Prevalence Of Cannabis Use Disorder Research Articles

Evaluation of the Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Questionnaire and its Relations to Cannabis-Related Problems.

Cannabis use and the prevalence of cannabis use disorder (CUD) among emerging adults are on the rise. Several indicators of cannabis use (e.g., quantity, frequency) as they relate to negative outcomes have been posited in the extant literature. Despite research examining links between indicators and cannabis outcomes, few assessments of cannabis use indicators exist. The Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory (DFAQ-CU) was developed to assess cannabis use across a range of factors. However, the factor structure of the DFAQ-CU has not been replicated. Further, the DFAQ-CU was modeled using reflective strategies despite formative strategies being conceptually appropriate. The present study utilized principal components analyses (PCA) and principal axis factoring (PAF) to evaluate the structure of the DFAQ-CU. PCA yielded a four-component solution; PAF resulted in a five-factor solution. Linear regression found significant relations between PCA components and PAF factors with CUD symptoms and cannabis-related problems; however, effect sizes were larger for the PAF suggesting possible misdisattenuation. The PCA components demonstrated evidence of discriminant and convergent validity with measures of cannabis and alcohol behavior. The study informs research and clinical work through the refinement of cannabis use assessment and enhancing our understanding of the importance of model selection.

Growing Prevalence of Cannabis Use Disorders Among Patients with Chronic Pain

Growing Prevalence of Cannabis Use Disorders Among Patients with Chronic Pain

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

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.

Assessing the Impact of Recreational Cannabis Legalization on Cannabis Use Disorder and Admissions to Treatment in the United States.

Policy implications from changes in recreational cannabis laws (RCLs) have raised public health concerns. While numerous studies have examined the impact of RCLs on cannabis use, there is less research on the risk of developing cannabis use disorder (CUD). This review summarizes the latest research on the effects of RCLs on CUD prevalence and cannabis treatment admissions. Nine studies were published between 2016 - 2022 that examined RCLs and CUD or treatment. Findings generally indicate an increase in CUD prevalence associated with legalization, but effects differ by age group. There was no significant association between legalization and CUD treatment admissions, and CUD admissions decreased overall during the study periods. To improve policy, prevention, and treatment services, policymakers should monitor RCLs' effects on adverse public health outcomes and researchers should consider the effects on individual and community-level characteristics. We discuss methodological challenges in conducting state-level research and provide suggestions for future studies.

Cannabis use disorder is associated with shorter length of stay and increased home discharge after primary total joint arthroplasty: a propensity-weighted analysis

IntroductionIncreased legalization of cannabis use across the United States has been correlated with increased cannabis use in the clinical setting. However, little is known regarding the characteristics and postoperative outcomes after primary joint arthroplasty (TJA) for patients with cannabis use disorder (CUD).MethodsThis retrospective cohort study used data from the National Inpatient Sample of patients undergoing primary TJA between 2006 to 2015. Patients were grouped based on presence of concomitant CUD. Patient demographic characteristics and outcome data between groups were analyzed. Propensity score methodology was used to compare immediate in-hospital complications and economic outcomes.ResultsA total of 8,740,798 TJAs were included. The prevalence of CUD increased nearly five-fold from 0.05% to 0.26% during this time (P < 0.0001). CUD patients were significantly younger, more likely to be male, most frequently of non-Hispanic Black race, and had higher rates of Medicaid insurance. Patients with CUD had a significantly shorter length of hospital stay (3.04 vs. 3.24 days, P = 0.0297), while incurring significantly higher daily ($22,614 vs. $17,955, P < 0.0001) and total charges during admission ($58,507 vs. $50,924, P < 0.0001), compared to patients without CUD. When compared with the control group, CUD was associated with significantly greater odds of home discharge (odds ratio (OR): 1.45, P = 0.0007), and significantly lower odds of rehab discharge (OR: 0.70, P = 0.0013). There were no differences in overall complication profile or in the vast majority of individual in-hospital complications between groups.ConclusionWhile CUD is correlated to shorter length of stay and increased home discharge after TJA, it does not show a strong effect on complications in an inpatient postoperative setting. It is important for clinicians to appreciate the demographic profile and expected clinical and economic outcomes for patients with CUD undergoing TJA, particularly in the context of evolving laws surrounding cannabis use.

Prevalence of cannabis use disorder among individuals using medical cannabis at admission to inpatient treatment for substance use disorders

IntroductionCannabis is used for medical and recreational purposes and may result in cannabis use disorder (CUD). This study explored the prevalence of cannabis use disorder and other psychiatric comorbidities among inpatients undergoing treatment for substance use disorder who reported medical cannabis use at admission. MethodsWe assessed CUD and other substance use disorders based on DSM-5 symptoms, anxiety with the Generalized Anxiety Disorder scale (GAD-7), depression with the Patient Health Questionnaire (PHQ-9), and post-traumatic stress disorder with the PTSD Checklist for DSM-5 (PCL-5). We compared the prevalence of CUD and other psychiatric comorbidities between inpatients who endorsed the use of cannabis for medical purposes only vs those endorsing use for medical and recreational purposes. ResultsAmong 125 inpatients, 42% reported medical use only, and 58% reported medical and recreational use (dual motives). For CUD, 28% of Medical-Only and 51% of Dual-Use motives patients met the diagnostic criteria for CUD (p = 0.016). High psychiatric comorbidities were present: 79% and 81% screened positive for an anxiety disorder, 60% and 61% screened positive for depression, and 66% and 57% screened positive for PTSD for the Medical-Only and Dual-Use inpatients, respectively. ConclusionsMany treatment-seeking individuals with substance use disorder who report medical cannabis use meet criteria for CUD, particularly those reporting concurrent recreational use.

Trends of the Global Burden of Disease Attributable to Cannabis Use Disorder in 204 Countries and Territories, 1990–2019: Results from the Disease Burden Study 2019

Cannabis is the fourth psychoactive substance to be legalized which are of far-reaching significance to the world. We analyzed data from the 2019 Global Burden of Disease Study (GBD) to estimate the incidence and prevalence of cannabis use disorder (CUD) and calculated the disease burden of CUD in 204 countries and territories and 21 regions over the past three decades. We reported disease burden due to CUD in terms of disability-adjusted life years (DALYs), age-standardized rate (ASR), estimated annual percentage change (EAPC), and analyzed associations between the burden of CUD and sociodemographic index (SDI) quintiles. Globally, the number of incidence cases of CUD was estimated to be increasing by 32.3% from 1990 to 2019 and males are nearly double higher than that of female. DALYs increase 38.6% from 1990. Young people aged 20–24 years old with cannabis use disorder have the highest DALYs in 2019, followed by those younger than 20 years old. India, Canada, USA, Qatar, Kenya, and high SDI quintile areas showed a high burden of disease. Nearly 200 million individuals are cannabis users worldwide, and CUD is a notable condition of GBD. The global cultivation of cannabis, rooted in different cultures, diversified access to cannabis, legalization in controversy, the promotion of medical cannabis, and many other factors promote the global cannabis industry is constantly updated and upgraded. It deserves more discussion in the future in terms of pathophysiological mechanisms, socioeconomics, law, and policy improvement.

Canada’s Cannabis Legalization with Strict Public Health Control

Abstract: Aims: To describe the impact of the legalization of cannabis for recreational use under strict public health control in 2018 on the following outcomes: cannabis use and use patterns, attributable harm, economic considerations. Methodology: Narrative review based on government documents, surveys, and published literature. Results: The 12-month prevalence increased after legalization and has decreased during the COVID-19 pandemic. Little change in prevalence for adolescents. Persons with daily use remained stable. No rigorous studies on changes in attributable health harm, but some indication that harm, as measured in prevalence of cannabis use disorders, treatment rate, and attributable traffic injury remained stable. No data yet available for cancer. Cannabis attributable emergency visits increased, including among children (poisoning). Cannabis-related offences decreased as biggest public health gain. Economic predictions were not realized, and there is some pressure from cannabis industry to loosen public health regulations in order to increase use. Conclusions: Overall, while not achieving its main objectives of more youth protection and decreases in cannabis-attributable health harm, legalization with strict public health control resulted in less cannabis-related offences and up to now did not seem to increase cannabis-attributable disease burden.

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.

Cannabis use, risk behaviours and harms in Brazil: A comprehensive review of available data indicators.

Cannabis use and related health/social outcome indicator data for Brazil-where non-medical cannabis is generally illegal-are limited. Towards a comprehensive overview of relevant indicators, we searched primary databases by combining MeSH-index terms related to cannabis, geographic location and subtopic terms (e.g., use, health, mortality) focusing on cannabis use and key outcome indicators in Brazil since 2010. In addition, relevant 'grey literature' (e.g., survey reports) was identified. Key indicator data were mainly narratively summarised. Overall, cannabis use has increased somewhat since pre-2010, with (past-year) use rates measured at 2-3% for general population adults, yet 5% or higher among youth and/or (e.g., post-secondary) student populations. For key risk behaviours, the presence of tetrahydrocannabinol-positivity among motor-vehicle drivers has been measured at <2%. While the prevalence of cannabis use disorder appears to have decreased, the relative proportion of treatment provided for cannabis-related problems increased. National- and local-based studies indicated an association of cannabis use with mental health harms, including depression and suicidality. Although some non-representative and/or local studies contain information, other monitoring data, including cannabis-related risks and harms (e.g., cannabis-related driving, mortality, hospitalisations), are limited in availability. The prevalence of cannabis use in Brazil is comparably low (e.g., relative to elsewhere in the Americas). Data on numerous key cannabis-related indicators is absent, or limited in scope for Brazil. Considering ongoing evolutions in cannabis control and its status as the most common illicit drug, more comprehensive surveillance of cannabis use and related outcomes is advised.

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.

Validity of the Single-Item Screen–Cannabis (SIS-C) for Cannabis Use Disorder Screening in Routine Care

Cannabis use is prevalent and increasing, and frequent use intensifies the risk of cannabis use disorder (CUD). CUD is underrecognized in medical settings, but a validated single-item cannabis screen could increase recognition. To evaluate the Single-Item Screen-Cannabis (SIS-C), administered and documented in routine primary care, compared with a confidential reference standard measure of CUD. This diagnostic study included a sample of adult patients who completed routine cannabis screening between January 28 and September 12, 2019, and were randomly selected for a confidential survey about cannabis use. Random sampling was stratified by frequency of past-year use and race and ethnicity. The study was conducted at an integrated health system in Washington state, where adult cannabis use is legal. Data were analyzed from May 2021 to March 2022. The SIS-C asks about frequency of past-year cannabis use with responses (none, less than monthly, monthly, weekly, daily or almost daily) documented in patients' medical records. The Diagnostic and Statistical Manual, Fifth Edition (DSM-5) Composite International Diagnostic Interview-Substance Abuse Module (CIDI-SAM) for past-year CUD was completed on a confidential survey and considered the reference standard. The SIS-C was compared with 2 or more criteria on the CIDI-SAM, consistent with CUD. All analyses were weighted, accounting for survey design and nonresponse, to obtain estimates representative of the health system primary care population. Of 5000 sampled adult patients, 1688 responded to the cannabis survey (34% response rate). Patients were predominantly middle-aged (weighted mean [SD] age, 50.7 [18.1]), female or women (weighted proportion [SE], 55.9% [4.1]), non-Hispanic (weighted proportion [SE], 96.7% [1.0]), and White (weighted proportion [SE], 74.2% [3.7]). Approximately 6.6% of patients met criteria for past-year CUD. The SIS-C had an area under receiver operating characteristic curve of 0.89 (95% CI, 0.78-0.96) for identifying CUD. A threshold of less than monthly cannabis use balanced sensitivity (0.88) and specificity (0.83) for detecting CUD. In populations with a 6% prevalence of CUD, predictive values of a positive screen ranged from 17% to 34%, while predictive values of a negative screen ranged from 97% to 100%. In this diagnostic study, the SIS-C had excellent performance characteristics in routine care as a screen for CUD. While high negative predictive values suggest that the SIS-C accurately identifies patients without CUD, low positive predictive values indicate a need for further diagnostic assessment following positive results when screening for CUD in primary care.

Prevalence of cannabis use disorder among pregnant people who test positive for cannabis at time of delivery

Cannabis use in pregnancy is common, but the reasons that some pregnant people continue use are unclear. This study aimed to assess the prevalence of cannabis use disorder and medicinal cannabis use among pregnant people who test positive for cannabis use at the time of delivery at a single institution. A standardized questionnaire was administered to postpartum people who tested positive for cannabis use by urine toxicology at the time of admission to the obstetrical care unit at the University of Maryland Medical Center. The questionnaire included questions modeled after the National Survey on Drug Use and Health's assessment of cannabis use disorder. The questionnaire also asked the respondent to indicate which symptoms, if any, they used cannabis to treat and whether cannabis had been recommended by a physician. Of 46 study respondents, 12 (26.1%) met the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, criteria for cannabis use disorder. Among the 37 respondents who answered questions about physician recommendation and treatment of symptoms, 28 (75.7%) reported using cannabis for symptom control, most commonly nausea or vomiting. Of note, 2 respondents reported having been recommended cannabis by a physician before they became pregnant but not specifically after becoming pregnant. Moreover, 31 of 35 respondents (88.5%) indicated that they intended to stop using cannabis during pregnancy. Here, a quarter of birthing people who tested positive for cannabis use at the time of delivery met the cannabis use disorder criteria. Further investigation is needed to identify barriers and unmet needs for substance use treatment.

Cannabis use and attenuated positive and negative symptoms in youth at clinical high risk for psychosis

Cannabis use is more prevalent among youth at clinical high-risk (CHR) for psychosis than healthy controls (HC). There is mixed evidence as to whether cannabis use is associated with increased severity of attenuated psychotic symptoms (APS) or whether current cannabis use is associated with the transition to psychosis. This study aims to assess cannabis use differences between CHR youth and HC and the impact of cannabis use on APS, clinical status, and transition to psychosis. Participants were from the North American Prodrome Longitudinal Study-3, a prospective longitudinal study including 710 individuals, age 12–30, meeting criteria for a psychosis risk syndrome based on the Structured Interview for Psychosis-Risk Syndromes, and 96 HC. Cannabis use, frequency, and severity of use were assessed with the Alcohol Use Scale/Drug Use Scale. Current and past cannabis use disorders were assessed with the Structured Clinical Interview for DSM-5. Compared to HC, CHR individuals reported significantly increased lifetime cannabis use, during the past six months, and at baseline; greater frequency and severity of cannabis use; and increased prevalence of cannabis use disorder. Relative to CHR youth without cannabis use, CHR cannabis users had significantly higher ratings on baseline grandiosity and lower 12-months social anhedonia. Severity of cannabis was unrelated to clinical status at 2-years, and it did not differentiate CHR individuals who transitioned to psychosis from those who did not. However, a major limitation was that the current number of CHR cannabis users was small, and survival analyses resulted in a smaller power than the 80 % recommended.

Trends in Cannabis Use Disorder Diagnoses in the U.S. Veterans Health Administration, 2005-2019.

In the United States, adult cannabis use has increased over time, but less information is available on time trends in cannabis use disorder. The authors used Veterans Health Administration (VHA) data to examine change over time in cannabis use disorder diagnoses among veterans, an important population subgroup, and whether such trends differ by age group (&lt;35 years, 35-64 years, ≥65 years), sex, or race/ethnicity. VHA electronic health records from 2005 to 2019 (range of Ns per year, 4,403,027-5,797,240) were used to identify the percentage of VHA patients seen each year with a cannabis use disorder diagnosis (ICD-9-CM, January 1, 2005-September 30, 2015; ICD-10-CM, October 1, 2015-December 31, 2019). Trends in cannabis use disorder diagnoses were examined by age and by race/ethnicity and sex within age groups. Given the transition in ICD coding, differences in trends were tested within two periods: 2005-2014 (ICD-9-CM) and 2016-2019 (ICD-10-CM). In 2005, the percentages of VHA patients diagnosed with cannabis use disorder in the &lt;35, 35-64, and ≥65 year age groups were 1.70%, 1.59%, and 0.03%, respectively; by 2019, the percentages had increased to 4.84%, 2.86%, and 0.74%, respectively. Although the prevalence of cannabis use disorder was consistently higher among males than females, between 2016 and 2019, the prevalence increased more among females than males in the &lt;35 year group. Black patients had a consistently higher prevalence of cannabis use disorder than other racial/ethnic groups, and increases were greater among Black than White patients in the &lt;35 year group in both periods. Since 2005, diagnoses of cannabis use disorder have increased substantially among VHA patients, as they have in the general population and other patient populations. Possible explanations warranting investigation include decreasing perception of risk, changing laws, increasing cannabis potency, stressors related to growing socioeconomic inequality, and use of cannabis to self-treat pain. Clinicians and the public should be educated about the increases in cannabis use disorder in general in the United States, including among patients treated at the VHA.

Medical conditions of primary care patients with documented cannabis use and cannabis use disorder in electronic health records: a case control study from an academic health system in a medical marijuana state

BackgroundApproximately 3.8% of adults worldwide have used cannabis in the past year. Understanding how cannabis use is associated with other health conditions is crucial for healthcare providers seeking to understand the needs of their patients, and for health policymakers. This paper analyzes the relationship between documented cannabis use disorders (CUD), cannabis use (CU) and other health diagnoses among primary care patients during a time when medical use of marijuana was permitted by state law in California, United States of America.MethodsThe study utilized primary care electronic health record (EHR) data from an academic health system, using a case–control design to compare diagnoses among individuals with CUD/CU to those of matched controls, and those of individuals with CUD diagnoses with individuals who had CU otherwise documented. Associations of documented CU and CUD with general medical conditions and health conditions associated with cannabis use (both medical and behavioral) were analyzed using conditional logistic regression.ResultsOf 1,047,463 patients with ambulatory encounters from 2013–2017, 729 (0.06%) had CUD diagnoses and 3,731 (0.36%) had CU documented in their EHR. Patients with documented CUD and CU patients had significantly (p < 0.01) higher odds of most medical and behavioral diagnoses analyzed. Compared to matched controls, CUD-documented patients had highest odds of other substance use disorders (OR = 21.44: 95% CI 9.43–48.73), any mental health disorder (OR = 6.99; 95% CI 5.03–9.70) social anxiety disorder (OR = 13.03; 95% CI 2.18–77.94), HIV/AIDS (OR = 7.88: 95% CI 2.58–24.08), post-traumatic stress disorder (OR = 7.74: 95% CI 2.66–22.51); depression (OR = 7.01: 95% CI 4,79–10.27), and bipolar disorder (OR = 6.49: 95% CI 2.90–14.52). Compared to matched controls, CU-documented patients had highest odds of other substance use disorders (OR = 3.64; 95% CI 2.53–5.25) and post-traumatic stress disorder (OR = 3.41; 95% CI 2.53–5.25). CUD-documented patients were significantly more likely than CU-documented patients to have HIV/AIDS (OR = 6.70; 95% CI 2.10–21.39), other substance use disorder (OR = 5.88; 95% CI 2.42–14.22), depression (OR = 2.85; 95% CI 1.90–4.26), and anxiety (OR = 2.19: 95% CI 1.57–3.05) diagnoses.ConclusionThe prevalence of CUD and CU notation in EHR data from an academic health system was low, highlighting the need for improved screening in primary care. CUD and CU documentation were associated with increased risk for many health conditions, with the most elevated risk for behavioral health disorders and HIV/AIDS (among CUD-documented, but not CU-documented patients). Given the strong associations of CUD and CU documentation with health problems, it is important for healthcare providers to be prepared to identify CU and CUD, discuss the pros and cons of cannabis use with patients thoughtfully and empathically, and address cannabis-related comorbidities among these patients.

A Bayesian learning model to predict the risk for cannabis use disorder

BackgroundThe prevalence of cannabis use disorder (CUD) has been increasing recently and is expected to increase further due to the rising trend of cannabis legalization. To help stem this public health concern, a model is needed that predicts for an adolescent or young adult cannabis user their personalized risk of developing CUD in adulthood. However, there exists no such model that is built using nationally representative longitudinal data. MethodsWe use a novel Bayesian learning approach and data from Add Health (n = 8712), a nationally representative longitudinal study, to build logistic regression models using four different regularization priors: lasso, ridge, horseshoe, and t. The models are compared by their prediction performance on unseen data via 5-fold-cross-validation (CV). We assess model discrimination using the area under the curve (AUC) and calibration by comparing the expected (E) and observed (O) number of CUD cases. We also externally validate the final model on independent test data from Add Health (n = 570). ResultsOur final model is based on lasso prior and has seven predictors: biological sex; scores on personality traits of neuroticism, openness, and conscientiousness; and measures of adverse childhood experiences, delinquency, and peer cannabis use. It has good discrimination and calibration performance as reflected by its respective AUC and E/O of 0.69 and 0.95 based on 5-fold CV and 0.71 and 1.10 on validation data. ConclusionThis externally validated model may help in identifying adolescent or young adult cannabis users at high risk of developing CUD in adulthood.

Medical Cannabis and Past-Year Cannabis Use Disorder Among Adult Recreational Users in the United States: Results From a Nationally Representative Sample

IntroductionWith the increasing number of cannabis users and more jurisdictions allowing medical cannabis, more evidence-based knowledge about the prevalence of cannabis use disorder (CUD) among medical users is greatly needed.ObjectivesTo examine and compare the prevalence and severity of CUD and the prevalence of different CUD criteria among two groups: those who combine recreational and medical use vs. those who exclusively use cannabis recreationally. To examine the association between CUD and sociodemographic characteristics, medical conditions, and psychiatric comorbidities between these two groups.MethodsThe National Epidemiological Survey on Alcohol and Related Conditions III data were used, a US nationally representative in-person interview of 36,309 adults aged ≥18 years collected in 2012–2013. The statistical examination included proportion comparison hypothesis testing and linear regressions, all using complex survey design analysis procedures.ResultsRecreational users who used cannabis also for medical purposes had a higher prevalence of CUD in general, as well as mild and moderate CUD than users who used cannabis only for recreational purposes. CUD is more prevalent in recreational, medical users with the following characteristics: young, male, non-white, living in the Midwest, using a greater amount of cannabis, having a concurrent mental disorder, and had CUD before the past year.ConclusionRecreational, medical cannabis users have a higher likelihood of having CUD. Although the results should be taken with caution, given the lack of established validity of CUD among medical users, health care professionals who prescribe or recommend the use of cannabis for medical purposes should take this into consideration while evaluating the risks/benefits ratio of cannabis. They need to assess patients' recreational cannabis use, screen for CUD, and educate users about the possible complications caused by cannabis use.

Cannabis Use Disorder in the Setting of Primary Total Hip Arthroplasty: Understanding the Epidemiology, Demographic Characteristics, and Inpatient Postoperative Outcomes.

Cannabis use is expected to increase in the context of its decriminalization and legalization in several states. The purpose of this study was to report on the epidemiologic and demographic characteristics and inpatient postoperative outcomes of patients with cannabis use disorder (CUD) undergoing primary total hip arthroplasty (THA). The National Inpatient Sample registry was used to identify patients undergoing THA between 2006 and 2015. Patients were stratified into groups with and without CUD. Epidemiology, comorbidity, and outcomes data were comparatively analyzed between these two groups. A total of 2,838,742 THAs were performed during the study period. The prevalence of CUD significantly increased from 0.10% in 2006 to 0.39% in 2015 (P < 0.0001). Patients with CUD were significantly younger, more likely to be male, had higher rates of Medicaid insurance and were more likely to be non-Hispanic Black and less likely to be non-Hispanic White when compared with the control group. When comparing patients with and without CUD, there was no significant difference in the composite any complication variable and no significant difference in seven of eight individual in-hospital complications assessed, with the exception being higher genitourinary complications in the CUD group. There were no significant differences in discharge disposition or length of stay. Although CUD is significantly associated with various demographic, comorbidity, and hospital characteristics, it is not significantly associated with in-hospital complications, discharge disposition, and length of stay outcomes in the immediate in-hospital, postoperative period. It is critical for clinicians and public health professionals to understand the characteristics and expected inpatient outcomes of this evolving population of patients with CUD undergoing THA, particularly in the context of widespread legalization. Level III.

Prevalence and correlates of cannabis use disorder among Australians using cannabis products to treat a medical condition.

Prior research has examined the prevalence and correlates of cannabis use disorder (CUD) in people who use cannabis; however, these are poorly described for people using cannabis for medical reasons. Data came from a 2018 to 2019 online, anonymous, cross-sectional survey of Australians reporting using either illicit or licit cannabis for medical reasons within the past year. Included were questions on demographics, current and lifetime patterns of cannabis use, clinical conditions for which medical cannabis was used, and individual criteria for CUD and cannabis withdrawal syndrome. Bayesian Horseshoe logistic regression models were used to identify covariates associated with meeting CUD DSM-5 conditions for any-CUD (≥2/11 criteria) and moderate-severe-CUD (≥4/11). A total of 905 participants were included in the analysis. The majority (98%) used illicit cannabis products. Criteria for any-CUD criteria were met by 290 (32.0%), and 117 (12.9%) met criteria for moderate-severe-CUD. Tolerance (21%) and withdrawal (35%) were the most commonly met criteria. Correlates with the strongest association with CUD were inhaled route of administration [odds ratio (OR)=2.96, 95% credible interval 1.11, 7.06], frequency of cannabis use (OR=1.24, 1.11-1.35), proportion of cannabis for medical reasons (OR=0.83, 0.74, 0.94), frequency of tobacco use (OR=1.10, 1.03, 1.17), age (OR=0.75, 0.64, 0.90) and pain as main clinical indication (OR=0.58, 0.36, 1.00). Prevalence of CUD in medical cannabis users appears comparable to 'recreational' users, with many similar correlates. CUD was associated with using cannabis to treat mental health rather than pain conditions and inhaled over other routes of administration.