Psychometric properties of the cannabis abuse screening test (CAST) in a sample of Moroccans with cannabis use.

BACKGROUND: The Cannabis Abuse Screening Test (CAST) is a widely used screening tool for identifying patterns of cannabis use that have negative health or social consequences for both the user and others involved. This brief screening instrument has been translated into multiple languages, and several studies examining its psychometric properties have been published. However, studies on the factorial validity and psychometric properties of a Moroccan version of the CAST are not yet available. The objective of this study is to validate the CAST, translated, and adapted to the Moroccan Arabic dialect among persons with cannabis use. METHODS: A total of 370 participants from an addictology center in Fez City, were selected over two phases to form the study sample. First, in phase I, exploratory factor analysis was employed to evaluate the factor structure in the pilot sample (n1 = 150). Subsequently, in the second phase (Phase II), confirmatory factor analysis was utilized to confirm this structure in the validation sample (n2 = 220). All statistical analyses were carried out using the R program. RESULTS: The CFA unveiled a three-factor structure that showed a good overall fit (χ2/df = 2.23, RMSEA = 0.07, SRMR = 0.02, CFI = 0.99, NFI = 0.98) and satisfactory local parameters (standardized factor loadings between 0.72 and 0.88). The model demonstrates satisfactory reliability and convergent validity, as evidenced by the acceptable values of composite reliability (CR) (0.76-0.88) and average variance extracted (AVE) (0.62-0.78), respectively. The square roots of the AVE exceeded the correlations of the factor pairs, and the heterotrait-monotrait (HTMT) ratio of the correlation values was below 0.85, indicating acceptable discriminant validity. CONCLUSION: The reliability, convergent validity, and discriminant validity tests all demonstrated that the Moroccan version of the CAST performed well and can be considered a valid tool for screening of problematic cannabis use.

Accuracy and replicability of identifying eyelid tremor as an indicator of recent cannabis smoking.

INTRODUCTION: Cannabis intoxication may increase the risk of motor vehicle crashes. However, reliable methods of assessing cannabis intoxication are limited. The presence of eyelid tremors is among the signs of cannabis use identified under the Drug Evaluation and Classification Program of the International Association of Chiefs of Police. Our objectives were to assess the accuracy and replicability of identifying eyelid tremor as an indicator of recent cannabis smoking using a blinded, controlled study design. METHODS: Adult subjects (N = 103) were recruited into three groups based on their cannabis use history: daily, occasional, and no current cannabis use. Participants' closed eyelids were video recorded for 30 seconds by infrared videography goggles before and at a mean ± standard deviation time of 71.4 ± 4.6 minutes after the onset of a 15-minute interval of ad libitum cannabis flower smoking or vaping. Three observers with expertise in neuro-ophthalmology and medical toxicology were trained on exemplar videos of eyelids to reach a consensus on how to grade eyelid tremor. Without knowledge of subjects' cannabis use history or time point (pre- or post-smoking), observers reviewed each video for eyelid tremor graded as absent, slight, moderate, or severe. During subsequent data analysis, this score was further dichotomized as a consensus score of absent (absent/slight) or present (moderate/severe). RESULTS: Kappa and intraclass correlation coefficient statistics demonstrated moderate agreement among the coders, which ranged from 0.44-0.45 and 0.58-0.61, respectively. There was no significant association between recent cannabis use and the observers' consensus assessment that eyelid tremor was present, and cannabis users were less likely to have tremors (odds ratio: 0.75; 95 percent confidence interval: 0.25, 2.40). The assessment of eyelid tremor as an indicator of recent cannabis smoking had a sensitivity of 0.86, specificity of 0.18, and accuracy of 0.64. DISCUSSION: Eyelid tremor has fair sensitivity but poor specificity and accuracy for identification of recent cannabis use. Inter-rater reliability for assessment of eyelid tremor was moderate for the presence and degree of tremor. The weak association between recent cannabis use and eyelid tremor does not support its utility in identifying recent cannabis use. LIMITATIONS: Videos were recorded at only one time point after cannabis use. Adherence to abstinence could not be strictly supervised. Due to regulatory restrictions, we were unable to control the cannabis product used or administer a fixed Δ9-tetrahydrocannabinol dose. Participants were predominately non-Hispanic and White. CONCLUSIONS: In a cohort of participants with a range of cannabis use histories, acute cannabis smoking was not associated with the presence of eyelid tremor, regardless of cannabis use history, at 70 minutes post-smoking. Additional research is needed to identify the presence of eyelid tremor accurately, determine the relationship between cannabis dose and timeline in relation to last cannabis use to eyelid tremor, and determine how it should be, if at all, utilized for cannabis Drug Recognition Evaluator examinations.

Associations between cannabis policies and state-level specialty cannabis use disorder treatment in the United States, 2004-2019.

BACKGROUND: Cannabis use disorder (CUD) treatment prevalence decreased in the US between 2002 and 2019, yet structural mechanisms for this decrease are poorly understood. We tested associations between cannabis laws becoming effective and self-reported CUD treatment. METHODS: Restricted-use 2004-2019 National Surveys on Drug Use and Health included people ages 12+ classified as needing CUD treatment (i.e., past-year DSM-5-proxy CUD or last/current specialty treatment for cannabis). Time-varying indicators of medical cannabis laws (MCL) with/without cannabis dispensary provisions differentiated state-years before/after laws using effective dates. Multi-level logistic regressions with random state intercepts estimated individual- and state-adjusted CUD treatment odds by MCLs and model-based changes in specialty CUD treatment state-level prevalence. Secondary analyses tested associations between CUD treatment and MCL or recreational cannabis laws (RCL). RESULTS: Using a broad treatment need sample definition in 2004-2014, specialty CUD treatment prevalence decreased by 1.35 (95 % CI = -2.51, -0.18) points after MCL without dispensaries and by 2.15 points (95 % CI = -3.29, -1.00) after MCL with dispensaries provisions became effective, compared to before MCL. Among people with CUD in 2004-2014, specialty treatment decreased only in MCL states with dispensary provisions (aPD = -0.91, 95 % CI = -1.68, -0.13). MCL were not associated with CUD treatment use in 2015-2019. RCL were associated with lower CUD treatment among people classified as needing CUD treatment, but not among people with past-year CUD. CONCLUSIONS: Policy-related reductions in specialty CUD treatment were concentrated in states with cannabis dispensary provisions in 2004-2014, but not 2015-2019, and partly driven by reductions among people without past-year CUD. Other mechanisms (e.g., CUD symptom identification, criminal-legal referrals) could contribute to decreasing treatment trends.

Cannabis use and neurocognitive performance at 13-14 Years-Old: Optimizing assessment with hair toxicology in the Adolescent brain cognitive development (ABCD) study.

OBJECTIVE: Cannabis is widely used, including in early adolescence, with prevalence rates varying by measurement method (e.g., toxicology vs. self-report). Critical neurocognitive development occurs throughout adolescence. Given conflicting prior brain-behavior results in cannabis research, improved measurement of cannabis use in younger adolescents is needed. METHODS: Data from the Adolescent Brain Cognitive Development (ABCD) Study Year 4 follow-up (participant age: 13-14 years-old) included hair samples assessed by LC-MS/MS and GC-MS/MS, quantifying THCCOOH (THC metabolite), THC, and cannabidiol concentrations, and the NIH Toolbox Cognitive Battery. Youth whose hair was positive for cannabinoids or reported past-year cannabis use were included in a Cannabis Use (CU) group (n = 123) and matched with non-using Controls on sociodemographics (n = 123). Standard and nested ANCOVAs assessed group status predicting cognitive performance, controlling for family relationships. Follow-up correlations assessed cannabinoid hair concentration, self-reported cannabis use, and neurocognition. RESULTS: CU scored lower on Picture Memory (p = .03) than Controls. Within the CU group, THCCOOH negatively correlated with Picture Vocabulary (r = -0.20, p = .03) and Flanker Inhibitory Control and Attention (r = -0.19, p = .04), and past-year cannabis use was negatively associated with List Sorting Working Memory (r = -0.33, p = .0002) and Picture Sequence Memory (r = -0.19, p = .04) performances. CONCLUSIONS: Youth who had used cannabis showed lower scores on an episodic memory task, and more cannabis use was linked to poorer performances on verbal, inhibitory, working memory, and episodic memory tasks. Combining hair toxicology with self-report revealed more brain-behavior relationships than self-report data alone. These youth will be followed to determine long-term substance use and neurocognition trajectories.

Development and Validation of Cannabis Use Disorder Scale among University Undergraduates in Nigeria.

BACKGROUND: Psychoactive substance use continues to be an important public health issue among the populace, most especially in adolescents and young adults. Cannabis is one of the commonly used substances with associated health complications, hence the necessity for its screening among at-risk people. Thus, our study set out to develop and validate a screening inventory, the Cannabis Use Disorder Scale (CUDS) for cannabis use detection among undergraduate students in Nigeria. METHODS: In a cross-sectional study of selected undergraduate students in a Nigerian University, the Cannabis Use Disorder Scale (CUDS) was developed by the authors and validated against a standard instrument, Cannabis Use Problem Identification Test (CUPIT). RESULTS: The mean age of the 306 participants was 21.9±2.69 years, made up of 70.6% males and 29.4% females. The mean score on CUDS was 41.00, and a score above this indicates a positive screen for cannabis use. In terms of validity, there was a strong correlation between CUDS and CUPIT scores, with Pearson Product Moment correlation coefficient, r=0.722** at p=0.01 on concurrent validity; and with construct validity, the Kaiser-Meyer Olkin (KMO) test yielded a KMO of 0.900, while the Barlett's tests of sphericity yielded an approximate Chi-Square of 2820.00,df=300, at p<0.01.Again, Cronbach's alpha for CUDS was found to be 0.906**, and Guttman split-half reliability to be 0.862** at p<0.05. CONCLUSION: In this study, the newly developed cannabis use screening inventory, CUDS was found to be a valid and reliable instrument for use in Nigeria.

CONTEXTE: L'utilisation de substances psychoactives continue d'être un problème de santé publique important parmi la population, en particulier chez les adolescents et les jeunes adultes. Le cannabis est l'une des substances couramment utilisées avec des complications de santé associées, d'où la nécessité de le dépister chez les personnes à risque. Ainsi, notre étude visait à développer et valider une échelle de dépistage, l'Échelle des Troubles Liés à la Consommation de Cannabis (CUDS) pour la détection de la consommation de cannabis chez les étudiants universitaires au Nigéria. MÉTHODES: Dans le cadre d'une étude transversale menée auprès d'étudiants universitaires sélectionnés dans une université nigériane, l'Échelle des Troubles Liés à la Consommation de Cannabis (CUDS) a été développée par les auteurs et validée par rapport à un instrument standard, le Test d'Identification des Problèmes Liés à la Consommation de Cannabis (CUPIT). RÉSULTATS: L'âge moyen des 306 participants était de 21,9±2,69 ans, avec une répartition de 70,6 % d'hommes et 29,4 % de femmes. Le score moyen au CUDS était de 41,00, et un score supérieur à cela indique un dépistage positif de la consommation de cannabis. En termes de validité, il y avait une forte corrélation entre les scores du CUDS et du CUPIT, avec un coefficient de corrélation de Pearson de 0,722** à p=0,01 pour la validité concurrente ; et en ce qui concerne la validité de construit, le test Kaiser-Meyer-Olkin (KMO) a donné un KMO de 0,900, tandis que le test de sphéricité de Barlett a donné un Chi-Carré approximatif de 2820,00, df=300, à p<0,01. De plus, l'alpha de Cronbach pour le CUDS s'est avéré être de 0,906**, et la fiabilité en demi-split de Guttman était de 0,862** à p<0,05. CONCLUSION: Dans cette étude, la nouvelle échelle de dépistage de la consommation de cannabis, le CUDS, s'est révélée être un instrument valide et fiable pour une utilisation au Nigéria. Mots-clés: Consommation de cannabis; CUDS; Validation Nigéria.

Country and sex measurement invariance of the Cannabis abuse screening test (CAST) in European Youth.

BACKGROUND: Monitoring the prevalence of problematic cannabis use is an important public health issue. International surveys need invariant measurement tools to allow reliable comparisons across countries and between sexes. The Cannabis abuse screening test (CAST) has been developed for this purpose. This study is the first assessing its country and sex invariance in a sample of European pupils. METHODS: The data come from the self-administered questionnaires completed in 2019 by pupils aged 15-16 in the European school survey project (Espad). The analytical sample was restricted to the 17 countries where at least 300 pupils reported a previous-year cannabis use (n = 8740); multigroup confirmatory factor analyses were used to assess the configural, metric and scalar invariance of the CAST toward country and sex in the 2019 Espad release. RESULTS: Configural, metric and scalar invariance toward country hold for the 17 countries: Austria, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Georgia, Greece, Italia, Latvia, Poland, Portugal, Slovakia, Slovenia and Spain. Scalar invariance toward sex was met in the 17 countries as a whole and in 11 of the 12 countries where the test could be run. Scalar invariance toward country was met with 6 additional countries comprising at least 250 respondents: Ireland, Lithuania, Malta, Montenegro, the Netherlands and Norway. CONCLUSION: The CAST is a suitable test for comparing the measurement of problematic cannabis use amongst adolescents in Europe.

Association between cannabis use disorder symptom severity and probability of clinically-documented diagnosis and treatment in a primary care sample.

BACKGROUND: Brief cannabis screening followed by standardized assessment of symptoms may support diagnosis and treatment of cannabis use disorder (CUD). This study tested whether the probability of a medical provider diagnosing and treating CUD increased with the number of substance use disorder (SUD) symptoms documented in patients' EHRs. METHODS: This observational study used EHR and claims data from an integrated healthcare system. Adult patients were included who reported daily cannabis use and completed the Substance Use Symptom Checklist, a scaled measure of DSM-5 SUD symptoms (0-11), during routine care 3/1/2015-3/1/2021. Logistic regression estimated associations between SUD symptom counts and: 1) CUD diagnosis; 2) CUD treatment initiation; and 3) CUD treatment engagement, defined based on Healthcare Effectiveness Data and Information Set (HEDIS) ICD-codes and timelines. We tested moderation across age, gender, race, and ethnicity. RESULTS: Patients (N=13,947) were predominantly middle-age, male, White, and non-Hispanic. Among patients reporting daily cannabis use without other drug use (N=12,568), the probability of CUD diagnosis, treatment initiation, and engagement increased with each 1-unit increase in Symptom Checklist score (p's<0.001). However, probabilities of diagnosis, treatment, and engagement were low, even among those reporting ≥2 symptoms consistent with SUD: 14.0% diagnosed (95% CI: 11.7-21.6), 16.6% initiated treatment among diagnosed (11.7-21.6), and 24.3% engaged in treatment among initiated (15.8-32.7). Only gender moderated associations between Symptom Checklist and diagnosis (p=0.047) and treatment initiation (p=0.012). Findings were similar for patients reporting daily cannabis use with other drug use (N=1379). CONCLUSION: Despite documented symptoms, CUD was underdiagnosed and undertreated in medical settings.

Tobacco/nicotine dependence as a risk factor for substance use disorders and related mental health conditions among cancer patients.

BACKGROUND: Cancer patients often face multiple comorbidities and are at risk for various mental health conditions and substance use disorders. Tobacco/nicotine dependence (TND) is a known risk factor for poor health outcomes and has been associated with psychiatric disorders including substance use disorder. However, the specific relationship between TND and the risk of substance use disorder and mental health conditions among cancer patients remains underexplored. This study aimed to assess the association between TND and the risk of comorbid conditions among cancer patients. METHODS: Data were obtained from a database of electronic health records for patients from the University of California health system. The odds for every condition among cancer patients with TND were calculated and compared with those for cancer patients without TND. ORs were adjusted for gender, ethnicity, and race. RESULTS: Three thousand seven hundred and ninety-one cancer patients with TND had 252,619 total conditions, and 51,711 cancer patients without TND had 2,310,880 conditions. After adjusting for confounders, the condition for which TND most exacerbated risk was psychoactive substance-induced organic anxiety disorder (OR = 16.3, p < 0.001). This appeared consistent with the second, third, and fifth most-exacerbated conditions: stimulant use disorder (OR = 12.8, p < 0.001), cocaine induced mental disorder (OR = 11.0, p < 0.001), and cocaine use disorder (OR = 11.0, p < 0.001). Different conditions exacerbated by TND include acute alcoholic intoxication (OR = 11.4, p < 0.001), opioid use disorder (OR = 7.6, p < 0.001), schizoaffective disorder (OR = 7.4, p < 0.001), and cannabis use disorder (OR = 6.3, p < 0.001). CONCLUSIONS: Our findings reveal a strong association between TND and an increased risk of substance use disorder and mental health conditions among cancer patients. Specifically, cancer patients with TND were at an elevated risk for psychoactive substance-induced organic anxiety disorder, stimulant use disorder, and cocaine-related disorders. Additionally, TND was associated with an increased risk of acute alcoholic intoxication, opioid use disorder, schizoaffective disorder, and cannabis use disorder. These findings underscore the need for comprehensive screening and interventions to address TND and comorbid conditions among cancer patients.

Cannabis Use Patterns and Whole-Blood Cannabinoid Profiles of Emergency Department Patients With Suspected Cannabinoid Hyperemesis Syndrome.

STUDY OBJECTIVES: The objectives of this study were to characterize the detailed cannabis use patterns (eg, frequency, mode, and product) and determine the differences in the whole-blood cannabinoid profiles during symptomatic versus asymptomatic periods of participants with suspected cannabinoid hyperemesis syndrome recruited from the emergency department (ED) during a symptomatic episode. METHODS: This is a prospective observational cohort study of participants with symptomatic cyclic vomiting onset after chronic cannabis use. Standardized assessments were conducted to evaluate for lifetime and recent cannabis use, cannabis use disorder, and cannabis withdrawal symptoms. Quantitative whole-blood cannabinoid testing was performed at 2 times, first when symptomatic (ie, baseline) and at least 2 weeks after the ED visit when asymptomatic. The differences in cannabinoid concentrations were compared between symptomatic and asymptomatic testing. The study was conducted from September 2021 to August 2022. RESULTS: There was a difference observed between delta-9-tetrahydrocannabinol metabolites, but not the parent compound during symptomatic episodes and asymptomatic periods. Most participants (84%) reported using cannabis > once per day (median 3 times per day on weekdays, 4 times per day on weekends). Hazardous cannabis use was universal among participants; the mean cannabis withdrawal discomfort score was 13, indicating clinically significant rates of cannabis withdrawal symptoms with cessation of use. Most participants (79%) previously tried to stop cannabis use, but a few (13%) of them had sought treatment. CONCLUSION: Patients presenting to the ED with cannabinoid hyperemesis syndrome have high cannabis use disorder scores. Further studies are needed to better understand the influence of THC metabolism and concentrations on symptomatic cyclic vomiting.

A neuropsychological approach to differentiating cannabis-induced and primary psychotic disorders.

AIM: Rates of cannabis use are elevated in early psychosis populations, rendering it difficult to determine if an episode of psychosis is related to cannabis use (e.g., cannabis-induced psychosis), or if substance use is co-occurring with a primary psychotic disorder (e.g., schizophrenia). Clinical presentations of these disorders are often indistinguishable, hindering assessment and treatment. Despite substantial research identifying cognitive deficits, eye movement abnormalities and speech impairment associated with primary psychotic disorders, these neuropsychological features have not been explored as targets for diagnostic differentiation in early psychosis. METHODS: Eighteen participants with cannabis-induced psychosis (Mage  = 21.9, SDage  = 4.25, 14 male) and 19 participants with primary psychosis (Mage  = 29.2, SDage  = 7.65, 17 male) were recruited from early intervention programs. Diagnoses were ascertained by primary treatment teams after a minimum of 6 months in the program. Participants completed tasks assessing cognitive performance, saccadic eye movements and speech. Clinical symptoms, trauma, substance use, premorbid functioning and illness insight were also assessed. RESULTS: Relative to individuals with primary psychosis, individuals with cannabis-induced psychosis demonstrated significantly better performance on the pro-saccade task, faster RT on pro- and anti-saccade tasks, better premorbid adjustment, and a higher degree of insight into their illness. There were no significant differences between groups on psychiatric symptoms, premorbid intellectual functioning, or problems related to cannabis use. CONCLUSIONS: In early stages of illness, reliance on traditional diagnostic tools or clinical interviews may be insufficient to distinguish between cannabis-induced and primary psychosis. Future research should continue to explore neuropsychological differences between these diagnoses to improve diagnostic accuracy.

Prevalence and correlates of cannabis use among individuals with DSM-5 social anxiety disorder: Findings from a nationally representative sample.

Cannabis use disorder (CUD) and frequency of use are highly related to social anxiety disorder (SAD). With updates to diagnostic criteria of psychiatric disorders and recent changes in cannabis laws, the present study sought to explore the relationships between cannabis use, CUD, and social anxiety in a large nationally representative sample of individuals with lifetime (N = 1255) and past-year SAD (N = 980). Notably, we found that at the symptom level, at least weekly cannabis use was significantly related to fear or avoidance of social situations interfering with relationships in both samples. Weekly + cannabis use and CUD were significantly associated with lifetime SAD symptom severity, but only weekly + cannabis use was related to SAD severity in the past-year sample. We also found that weekly + cannabis use but not CUD was related to greater odds of seeking treatment for SAD and suicide attempt history. Overall, these data provide an updated examination of cannabis use and SAD using DSM-5 criteria and a large nationally representative sample and also highlight the importance of weekly + cannabis use as a marker of severity and suicide risk in individuals with SAD.

Cannabis use breaks in young adults: The highs and lows of tolerance breaks.

BACKGROUND/PURPOSE: Cannabis tolerance breaks, or T-breaks, are believed to benefit persons who use cannabis (PUCs) by decreasing tolerance levels to cannabis. However, no prior research, to our knowledge, has compared the effects of T-breaks and other use breaks on cannabis use patterns and outcomes. The current study examined whether the occurrence of cannabis use breaks (tolerance and other use breaks), or the duration of these breaks, is associated with changes in hazardous cannabis use (CUDIT-R), CUD severity, cannabis use frequency, and withdrawal symptoms over a 6-month follow-up. METHODS: Young adults, who recreationally use cannabis, (N=170, 55.9% female, Mean age=21 yo) completed baseline and on-time 6-month assessments of hazardous cannabis use (CUDIT-R), CUD severity, cannabis use frequency, and withdrawal symptoms. The occurrence of cannabis use breaks and the duration of these breaks during the intervening period was assessed at 6 months. RESULTS: Taking a T-break was associated with an increase in hazardous cannabis use and CUD severity at 6 months. When considering cannabis use breaks for other reasons, a longer break was associated with a significant decrease in hazardous cannabis use (CUDIT-R), CUD severity, and cannabis use frequency at 6 months. CONCLUSION: Findings from our study suggest recreational PUCs who take a T-break may be at greater risk for problematic cannabis use. In addition, taking a longer cannabis use break for other reasons may have beneficial effects on cannabis-related outcomes. The ability to abstain from cannabis for other reasons may be protective while individuals who take T-breaks may be important targets for intervention and prevention.

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

BACKGROUND: Few 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. METHODS: We 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). RESULTS: Among 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. CONCLUSION: The 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.

Increasing risk of cannabis use disorder among U.S. veterans with chronic pain: 2005-2019.

ABSTRACT: In the United States, cannabis is increasingly used to manage chronic pain. Veterans Health Administration (VHA) patients are disproportionately affected by pain and may use cannabis for symptom management. Because cannabis use increases the risk of cannabis use disorders (CUDs), we examined time trends in CUD among VHA patients with and without chronic pain, and whether these trends differed by age. From VHA electronic health records from 2005 to 2019 (∼4.3-5.6 million patients yearly), we extracted diagnoses of CUD and chronic pain conditions ( International Classification of Diseases [ ICD ]- 9-CM , 2005-2014; ICD-10-CM , 2016-2019). Differential trends in CUD prevalence overall and age-stratified (<35, 35-64, or ≥65) were assessed by any chronic pain and number of pain conditions (0, 1, or ≥2). From 2005 to 2014, the prevalence of CUD among patients with any chronic pain increased significantly more (1.11%-2.56%) than those without pain (0.70%-1.26%). Cannabis use disorder prevalence increased significantly more among patients with chronic pain across all age groups and was highest among those with ≥2 pain conditions. From 2016 to 2019, CUD prevalence among patients age ≥65 with chronic pain increased significantly more (0.63%-1.01%) than those without chronic pain (0.28%-0.47%) and was highest among those with ≥2 pain conditions. Over time, CUD prevalence has increased more among VHA patients with chronic pain than other VHA patients, with the highest increase among those age ≥65. Clinicians should monitor symptoms of CUD among VHA patients and others with chronic pain who use cannabis, and consider noncannabis therapies, particularly because the effectiveness of cannabis for chronic pain management remains inconclusive.

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.

The association between preconception cannabis use and depression and anxiety during pregnancy.

OBJECTIVE: Cannabis use among individuals of reproductive age has increased with cannabis legalization and heightened stress during the COVID-19 pandemic. Our study provides data on preconception cannabis use and cannabis use disorder (CUD) during the pandemic and models the association between preconception cannabis use and depression and anxiety during pregnancy. METHODS: Data on substance use and depression and anxiety symptoms were collected from questionnaires and the Structured Clinical Interview for DSM-5 (SCID-5) from pregnant individuals in Oregon in 2019-2022. Linear regression was used to model the association between the frequency of preconception cannabis use and scores on the Center for Epidemiological Studies of Depression-Revised (CESD-R) and Beck Anxiety Inventory (BAI). RESULTS: The prevalence of preconception cannabis use was 27.8% among 227 study participants. CUD was diagnosed in 19% of cannabis users, or 5.3% of the overall sample. Daily cannabis use, compared to rare/never use, was associated with increases in CESD-R (ß = 6.22, p 0.029) and BAI (ß = 4.71, p 0.045) scores. CONCLUSIONS: Cannabis use and CUD are common among individuals of reproductive age. Given the association between preconception cannabis use and depression and anxiety during pregnancy, more attention is needed on screening and counseling of cannabis use among people of reproductive age.

Cannabis use for medical symptoms: Patterns over the first year of use.

BACKGROUND: As greater numbers of states in the United States and countries in the world continue to legalize cannabis for medical use, it has become increasingly important to assess patterns of cannabis use in individuals using cannabis for medical symptoms over time. A public health concern is that, like recreational cannabis, some individuals using cannabis for medical reasons may develop detrimental patterns of use, leading to the development of a cannabis use disorder (CUD). METHODS: In a 9-month longitudinal cohort study following a 12-week randomized, waitlist-controlled trial in 149 adults who used cannabis to alleviate insomnia, pain, depressed mood, or anxiety (RCT: NCT03224468), we assessed whether patterns of cannabis use for the 9 months following the RCT were associated with the development of CUD. RESULTS: We identified five unique trajectories of use; 31 participants (21%) had low stable or no use, 50 (34%) had medium stable use, 19 (13%) had high stable use, 26 (17%) showed de-escalating and 23 (15%) showed escalating use over 9 months following the RCT. Of 149 participants enrolled, 19 (13%) met diagnostic criteria for CUD at 12 months. Only the escalating cannabis use pattern predicted significantly higher rates of CUD compared to the low or no use category (OR = 4.29, 95% CI = 1.21 to 10.87, p = 0.02). CONCLUSIONS: These data indicate that most individuals using cannabis for medical symptoms have a stable pattern of use over the first year. Escalation of use may be a detrimental pattern that warrants further concern.

Pleiotropic loci for cannabis use disorder severity in multi-ancestry high-risk populations.

Cannabis use disorder (CUD) is common and has in part a genetic basis. The risk factors underlying its development likely involve multiple genes that are polygenetic and interact with each other and the environment to ultimately lead to the disorder. Co-morbidity and genetic correlations have been identified between CUD and other disorders and traits in select populations primarily of European descent. If two or more traits, such as CUD and another disorder, are affected by the same genetic locus, they are said to be pleiotropic. The present study aimed to identify specific pleiotropic loci for the severity level of CUD in three high-risk population cohorts: American Indians (AI), Mexican Americans (MA), and European Americans (EA). Using a previously developed computational method based on a machine learning technique, we leveraged the entire GWAS catalog and identified 114, 119, and 165 potentially pleiotropic variants for CUD severity in AI, MA, and EA respectively. Ten pleiotropic loci were shared between the cohorts although the exact variants from each cohort differed. While majority of the pleiotropic genes were distinct in each cohort, they converged on numerous enriched biological pathways. The gene ontology terms associated with the pleiotropic genes were predominately related to synaptic functions and neurodevelopment. Notable pathways included Wnt/ß-catenin signaling, lipoprotein assembly, response to UV radiation, and components of the complement system. The pleiotropic genes were the most significantly differentially expressed in frontal cortex and coronary artery, up-regulated in adipose tissue, and down-regulated in testis, prostate, and ovary. They were significantly up-regulated in most brain tissues but were down-regulated in the cerebellum and hypothalamus. Our study is the first to attempt a large-scale pleiotropy detection scan for CUD severity. Our findings suggest that the different population cohorts may have distinct genetic factors for CUD, however they share pleiotropic genes from underlying pathways related to Alzheimer's disease, neuroplasticity, immune response, and reproductive endocrine systems.

Temporal stability of neurophysiological drug cue reactivity before and after acute stress in cannabis users: A test of incentive sensitization.

BACKGROUND: Given increasing rates of Cannabis Use Disorder (CUD), objective measures are needed that can reliably index risk and track cannabis use progression. Based on incentive sensitization models, neurophysiological reactivity to cannabis cues, measured with the electroencephalography-recorded late positive potential (LPP), may be a candidate biomarker. To serve as such, the cannabis cue-elicited LPP must demonstrate adequate retest reliability and sensitivity to cannabis use change. Moreover, incentive sensitization theory suggests that state-level contextual variables, such as acute stress, can impact drug cue reactivity. Therefore, the present study evaluated the three-month retest reliability of the cannabis cue-elicited LPP, recorded before and after a laboratory stress induction, as well as its sensitivity to cannabis use change. METHOD: Cannabis and neutral cue-elicited LPPs were measured in 102 adults reporting frequent cannabis use (86 % with current CUD) before and after an acute stress induction at two lab visits three-months apart. Physiological and subjective stress reactivity were also measured. RESULTS: Manipulation checks confirmed expected cannabis cue and acute stress effects. Cannabis cue-elicited LPP amplitudes showed significant three-month retest reliability of poor-to-fair through moderate-to-good size. Change in cannabis use frequency significantly predicted change in cannabis cue-elicited LPP amplitudes, particularly at post-stress. CONCLUSION: Consistent with incentive sensitization models of addiction, the cannabis cue-elicited LPP demonstrated trait-like, moderate three-month stability and responsivity to change in cannabis use behavior. Greater predictive validity of the post-stress LPP may arise through kindling effects of acute stress on incentive salience-related neural activity, which should be explored in future studies.