DSM-5 Cannabis Use Disorder Research Articles

Discriminative validity of a substance use symptom checklist for moderate-severe DSM-5 cannabis use disorder (CUD) in primary care settings

BackgroundThe prevalence of cannabis use disorder (CUD) is increasing in the US and primary care providers need tools to identify patients with moderate-severe CUD to facilitate treatment. A single-item screen for cannabis (SIS-C) has outstanding discriminative validity for CUD. However, because the prevalence of moderate-severe CUD is typically low, the probability that an average patient who screens positive for daily cannabis has moderate-severe cannabis use disorder is low, making follow-up assessment important. MethodsThis study reports the discriminative validity of a DSM-5 Substance Use Symptom Checklist (“Checklist”) for moderate-severe CUD among 498 primary care patients who reported daily cannabis use on the SIS-C. We evaluated the performance of the Checklist (score 0–11) completed during routine care, compared to ≥4 DSM-5 CUD symptoms (moderate-severe CUD) on the Composite International Diagnostic Interview Substance Abuse Module from a confidential survey (reference standard). We estimated areas under receiver operating curve (AUROC), sensitivities, specificities, and post-test probabilities. ResultsOf 498 eligible patients, 17 % met diagnostic criteria for moderate-severe CUD. The Checklist’s AUROC for moderate-severe CUD was 0.77 (95 % CI: 0.71–0.83), and Checklist scores of 1–2 balanced sensitivity and specificity. Among patients from a population with average prevalence of CUD before screening (~6 % prevalence) and daily use on the SIS-C, a Checklist score of 3 indicated a post-test probability of 82.1 %. ConclusionOverall performance of the Checklist was good and the high specificity made it useful for identifying patients likely to have moderate-severe CUD among those at average risk.

Cannabis use, cannabis use disorder and mental health disorders among pregnant and postpartum women in the US: A nationally representative study

BackgroundCannabis use and cannabis use disorder (CUD) are associated with mental health disorders, however the extent of this matter among pregnant and recently postpartum (e.g., new moms) women in the US is unknown. Associations between cannabis use, DSM-5 CUD and DSM-5 mental health disorders (mood, anxiety, personality and post-traumatic stress disorders) were examined among a nationally representative sample of pregnant and postpartum women. MethodsThe 2012–2013 National Epidemiologic Survey on Alcohol and Related Conditions–III was used to examine associations between past-year cannabis use, CUD and mental health disorders. Weighted logistic regression models were used to estimate unadjusted and adjusted odds ratios (aORs). The sample (N=1316) included 414 pregnant and 902 postpartum women (pregnant in the past year), aged 18–44 years old. ResultsThe prevalence of past-year cannabis use and CUD was 9.8% and 3.2%, respectively. The odds of cannabis use (aORs range 2.10–3.87, p-values<0.01) and CUD (aORs range 2.55–10.44, p-values< 0.01) were higher among women with versus without any past-year mood, anxiety or posttraumatic stress disorders or any lifetime personality disorder. aORs for the association of cannabis use with specific mood, anxiety or personality disorders ranged from 1.95 to 6.00 (p-values<0.05). aORs for the association of CUD with specific mood, anxiety or personality disorders ranged from 2.36 to 11.60 (p-values<0.05). ConclusionsFrom pregnancy up to one year postpartum is a critical period where women may be particularly vulnerable to mental health disorders, cannabis use and CUD. Treatment and prevention are essential.

Dimensionality and differential functioning of DSM-5 cannabis use disorder criteria in an online sample of adults with frequent cannabis use

The DSM-5 criteria for cannabis use disorder (CUD) combine DSM-IV dependence and abuse criteria (without legal problems) and new withdrawal and craving criteria. Information on dimensionality, internal reliability, and differential functioning of the DSM-5 CUD criteria is lacking. Additionally, dimensionality of the DSM-5 withdrawal items is unknown. This study examined the psychometric properties of the DSM-5 CUD criteria among adults who used cannabis in the past 7 days (N = 5,119). Adults with frequent cannabis use were recruited from the US general population through social media and filled in a web-based survey about demographics and cannabis use behaviors. Factor analysis was used to assess dimensionality, and item response theory analysis models were used to explore relationships between the criteria and the underlying latent trait (CUD), and whether each criterion and the criteria set functioned differently by demographic and clinical characteristics: sex, age, state-level cannabis laws, reasons for cannabis use, and frequency of use. The DSM-5 CUD criteria showed unidimensionality and provided information about the CUD latent trait across the severity spectrum. The cannabis withdrawal items indicated one underlying latent factor. While some CUD criteria functioned differently in specific subgroups, the criteria set as a whole functioned similarly across subgroups. In this online sample of adults with frequent cannabis use, evidence supports the reliability, validity, and utility of the DSM-5 CUD diagnostic criteria set, which can be used for determining a major risk of cannabis use, i.e., CUD, to inform cannabis policies and public health messaging, and for developing intervention strategies.

Assessing the diagnostic utility of the Cannabis Use Disorder Identification Test – Revised (CUDIT-R) among veterans with medical and non-medical cannabis use

BackgroundFew studies examine the utility of the Cannabis Use Disorder Identification Test – Revised (CUDIT-R) in relation to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, (DSM-5) criteria for cannabis use disorder (CUD). This study assesses the performance of the CUDIT-R among a sample of Veterans with and without medical cannabis use. MethodsWe approached and consented primary care patients presenting to one of three Department of Veterans Affairs (VA) Medical Centers. Veterans with at least monthly cannabis use and complete CUD data at baseline were included in this analysis (n=234). CUDIT-R scores were compared against Alcohol Use Disorder and Associated Disabilities Interview Schedule-5 (DSM-5) CUD as the standard to calculate measures of validity (sensitivity, specificity), identify optimal CUDIT-R cutoff values, and assess the diagnostic proficiency of the CUDIT-R using receiver operating characteristic (ROC) curves. We further stratified analyses by active medical cannabis card holder status and DSM-5 CUD severity (any, moderate, and severe). ResultsAmong the entire sample, 38.9% qualified for any DSM-5 CUD, with 10.7% and 3.0% meeting criteria for moderate and severe CUD, respectively. We identified optimal CUDIT-R scores at 10 for any DSM-5 CUD (sensitivity=0.58; specificity=0.80), at 12 for moderate CUD (sensitivity=0.72; specificity=0.82), and at 14 for severe CUD (sensitivity=0.71; specificity=0.87). ROC curves showed higher CUDIT-R validity among non-card holders compared with medical cannabis card holders. ConclusionThe present study identified optimal CUDIT-R cutoff scores for Veterans who use cannabis. Varying DSM-5 validity measures inform the need for population-specific CUDIT-R cutoff values.

Sex differences in Cannabis use disorder and associated psychosocial problems among US adults, 2012–2013

While men show greater prevalence of cannabis use disorder (CUD) than women, whether cannabis use frequency drives this difference is unknown, and little is known about sex differences in problems associated with CUD. We therefore assessed the association of CUD with sex, adjusted for frequency of use, and compared the association of psychosocial and health-related problems with CUD between men and women. We included US adults age ≥ 18 who reported past-year cannabis use in the 2012–2013 National Epidemiologic Survey on Alcohol and Related Conditions-III (n = 3701). Cannabis use frequency, DSM-5 CUD and problems (interpersonal, financial, legal, health-related) were assessed. Associations between psychosocial problems, sex and DSM-5 CUD were assessed using prevalence differences (PD) and 95% confidence intervals (CI) from logistic regression models, controlling for demographics and cannabis use frequency, and effect modification by sex was assessed. We found that the prevalence of CUD among men versus women was not significantly greater after adjusting for use frequency. Women had significantly higher prevalence of interpersonal, financial and health-related problems than men, adjusting for frequency of use. Women showed significantly greater association of CUD with interpersonal problems with a boss or co-workers (p < 0.05) and a neighbor, relative or friend (p < 0.05) compared to men. Lack of sex differences in CUD after adjusting for frequency of use suggests use frequency may be an important target of CUD prevention efforts. CUD showed stronger associations for interpersonal problems among women than men, suggesting the need for particular emphasis on treating interpersonal problems related to cannabis use among women.

Gender differences in cannabis use disorder symptoms: A network analysis

BackgroundWhile cannabis use in women is increasing worldwide, research into gender differences in cannabis use disorder (CUD) symptomology is lacking. In response to limited effectiveness of addiction treatment, research focus has been shifting from clinical diagnoses towards interactions between symptoms, as patterns of symptoms and their interactions could be crucial in understanding etiological mechanisms in addiction. The aim of this study was to evaluate the CUD symptom network and assess whether there are gender differences therein. MethodsA total of 1257 Dutch individuals reporting weekly cannabis use, including 745 men and 512 women, completed online questionnaires assessing DSM-5 CUD symptoms and additional items on plans to quit or reduce use, cigarette use, and the presence of psychological diagnoses. Gender differences were assessed for all variables and an Ising model estimation method was used to estimate CUD symptom networks in men and women using network comparison tests to assess differences. ResultsThere were gender differences in the prevalence of 6 of the 11 symptoms, but symptom networks did not differ between men and women. Cigarette use appeared to only be connected to the network through withdrawal, indicating a potential role of cigarette smoking in enhancing cannabis withdrawal symptoms. Furthermore, there were gender differences in the network associations of mood and anxiety disorders with CUD symptoms. ConclusionThe association between smoking and withdrawal as well as gender differences in the role of comorbidities in the CUD network highlight the value of using network models to understand CUD and how symptom interactions might affect treatment.

Psychological Distress, Cannabis Use Frequency, and Cannabis Use Disorder Among US Adults in 2020

ABSTRACT Using 2020 National Survey on Drug Use and Health data (N = 27,170, age 18+), we examined associations of psychological distress with: (1) cannabis use frequency among all adults, and (2) cannabis use disorder (CUD) among cannabis users. Of all adults, 18.2% reported past-year cannabis use, 12.9% reported mild-moderate psychological distress, and 12.9% reported serious psychological distress. Greater proportions of cannabis users, especially those under age 35, reported psychological distress. Of cannabis users, 28.1% met DSM-5 CUD criteria. Multinomial logistic regression results showed that serious, compared to no, psychological distress was significantly associated with cannabis use at all frequency levels. Both mild-moderate and serious levels of distress were associated with similar elevated CUD risk (RRR = 1.57, 95% CI = 1.15–2.15 for mild-moderate distress; RRR = 1.58, 95% CI = 1.19–2.09 for serious distress) and 2–4 times higher risks of having moderate or severe, compared to mild, CUD and higher odds of having alcohol use disorder. The prevalence of CUD and other substance use/use disorder among cannabis users is concerning as are the significant associations of psychological distress with greater cannabis use frequency, CUD, and other substance use/use disorder. Younger adults especially may benefit from increased behavioral health services given their high prevalence of psychological distress, cannabis use, and CUD.

Construct validity of DSM-5 cannabis use disorder diagnosis and severity levels in adults with problematic substance use

The DSM-5 definition of cannabis use disorder (CUD) differs from DSM-IV by combining abuse and dependence criteria (without the legal criterion) and including withdrawal and craving criteria. Information on construct validity of the DSM-5 CUD diagnosis and severity levels is lacking. This study examines the associations between DSM-5 CUD and severity classification and a set of concurrent validators. Adults with problematic substance use were recruited from two settings: a research setting in an urban medical center and a suburban inpatient addiction treatment program. Participants who reported past-year cannabis use (n = 392) were included in this study and completed a semi-structured, clinician-administered diagnostic interview. Regression models estimated the associations between binary DSM-5 CUD and severity levels with a set of validators, including cannabis use variables, psychopathology, and functional impairment. DSM-5 CUD and all severity levels were associated with cannabis use validators, including number of days used, self-reporting that cannabis use was a major problem, and greater cannabis craving. DSM-5 CUD and severe CUD were associated with other psychiatric disorders and social impairment. Findings add information about the validity of DSM-5 CUD diagnosis and severity levels, with severe CUD receiving the strongest support from its association with validators across all domains, as distinct from the mild and moderate CUD measures that were associated with cannabis-specific validators alone. Severe CUD is likely to require more intensive treatment to bolster physical, psychiatric, and social functioning, whereas the mild and moderate severity thresholds provide useful information for identifying less severe disorders for prevention and brief intervention.

0622 Influence of Cannabis Use Disorder on Sleep Quality among College Students

Abstract Introduction Poor sleep, which has numerous deleterious effects, is one of the most common health complaints among college students. Both race/ethnicity and sex are associated with poor sleep outcomes, with Black college women potentially having higher risk. The college experience is often associated with an increase in stress, as well as drastic shifts in lifestyle and sleep patterns. Research indicates that college students report cannabis use enables them to cope with life stressors and negative emotions and is often used as a sleep aid. The use of cannabis as a to cope may lead to more chronic cannabis use, and the development of Cannabis Use Disorder (CUD), which is most prevalent in individuals aged 18-25. Therefore, this study examined the influence of CUD symptomatology on sleep among Black female college students. Methods Participants included 200 Black/African American women (age range: 18-25 years) attending a Historically Black College/University. Each participant completed an Qualtrics online survey including assessment of DSM-5 CUD criteria, and validated measures of sleep quality (Pittsburgh Sleep Quality Index [PSQI]) and perceived stress (Perceived Stress Scale [PSS]). Results 11.5% of the sample met criteria for CUD. There were no significant differences between the CUD and non-CUD groups in perceived stress, however, all participants endorsed moderate stress levels (M=19.51, SD=5.33). Additionally, all participant’s PSQI scores met criteria for impaired sleep (score &amp;gt;5). [MOU1] [TAD2] T-test analyses indicate that the CUD subgroup reported poorer sleep quality (M=9.04, SD=3.69 vs M=7.07, SD=3.28), more sleep disturbances (M=1.52, SD=0.59 vs M=1.15, SD=0.74), and longer sleep latency (M=37.70, SD=25.28 vs M=25.92, SD=23.95), than the non-CUD group (all p&amp;lt;.05). Conclusion Black/African American female college students who met criteria for CUD reported more sleep disturbances, longer sleep latencies, and poorer overall sleep quality. Given the lack of difference in perceived stress, these results suggest that the use of cannabis as a coping aid may exacerbate poor sleep. Previous research indicates that Black women are not only more likely to report poor sleep, but that they also report exploring non-traditional strategies to address their sleep problems. These findings suggest a need to examine these non-traditional coping strategies for possible paradoxical and deleterious effects. Support (If Any) Funding: R01HL142066, R01HL095799, RO1MD004113, R01HL152453, 1R15 DA052886-01A1

Psychosocial and health problems associated with alcohol use disorder and cannabis use disorder in U.S. adults

BackgroundAlthough the problems associated with alcohol use disorder (AUD) are well known, little is known about the psychosocial problems associated with cannabis use disorder (CUD), and the harmfulness of CUD relative to AUD. We compared the odds of psychosocial and health-related problems between individuals with DSM-5 AUD-only, CUD-only and co-occurring AUD+CUD. MethodsThe 2012–2013 NESARC-III, a nationally representative cross-sectional survey of non-institutionalized US adults (n = 36,309), assessed participants for DSM-5 AUD, CUD, and psychosocial (interpersonal, financial, legal) and health-related problems. Based on their responses, participants were categorized into mutually exclusive groups: no AUD/CUD, AUD-only, CUD-only, and AUD+CUD. Multivariable logistic regression models examined the associations between psychosocial problems and the four AUD/CUD groups, adjusting for sociodemographic characteristics. ResultsPeople with AUD-only, CUD-only, and AUD+CUD had higher odds of most interpersonal problems (adjusted odds ratio [aORs] 1.07–4.01), financial problems (aORs 1.53–4.28), legal problems (aORs 3.34–7.71), and health-related problems (aORs 1.29–1.92). The odds of psychosocial and health-related problems were similar for CUD-only and AUD-only in direct comparisons. Compared to those with AUD-only, those with AUD+CUD had higher odds of most problems examined (aORs 1.42–2.31). In contrast, there were few differences when comparing AUD+CUD with CUD-only. ConclusionsAUD and CUD were similarly associated with interpersonal, financial, and legal problems, emergency treatment and suicide attempt. People with AUD+CUD had higher odds of certain problems than individuals with either AUD-only or CUD-only. Although most people who use cannabis do not experience harms, our results indicate that CUD does not appear to be less harmful than AUD.

Cannabis use outcomes by past-month binge drinking status in the general United States population

Cannabis use and binge drinking are increasingly common in the United States, yet little is known about cannabis use patterns among people who engage in binge drinking. This study explored the relationship between several cannabis use outcomes and past-month binge drinking status. Pooled 2015–2018 National Surveys on Drug Use and Health data (N = 226,632) were used to explore the hypothesis that binge drinking is associated with higher prevalence of cannabis outcomes. Cannabis outcomes included past-month and past-year use, daily/almost daily use, and past-year DSM-IV/DSM-5 cannabis use disorder (CUD). Covariates included age, gender, race, total income, and study year. Separate weighted multivariable logistic regressions assessed associations between binge drinking and each cannabis outcome and provided adjusted prevalences of cannabis outcomes by binge drinking status. Past-month binge drinking was positively associated with past-month (OR: 3.72, 95 %CI: 3.56–3.93) and past-year (OR: 3.90, 95 %CI: 3.74–4.06) cannabis use in adjusted regressions. The adjusted odds of DSM-IV and DSM-5 CUD among people who used cannabis were 15 % and 12 % higher among people who engaged in binge drinking than those who did not, respectively (OR: 1.15, 95 %CI: 1.05, 1.26 and OR: 1.12, 95 %CI: 1.03, 1.21). Conversely, the odds of past-month daily cannabis use among people who used cannabis and reported binge drinking was 18 % lower than those who did not (OR: 0.82, 95 %CI: 0.74, 0.91). Our findings provide evidence of associations between binge drinking and cannabis use. Future studies should explore associations between cannabis and other alcohol use behaviors, including heavy drinking, and simultaneous alcohol and cannabis use.

Pain, cannabis use, and physical and mental health indicators among veterans and nonveterans: results from the National Epidemiologic Survey on Alcohol and Related Conditions-III.

Chronic pain is associated with mental and physical health difficulties and is prevalent among veterans. Cannabis has been put forth as a treatment for chronic pain, and changes in laws, attitudes, and use patterns have occurred over the past 2 decades. Differences in prevalence of nonmedical cannabis use and cannabis use disorder (CUD) were examined across 2 groups: veterans or nonveterans and those reporting or not reporting recent pain. Data from the National Epidemiologic Survey on Alcohol and Related Conditions-III (2012-2013; n = 36,309) were analyzed using logistic regression. Prevalence differences (PDs) for 3 cannabis outcomes (1) past-year nonmedical cannabis use, (2) frequent (≥3 times a week) nonmedical use, and (3) DSM-5 CUD were estimated for those reporting recent moderate to severe pain (veterans or nonveterans) and veterans reporting or not reporting recent pain. Difference in differences was calculated to investigate PDs on outcomes associated with residence in a state with medical cannabis laws (MCLs). Associations between physical and mental health and cannabis variables were tested. The results indicated that the prevalence of recent pain was greater among veterans (PD = 7.25%, 95% confidence interval (CI) [4.90-9.60]). Among veterans, the prevalence of frequent cannabis use was greater among those with pain (PD = 1.92%, 98% CI [0.21-3.63]), and among veterans residing in a state with MCLs, the prevalence of CUD was greater among those reporting recent pain (PD = 3.88%, 98% CI [0.36-7.39]). Findings failed to support the hypothesis that cannabis use improves mental or physical health for veterans with pain. Providers treating veterans with pain in MCL states should monitor such patients closely for CUD.

Probability and correlates of transition from cannabis use to DSM-5 cannabis use disorder: Results from a large-scale nationally representative study.

It has been previously reported that more than 34% of individuals who use cannabis may qualify for a diagnosis of DSM-IV cannabis abuse or dependence throughout their lifetime. The introduction of the DSM-5 cannabis use disorder (CUD) diagnostic criteria reflects several intrinsic changes in the perception of substance use disorders. However, little is known about the probability of transition from cannabis use to CUD over time nor about the sociodemographic and clinical correlates associated with this transition. Participants were individuals ≥18 years interviewed in the National Epidemiologic Survey on Alcohol and Related Conditions-III in 2012-2013. Measurements included univariable and multivariable discrete-time survival analyses performed to examine the association between previously reported cannabis dependence predictors and the hazards of transitioning from cannabis use to CUD. Survival plots assessed the probability of transition from cannabis use to CUD over time since age of first use and differences in probability between predictor levels. Among lifetime cannabis users (N = 11 272), lifetime probability of transition to CUD was approximately 27%. A higher probability of transition from cannabis use to CUD was observed in the following: men, participants belonging to an ethnic minority group, early-onset cannabis users and individuals who reported experiencing three or more childhood adverse events. This is the first study to explore transition from cannabis use to the DSM-5 CUD diagnosis. The current study identified specific predictors of this transition, which may assist in targeting at-risk populations.

Contribution of health motives to cannabis use among college students

Background: The Marijuana Motives Measure (MMM) is commonly used to explore the role of motives in cannabis use and related problems. A recent study suggested that a new Health motives subscale (using cannabis to improve sleep, form, energy, appetite, health) was the strongest motive associated with problematic use among high-school students. The aim of our study was to examine the predictive value of Health motives for cannabis use among college students.Method: Participants were 328 French college students who used cannabis at least once during the last six months and completed the Cannabis Use Disorder Identification Test-Revised (CUDIT-R) assessing the severity of symptoms related to cannabis use disorder (CUD) and the Marijuana Motives Mesure (MMM).Results: Twenty-two percent reached the cutoff score for likely moderate-severe DSM-5 CUD. Multiple regression analyses showed that Health motives were the strongest predictor for the severity of symptoms related to CUD relatively to all other motives. Enhancement and Expansion were also positively associated to symptoms of CUD, far more here than in previous studies among adolescents.Conclusions: This study replicates the findings of a previous study in high-school students. Health motives were found to be a strong predictor of CUD symptoms in college and high-school students which may have implication for both prevention and treatment of cannabis use problems.

Cannabis use disorders among adults in the United States during a time of increasing use of cannabis

BackgroundUsing U.S. National Surveys on Drug Use and Health (NSDUH) data, researchers found that prevalence of cannabis use among adults increased in recent years, but prevalence of DSM-IV cannabis use disorder (CUD) was stable. Examining trends of all individual CUD criteria and of CUD severity may elucidate reasons for the lack of increases in CUD. MethodsData were from 749,500 persons aged 18 or older who participated in the 2002–2017 NSDUH. Descriptive analyses and logistic regressions were applied. ResultsAmong adults during 2002–2017, past-year prevalence of DSM-IV CUD remained stable at 1.5% to 1.4%, but cannabis use increased from 10.4% to 15.3%, daily/near daily use increased from 1.9% to 4.2%, and mild DSM-5 CUD increased from 1.4% to 1.9%. Among adult cannabis users, past-year prevalence of DSM-IV CUD decreased from 14.8% to 9.3%, daily/near daily use increased from 18.0% to 27.2%, and DSM-5 moderate (4–5 criteria) and severe (6+ criteria) CUD decreased from 4.3% to 3.1% and from 2.4% to 1.3%, respectively. Examining trends in individual CUD criteria during 2002–2017 among adults overall revealed increases in two criteria (tolerance; spending a lot of time getting/using cannabis or getting over cannabis effects) and decreases/no changes in other criteria; among adult cannabis users, there was no change in one criterion (tolerance) and decreases in other criteria. ConclusionsDSM-5′s single dimension CUD measure may be more sensitive to diagnosis prevalence changes than the separate DSM-IV cannabis dependence and abuse categories. Future diagnostic approaches to assessing CUD may benefit from quantitatively oriented criteria.

DSM-5 cannabis use disorder, substance use and DSM-5 specific substance-use disorders: Evaluating comorbidity in a population-based sample

Cannabis use disorder (CUD) is frequently associated with concurrent substance use and/or comorbid substance use disorders (SUDs); however there is little specificity with regard to commonly abused individual drug types/classes. This study therefore aimed to provide insight into the degree of these co-occurring relationships across several specific newer and older generation illicit and prescription drugs. 36,309 adults aged 18+ from wave 3 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-III) were assessed. Weighted cross-tabulations and multivariable logistic regression analyses were used to evaluate comorbidity between current DSM-5 CUD, substance use and DSM-5 SUD. Current DSM-5 CUD is associated with greater lifetime use of all examined drug classes, and previous 12-month use of several newer-class illicit and prescription stimulant-based substances (all p< 0.05). Current DSM-5 CUD was similarly associated with increased incidence of a range of DSM-5 SUDs and was independently associated with concurrently reporting current DSM-5; sedative (Adjusted OR= 5.1, 95%CI 2.9–9.0), cocaine (AOR= 9.3, 95%CI 5.6–15.5), stimulant (AOR= 4.3, 95%CI 2.3–7.9), club drug (AOR= 16.1, 95%CI 6.3–40.8), opioid (AOR= 4.6, 95%CI 3.0–6.8) and alcohol-use disorder (AOR= 3.0, 95%CI 2.5–3.7); but not heroin or ‘other’ drug use disorder (both p>0.05). High comorbidity exists between DSM-5 CUD and many specific DSM-5 SUDs. Newer-class illicit and prescription stimulant-based drug use disorders are overrepresented among those with DSM-5 CUD. These findings underscore the need for tailored treatment programs for those presenting with DSM-5 CUD, and for greater treatment specification where poly-drug use is evident.

Cannabis Use and Disorder From Childhood to Adulthood in a Longitudinal Community Sample With American Indians

Recent changes in DSM criteria require new documentation of the prevalence and developmental sequences of cannabis use disorder (CUD). The goal of this study was to investigate the early course of DSM-5 CUDand its overlap with DSM-IV and consumption constructs in a community-representative sample of American Indians. Data came from the prospective, longitudinal, population-based Great Smoky Mountains Study in North Carolina (N= 1,420, including 349 American Indians). Cannabis use and disorder were assessed during yearly interviews from 9 to 16 years of age and at 19, 21, 26, and 30 years of age (up to 11 assessments per participant from 1993 through 2015). By 30 years of age, approximately 70% of participants had used cannabis, 34% had used cannabis daily, and 18% had met criteria for DSM-5 CUD. Approximately 1 in 4 cannabis users met criteria for CUD at some point. Those who met criteria initiated use more than 2 years previously (at 13.3 years old) compared with other users. Despite higher risks from increased poverty, American Indians' patterns of use were similar to those of the rest ofthe sample. Concordance between DSM-5 CUD and DSM-IV abuse or dependence was substantial but was even higher between DSM-5 CUD and daily use. It was common to have used cannabis daily or to have met criteria for DSM-5 CUD by adulthood. DSM-5 CUD was an improvement over DSM-IV diagnostic constructs by raising the threshold for diagnosis.

Dual cannabis and alcohol use disorders in young adults: Problems magnified

ABSTRACTBackground: Alcohol and marijuana are the 2 most commonly used substances among young adults. The present study examines whether having 2 DSM-5 (Diagnostic and Statistical Manual of Mental Disorders, 5th Edition) diagnoses (alcohol and cannabis) is associated with greater problems than having 1 (alcohol or cannabis) diagnosis. Methods: Participants were 307 young adults (18–25 years) from the community who met criteria for DSM-5 alcohol use disorder (AUD), cannabis use disorder (CUD), or both (dual use disorder [DUD]). Participants reported alcohol and marijuana use in the past 90 days (Timeline Follow-Back), alcohol problems (Short Inventory of Problems), and marijuana problems (Marijuana Problems Scale). Results: Eighty-four participants (27.4%) met criteria for AUD, 107 (34.9%) met criteria for CUD, and 116 (37.8%) met criteria for DUD. In multivariate analyses, the DUD group reported greater alcohol use frequency and more alcohol problems than the CUD-only group but not the AUD-only group. However, DUD individuals reported greater drinking intensity than singly diagnosed individuals. Those with DUD reported a greater proportion of marijuana consumption days than the AUD-only group but not the CUD-only group. However, DUD individuals reported more marijuana problems than both singly diagnosed groups. Conclusions: Results show that the concurrent presence of both DSM-5 AUD and CUD is associated with heavier drinking patterns and greater marijuana problems than disordered use of either substance alone, thus affirming the magnified severity of alcohol and marijuana use that accompanies dual DSM-5 alcohol and marijuana use disorders.

Genetic variation in FAAH is associated with cannabis use disorders in a young adult sample of Mexican Americans

BackgroundCannabis is a commonly used drug and studies have shown that a significant portion of the variation in cannabis use disorders (CUDs) is heritable. Five genes known to play a role in the endocannabinoid system and CUDs were examined in a community sample of young adult Mexican Americans (MAs): CNR1, MGLL, FAAH, DAGLA, and DAGLB. MethodsGene-based tests were run to test for association between each gene and two DSM-5 cannabis phenotypes. Subsequent linear regressions were run in PLINK using an additive model to determine which single nucleotide polymorphisms (SNPs) were driving the association. ResultsFAAH was significantly associated with DSM-5 cannabis use disorder group count (DSM-5 CUD) using a gene-based test (p=0.0035). This association survived Bonferroni correction for multiple testing at p<0.004. Post hoc analyses suggested this association was driven by two common (minor allele frequency >5%) SNPs in moderate linkage disequilibrium, rs324420 and rs4141964, at p=0.0014 and p=0.0023, respectively. In both cases the minor allele increased risk for DSM-5 CUD. ConclusionsGenetic variation in FAAH was associated with DSM-5 CUD in MAs. This association was primarily driven by the missense SNP rs324420. In vitro work has provided evidence that the risk allele generates an enzyme with decreased expression and cellular stability. Although this SNP has been previously associated with substance use in the literature, this is the first association in a young adult MA sample.

Comparing Factor, Class, and Mixture Models of Cannabis Initiation and DSM Cannabis Use Disorder Criteria, Including Craving, in the Brisbane Longitudinal Twin Study

Accumulating evidence suggests that the Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnostic criteria for cannabis abuse and dependence are best represented by a single underlying factor. However, it remains possible that models with additional factors, or latent class models or hybrid models, may better explain the data. Using structured interviews, 626 adult male and female twins provided complete data on symptoms of cannabis abuse and dependence, plus a craving criterion. We compared latent factor analysis, latent class analysis, and factor mixture modeling using normal theory marginal maximum likelihood for ordinal data. Our aim was to derive a parsimonious, best-fitting cannabis use disorder (CUD) phenotype based on DSM-IV criteria and determine whether DSM-5 craving loads onto a general factor. When compared with latent class and mixture models, factor models provided a better fit to the data. When conditioned on initiation and cannabis use, the association between criteria for abuse, dependence, withdrawal, and craving were best explained by two correlated latent factors for males and females: a general risk factor to CUD and a factor capturing the symptoms of social and occupational impairment as a consequence of frequent use. Secondary analyses revealed a modest increase in the prevalence of DSM-5 CUD compared with DSM-IV cannabis abuse or dependence. It is concluded that, in addition to a general factor with loadings on cannabis use and symptoms of abuse, dependence, withdrawal, and craving, a second clinically relevant factor defined by features of social and occupational impairment was also found for frequent cannabis use.