for maladaptive substance use. Future research should examine substance use behaviors and correlates to inform interventions among this population.

Cannabis and Nicotine Dual Use among Sexual Minority Individuals: Relations to Cannabis Use and Negative Affect

Background: Sexual minority individuals report significantly more cannabis use and use-related problems than their heterosexual peers, and emerging data indicate sexual minority individuals who use cannabis are at greater risk for dual use of nicotine products (combustible smoking, e-cigarette use) than heterosexual individuals. Although cannabis–nicotine dual use is related to worse cannabis outcomes and negative affect, little work has identified factors related to dual use among sexual minority individuals or tested if sexual orientation-based discrimination (microaggressions, overt discrimination) is related to dual use. Objectives: The current study tested if cannabis–nicotine dual use is related to more frequent cannabis use, more cannabis-related problems, negative affect, and discrimination among sexual minority undergraduate students who endorsed current (past three-month) cannabis use (N = 328), 43.6% of whom endorsed dual nicotine use. Cannabis–nicotine dual use was related to more frequent cannabis use, more cannabis-related problems, more anxiety (but not depression), and more sexual orientation-based microaggressions and microaggressions-related negative affect (but not overt discrimination or non-sexual orientation-based daily stressors). Conclusions/Importance: Overall, this is the first known study to identify that sexual orientation-based discrimination is related to cannabis–nicotine dual use and that dual use is related to more frequent cannabis use, use-related problems, and negative affect (especially anxiety) among this underrepresented group.

Extending Gender- and Sex-Based Analyses in Cannabis Research: Findings from an Online Sample of Gender Diverse Young Adult Consumers.

Background: Gender and sex can influence cannabis behaviors and consequences (Cannabis Use Disorder [CUD]). Research typically examines sex and gender independently. Gender analyses often exclude transgender and gender diverse (TGD) populations. The objectives of this study were to (a) replicate less frequent cannabis use among TGD young adults compared to cisgender counterparts (b) compare severity of CUD, and (c) examine the role of sex on cannabis outcomes. Method: Online survey participants between 18 and 34 (N=1213) from the United States who reported past-week cannabis consumption provided information on cannabis practices and CUD from February to April 2022. Bivariate analyses explored gender differences across frequency (daily frequency across routes of administration [ROAs]; daily use of 2+ ROAs, use throughout the day) and CUD. Adjusted regression models provided model-estimated marginal probabilities and means to examine differences across four gender-by-sex categories (cisgender men: n=385; cisgender women: n=681; male-at-birth TGD: n=26; female-at-birth TGD: n=121). Benjamini-Hochberg adjustments (10% false discovery rate) were applied. Results: Among past-week consumers, female-at-birth TGD participants demonstrated lower probability of daily flower smoking compared to cisgender men (0.54 vs. 0.67). Cisgender men reported greater probability of daily concentrate vaping (0.55) compared to cisgender women (0.45) and female-at-birth TGD participants (0.27); they were also more likely to report daily use of 2+ ROAs (cisgender men: 0.51 vs. cisgender women: 0.39 and female at-birth TGD: 0.27). TGD participants reported greater CUD severity compared to cisgender counterparts, t(1096)=-3.69, p=0.002. Model-estimated means found lower severity among cisgender women compared to cisgender men and female-at-birth TGD participants. Stratified regression models support positive associations between daily cannabis use and CUD in both TGD in cisgender groups. Among cisgender participants, greater severity was predicted by male sex, younger age, and younger age of onset. Conclusions: The present study replicates and extends a prior finding that among past-week cannabis consumers, TGD young adults report less frequent use than cisgender counterparts. Despite this, TGD participants demonstrated greater severity of CUD. While analyses were limited by the small sample of male-at-birth TGD participants, the article highlights the importance of expanding sex- and gender-focused analyses. Future work is expanding efforts to target hard-to-reach consumers.

Assessment of Substance Use Among High School Students in Northern Cyprus Based on the Gateway Hypothesis

This study is a quantitative survey study based on the data of the research project on the Use of Alcohol, Cigarettes and Other Addictive Substances in Northern Cyprus High Schools students conducted by the Turkish Republic of Northern Cyprus Anti-Drug Commission. In this study, data were collected from 763 high school students in 6 districts in the north of Cyprus through the European School Research Project Alcohol and Other Drugs (ESPAD Survey) Survey, using the stratified sampling method, through the guidance and psychological counselling services of the schools. According to findings of this study, as the smoking age falls, so does the age of switching to e-cigarettes. Similarly, as the age of first cigarette and e-cigarette smoking declines, so does the age of daily use of cigarettes and e-cigarettes. When the regression results of the research are evaluated, it is seen that students' lifetime smoking frequency, age at beginning smoking, e-cigarette smoking frequency, age at first e-cigarette smoking, hookah smoking frequency, and usage of heated non-combustible tobacco products did not predict bonsai use. However, an increase in the frequency of cannabis use among students significantly predicts bonsai consumption.

Many leveled ordinal models for frequency of alcohol and drug use

ABSTRACT Background: The numbers of days people consume alcohol and other drugs over a fixed interval, such as 28 days, are often collected in surveys of substance use. The presence of an upper bound on these variables can result in response distributions with “ceiling effects.” Also, if some peoples’ substance use behaviors are characterized by weekly patterns of use, summaries of substance days-of-use over longer periods can exhibit multiple modes. Objective: To highlight advantages of ordinal models with a separate level for each distinct survey response, for bounded, and potentially multimodal, count data. Methods: We fitted a Bayesian proportional odds ordinal model to longitudinal cannabis days-of-use reported by 443 individuals who used illicit drugs (206 female, 214 male, 23 non-binary). We specified an ordinal level for each unique response to allow the exact numeric distribution implied by the predicted ordinal response to be inferred. We then compared the fit of the proportional odds model with binomial, negative binomial, hurdle negative binomial and beta-binomial models. Results: Posterior predictive checks and the leave one out information criterion both suggested that the proportional odds model gave a better fit to the cannabis days-of-use data than the other models. Cannabis use among the target population declined during the COVID-19 pandemic in Australia, with the odds of a member of the population exceeding any specified frequency of cannabis use in Wave 4 estimated to be 73% lower than in Wave 1 (median odds ratio 0.27, 90% credible interval 0.19, 0.38). Conclusion: Ordinal models can be suitable for complex count data.

Risk and protective factors of social networks on alcohol, cannabis, and opioid use among urban American Indian/Alaska Native emerging adults.

Assess associations between social networks and urban American Indian/Alaska Native emerging adults' alcohol, cannabis, and opioid use and intentions. American Indian/Alaska Native participants ages 18-25 (N = 150; 86% female) were recruited across the United States from 12/20 to 10/21 via social media. Participants named up to 15 people whom they talked with most over the past 3 months and reported who (a) used alcohol and cannabis heavily or used other drugs (e.g., opioid use), (b) engaged in traditional practices, and (c) provided support. They also reported past 3-month alcohol, cannabis, and opioid use and intentions to use. Having a higher proportion of network members engaging in regular cannabis and heavy alcohol use (but not other drugs) was associated with more frequent cannabis use and stronger cannabis use intentions. Participants with higher proportions of members engaging in heavy alcohol use, regular cannabis use, or other drug use and who did not engage in traditional practices were more likely to report cannabis use and greater intentions to use cannabis and drink alcohol. In contrast, participants with higher proportions of network members engaging in traditional practices and who did not report heavy alcohol use, regular cannabis use, or other drug use were less likely to report intentions to use cannabis or drink alcohol. Findings emphasize what many studies have shown among various racial/ethnic groups-having network members who use substances increases the chance of use. Findings also highlight that traditional practices may be an important part of the prevention approach for this population. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Substance Use, Internet Risk Behavior, and Depressive Symptoms as Predictors of Self-harm Thoughts in Adolescents: Insights from the 2019 ESPAD Survey in Croatia.

Self-harm has become a nonspecific symptom of mental distress that is most prevalent in the adolescent population. Since it is often a hidden problem, it is important to focus on preventing it. This study used the data from the Croatian leg of the European School Survey Project on Alcohol and Other Drugs to assess certain risk factors and possible protective factors for self-harm thoughts among 16-year-olds in Croatia. Using binary logistic regression, we identified that being female, having less family support and less parental knowledge of adolescents' activities, more frequent cannabis use, more compulsive Internet use and more frequent depressive symptoms significantly increased the likelihood of self-harm thoughts in this sample. Identifying factors that lead to thoughts of self-harm may open a potential space for self-harm prevention before those thoughts progress into behavior.

Application of Neural Network Algorithms to Implement Drug Abuse Research on Identifying Cannabis Use Disorder through Analysing Personality Traits

Frequent cannabis use will certainly lead to a reasonable mental complication. Daily and long-time period cannabis use is associated with more intellectual loss. This is identified as cannabis use disorder (CUD). The CUD starting at the teen age is the strongest predictors of cognitive impairment. However, it's miles uncertain which comes first. Whether CUD results in early onset cannabis use or cannabisearly use in lives reasons the CUD. The aim of this paper is to investigate the most influential features origins the CUD among the cannabis user’s personality trails. Depending on the self-extracted data collected from 1885 individuals three of the NN models were built. These three NN models apply the 10-Fold cross validation and 30-70 Hold-Out validation methods to provide the reliability of the prediction results. Among the three methods the RNN Hold-Out method achieves 99.19% as best accuracy result.

Young Adult Medical Cannabis Patients in Florida: Gender Differences in Characteristics of use, Experiences at Dispensaries, and Association With Health-Related Problems

In recent years there has been an increase in cannabis use among adults in the U.S., which corresponds with changes in state-level laws making cannabis available for medical/recreational use. While cannabis became available for medical use in Florida in 2014, it was not until a ban on smoking cannabis was lifted in 2019 that the number of patients began to increase. The data for the current study are the Florida Young Adult Cannabis Study and focus on 415 medical cannabis patients (MCP). We identified several significant differences between male and female MCP. Female MCP initiated regular cannabis use at a younger age and reported more frequent cannabis use. Female MCP were more likely to endorse self-treatment motives while male MCP were more likely to endorse recreational motives. As Florida is one of the largest and most diverse states in the U.S., research on MCP is needed to inform policy.