Adult use cannabis legalization and cannabis use disorder treatment in California, 2010-2021.

INTRODUCTION: Many nations and jurisdictions have legalized non-medical adult use of cannabis, or are considering doing so. This paper contributes to knowledge of adult use legalization's associations with cannabis use disorder (CUD) treatment utilization. METHODS: This study collected data from a dataset of all publicly funded substance use disorder treatment delivered in California from 2010 to 2021 (1,460,066 episodes). A logistic regression model estimates adult use legalization's impacts on CUD treatment utilization using an individual-level pre-post time series model, including individual and county-level characteristics and county and year-fixed effects. RESULTS: Adult use legalization was associated with a significant decrease in the probability of admission to CUD treatment (average marginal effect (AME): -0.005, 95 % CI: -0.009, 0.000). Adult use legalization was also associated with a decrease in the probability of admission to CUD treatment for males (AME: -0.025, 95 % CI: -0.027, -0.023) Medi-Cal beneficiaries (AME: -0.025, 95 % CI: -0.027, -0.023) adults ages 21+ (AME: -0.011, 95 % CI: -0.014, -0.009) and Whites (AME: -0.012, 95 % CI: -0.015, -0.010), and an increase in the probability of admission to CUD treatment for patients referred from the criminal justice system (AME: 0.017, 95 % CI: 0.015, 0.020) and Blacks (AME: 0.004, 95 % CI: 0.000, 0.007) and Hispanics (AME: 0.009, 95 % CI: 0.006, 0.011). CONCLUSIONS: Adult use legalization is associated with declining CUD treatment admissions, even though cannabis-related problems are becoming more prevalent. Policies and practices that protect public health, and engage people with CUD in treatment are needed.

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.

Why Are Adolescent Cannabis Use Disorder Treatment Admissions Declining in the US? The Mediated Pathway of State Treatment Admissions Rates before and after Recreational Cannabis Legalization.

Purpose: State-level prevalence data are used to investigate whether recreational cannabis legalization moderates the mediated pathway from the perception of low risk of harm, to cannabis use, to cannabis use disorder (CUD) treatment admissions, among adolescents (age 12-17) in the US. Methods: Annual state prevalence measures of perception of low risk, cannabis use, and CUD treatment admissions between 2008 and 2019 (N = 542 state-year observations) were collected from the National Survey on Drug Use and Health (NSDUH) and the Treatment Episode Dataset - Admissions (TEDS-A). A two-way fixed effects (state and year) moderated mediation model was used to test whether recreational legalization moderated the indirect effect of perception of low risk on treatment admissions via cannabis use. Results: A positive indirect effect of perceiving cannabis as low risk on CUD treatment admissions via cannabis use was observed prior to legalization but not afterwards. After legalization, the positive association of perceiving cannabis as low risk with cannabis use was strengthened, and the positive association of cannabis use with treatment admissions was suppressed, as compared to before legalization. Discussion: Recreational legalization may alter the social acceptability and medical self-administration of cannabis, potentially leading to CUD treatment utilization decline among adolescents even as risk factors for CUD increase. Linking recreational cannabis legalization to advancing awareness of the health risks associated with adolescent cannabis use and promoting adolescent CUD treatment engagement through mHealth approaches and primary care providers are key to addressing potential adolescent health challenges brought about by expanding cannabis legalization.

Associations between smoking and pain in early recovery in residential substance use treatment-seekers.

INTRODUCTION: A growing literature indicates bidirectional associations between pain and tobacco use. Cigarette smokers are at increased risk for chronic pain, and observational and experimental studies indicate that pain increases motivation to smoke. Tobacco use disorder frequently co-occurs with other substance use disorders, which are also associated with chronic pain vulnerability. Despite evidence that pain significantly predicts smoking and relapse, associations between smoking history/trajectory and changes in pain over the course of treatment have not been characterized. The objective of the study was to determine the association between in-treatment smoking trajectory, pack-years (i.e., number of cigarette packs smoked per day multiplied by smoking duration), pain-related interference in daily activities, and pain intensity over the course of residential treatment. METHODS: In this study, 280 adult smokers in a residential SUD treatment center in North Central Florida completed questionnaires assessing cigarette use, pain intensity, and pain interference at treatment entry and discharge (Mean = 80.3 days, SD = 25.6). Most participants were diagnosed with alcohol use disorder (66.1 %). Opioid (27.9 %) and cannabis use disorders (29.6 %) were also common. Participants were grouped by whether their smoking increased (n = 36), decreased (n = 46), or stayed the same (n = 133) from entry to discharge. RESULTS: Analyses indicated a positive association between pack-years and pain intensity at both baseline (r = 0.185, p = 0.018) and discharge (r = 0.184, p = 0.019). Smoking trajectory was associated with pack-years, with those decreasing smoking having greater pack-years than those sustaining or increasing use [F(2,136) = 8.62, p < 0.01, η2p = 0.114]. Mixed general linear models indicated pain intensity [F(1,274) = 44.15, p < 0.0001, η2p = 0.138] and interference in day-to-day activities [F(1,276) = 31.79, p < 0.0001, η2p = 0.103] decreased significantly over time. However, there was no main effect of smoking trajectory on pain intensity [F(2,212) = 2.051, p = 0.131, η2p = 0.019] or of smoking trajectory by time interaction [F(2, 212) = 1.228, p = 0.295, η2p = 0.011]. CONCLUSIONS: Overall, findings provide evidence that smoking behavior influences pain within the context of residential substance use treatment. Given that pain is associated with urge to use substances and risk of return to use, more consistent and rigorous assessment of pain and proactive pain management is likely to enhance substance use treatment outcomes among people who smoke.

A call for mindfulness-based interventions for cannabis-use disorders.

Cannabis use is being increasingly liberalized worldwide, and an increasing prevalence of cannabis-use disorder (CUD) is observed. The few current therapeutic options for CUD are only modestly effective. Mindfulness-based interventions offer promising prospects for the management of substance-use disorders. However, despite proliferating literature on mindfulness and substance use, few studies have explored mindfulness in terms of cannabis use and CUD. There are many possibilities for the implementation of mindfulness-based interventions for cannabis use reduction, especially for younger users, who are more vulnerable to cannabis-related harms. Accordingly, large controlled trials are needed to reliably assess the potential of such interventions.

Psychiatric and substance use disorders among adults over age 50 who use cannabis: A matched cohort study using electronic health record data.

INTRODUCTION: Adults over age 50 increasingly use cannabis, but few studies have examined co-occurring psychiatric and substance use disorders (SUDs) in this population. The current study utilized electronic health record (EHR) data to compare adults age 50 + with ICD-10 cannabis codes (cases) and matched controls on common psychiatric and SUDs from 2016 to 2020. METHOD: Patients age 50 + from an integrated healthcare system in Hawai'i were identified using ICD-10 codes for cannabis (use, abuse, and dependence) from 2016 to 2018. In a matched cohort design, we selected non-cannabis-using controls (matched on sex and age) from the EHR (n = 275) and compared them to cases (patients with an ICD-10 cannabis code; n = 275) on depressive and anxiety disorders and SUDs (i.e., tobacco, opioid, and alcohol use disorders) over a two-year follow-up period. RESULTS: Participants were 62.8 years (SD = 7.3) old on average; and were White (47.8 %), Asian American (24.4 %), Native Hawaiian or Pacific Islander (19.3 %), or Unknown (8.5 %) race/ethnicity. Conditional multiple logistic regression was used to estimate odds ratios comparing cases vs controls. Participants with an ICD-10 cannabis code had a significantly greater risk of major depressive disorder (OR = 10.68, p < 0.0001) and any anxiety disorder (OR = 6.45, p < 0.0001), as well as specific anxiety or trauma-related disorders (e.g., generalized anxiety disorder, PTSD) and SUDs (ORs 2.72 - 16.00, p < 0.01 for all). CONCLUSIONS: Over a two-year period, diverse adults age 50 + in Hawai'i with ICD-10 cannabis codes experienced higher rates of subsequent psychiatric and SUDs compared to controls. These findings can guide efforts to inform older adults about possible cannabis-related risks.

Prevalence of Cannabis Use Disorder and Reasons for Use Among Adults in a US State Where Recreational Cannabis Use Is Legal.

Importance: Medical and nonmedical cannabis use and cannabis use disorders (CUD) have increased with increasing cannabis legalization. However, the prevalence of CUD among primary care patients who use cannabis for medical or nonmedical reasons is unknown for patients in states with legal recreational use. Objective: To estimate the prevalence and severity of CUD among patients who report medical use only, nonmedical use only, and both reasons for cannabis use in a state with legal recreational use. Design, Setting, and Participants: This cross-sectional survey study took place at an integrated health system in Washington State. Among 108 950 adult patients who completed routine cannabis screening from March 2019 to September 2019, 5000 were selected for a confidential cannabis survey using stratified random sampling for frequency of past-year cannabis use and race and ethnicity. Among 1688 respondents, 1463 reporting past 30-day cannabis use were included in the study. Exposure: Patient survey-reported reason for cannabis use in the past 30 days: medical use only, nonmedical use only, and both reasons. Main Outcomes and Measures: Patient responses to the Composite International Diagnostic Interview-Substance Abuse Module for CUD, corresponding to Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition CUD severity (0-11 symptoms) were categorized as any CUD (≥2 symptoms) and moderate to severe CUD (≥4 symptoms). Adjusted analyses were weighted for survey stratification and nonresponse for primary care population estimates and compared prevalence of CUD across reasons for cannabis use. Results: Of 1463 included primary care patients (weighted mean [SD] age, 47.4 [16.8] years; 748 [weighted proportion, 61.9%] female) who used cannabis, 42.4% (95% CI, 31.2%-54.3%) reported medical use only, 25.1% (95% CI, 17.8%-34.2%) nonmedical use only, and 32.5% (95% CI, 25.3%-40.8%) both reasons for use. The prevalence of CUD was 21.3% (95% CI, 15.4%-28.6%) and did not vary across groups. The prevalence of moderate to severe CUD was 6.5% (95% CI, 5.0%-8.6%) and differed across groups: 1.3% (95% CI, 0.0%-2.8%) for medical use, 7.2% (95% CI, 3.9%-10.4%) for nonmedical use, and 7.5% (95% CI, 5.7%-9.4%) for both reasons for use (P = .01). Conclusions and Relevance: In this cross-sectional study of primary care patients in a state with legal recreational cannabis use, CUD was common among patients who used cannabis. Moderate to severe CUD was more prevalent among patients who reported any nonmedical use. These results underscore the importance of assessing patient cannabis use and CUD symptoms in medical settings.

Cannabis Use Among U.S. Military Veterans Following Residential Substance Use Disorder Treatment.

INTRODUCTION: Use rates of cannabis, a substance associated with a host of comorbid physical and mental health concerns, continue to rise for military veterans. Despite this prevalence, descriptive patterns of use among veterans and research on treatment factors that predict cannabis outcomes are lacking. This study aimed to conduct a descriptive profile of veterans who endorse cannabis use, compare veterans endorsing cannabis use to those who do not endorse use, and investigate what factors (other substance use, psychiatric symptoms, and treatment outcomes) predicted return to cannabis use following residential treatment. MATERIALS AND METHODS: The study was a secondary data analysis of a longitudinal sample of U.S. military veterans (N = 200, 193 males, Mage = 50.14, SD = 9) participating in residential substance use disorder treatment through a Veterans Affairs medical center. Interview, survey, and electronic health data were collected over 12 months. Analyses included descriptive and frequency statistics to identify patterns in cannabis use behaviors and motives, independent t-tests to examine differences between the cannabis-using group and non-using group, and a series of univariate logistic regressions to examine potential predictors for cannabis use after treatment discharge. RESULTS: Lifetime cannabis use was common among veterans (77.5%), and 29.5% reported use during the study. On average, veterans had made one quit attempt before treatment entry. Veterans who endorsed cannabis use consumed more alcohol in the past 30 days at baseline and reported less impulse control and less confidence in maintaining abstinence at discharge. Length of stay in the residential program and no diagnosis of Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV cannabis use disorder criteria predicted post-treatment cannabis use such that veterans who remained in the program longer were more likely to abstain from cannabis use following treatment, and those who did not meet DSM-IV cannabis use disorder criteria were more likely to use following treatment. CONCLUSIONS: Identification of relevant risk factors and treatment processes, such as impulse control, confidence in treatment, and length of stay in treatment, provides practical recommendations for future intervention efforts. This study calls for further examination of cannabis use outcomes among veterans, particularly those participating in substance use treatment.

Treatment outcomes among pregnant women with cannabis use disorder.

Cannabis use disorder (CUD) among pregnant women is on the rise in the United States. The American College of Obstetricians and Gynecologists have recommended against the use of cannabis during pregnancy and breastfeeding. However, limited research exists on CUD treatment in this vulnerable population. The purpose of this study was to examine factors that influence CUD treatment completion in pregnant women. Data from the 2010-2019 Treatment Episode Data Set-Discharges (TEDS-D) were used (n = 7,319 pregnant women who reported CUD and had no prior treatment history). Descriptive statistics, logistic regression, and classification tree analyses were conducted to assess treatment outcomes. Only 30.3% of the sample completed CUD treatment. Length of stay between 4 and 12 months was associated with a higher likelihood of CUD treatment completion. The odds of treatment completion were higher if the referral source was alcohol/drug use care provider (AOR = 1.60, 95% CI [1.01, 2.54]), other community referral (AOR = 1.65, 95% CI [1.38, 1.97]), and the court/criminal justice (AOR = 2.29, 95% CI [1.92, 2.72]) relative to being referred by individual/self. A relatively high proportion of CUD treatment completion (52%) was observed among pregnant women who had > 1 month of CUD treatment and were referred to the treatment program by the criminal justice system. For pregnant women, referrals from the justice system, community, and healthcare providers can increase the likelihood of successful CUD treatment outcomes. Developing targeted CUD treatments for pregnant populations is crucial due to increasing CUD rates, cannabis accessibility, and potency.

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

INTRODUCTION: Cannabis 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. METHODS: We 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. RESULTS: Among 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. CONCLUSIONS: Many treatment-seeking individuals with substance use disorder who report medical cannabis use meet criteria for CUD, particularly those reporting concurrent recreational use.

Recreational cannabis legalization alters associations among cannabis use, perception of risk, and cannabis use disorder treatment for adolescents and young adults.

OBJECTIVE: Understanding how recreational cannabis legalization may impact cannabis use disorder (CUD) among adolescents and young adults is key to developing an appropriate public health response. This research investigates whether associations among adolescent and young adult perception of risk of harm from cannabis use, prevalence of past-month cannabis use, and rate of CUD treatment admissions changed following recreational cannabis legalization in the US, 2008-2019. METHODS: Data from the NSDUH and TEDS-A datasets are employed in difference-in-differences models of the effect of recreational legalization on perception of risk, cannabis use prevalence, and CUD treatment admissions. Moderated models test whether associations among variables changed following recreational legalization. RESULTS: Following recreational legalization: 1) adolescent and young adult past-month cannabis use prevalence increased; 2) among both adolescents and young adults, the association of lower perception of risk of harm with higher cannabis use prevalence was strengthened; 3) among adolescents, the association of higher cannabis use prevalence with higher CUD treatment admissions was suppressed; and 4) among young adults, an association of higher cannabis use prevalence with lower CUD treatment admissions emerged. CONCLUSIONS: Recreational legalization is likely to increase cannabis use among adolescents and young adults who perceive cannabis as less harmful, while at the same time reduce rates of CUD treatment utilization. These trends portend an increase in unmet need for CUD treatment for age groups particularly vulnerable to the development and negative consequences of CUD.

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

Importance: 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. Objective: 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. Design, Setting, and Participants: 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. Exposures: 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. Main Outcomes and Measures: 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. Results: 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%. Conclusions and Relevance: 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.

Trends in cannabis or cocaine-related dependence and alcohol/drug treatment in Argentina, Chile, and Uruguay.

BACKGROUND: In the context of changing cannabis and other drug policy and regulation, concerns may arise regarding drug treatment access and use. We assessed cannabis/cocaine-related dependence and treatment in Argentina, Chile, and Uruguay. METHODS: Nationally representative cross-sectional household surveys of people ages 15-64 in Argentina (4 surveys, 2006-2017), Chile (7 surveys, 2006-2018), and Uruguay (4 surveys, 2006-2018) were harmonized. We estimated weighted prevalences of cannabis or cocaine-related (cocaine or cocaine paste) dependence, based on meeting 3+ past-year ICD-10 dependence criteria. We estimated weighted prevalences of past-year alcohol/drug treatment use (Argentina, Chile) or use/seeking (Uruguay) among people with past-year cannabis/cocaine-related dependence. We tested model-based prevalence trends over time and described individual-level treatment correlates by country. RESULTS: Cannabis/cocaine dependence prevalence increased in the region starting in 2010-2011, driven by cannabis dependence. Adjusted cannabis dependence prevalence increased from 0.7% in 2010 to 1.5% in 2017 in Argentina (aPD=0.8, 95% CI= 0.3, 1.2), from 0.8% in 2010 to 2.8% in 2018 in Chile (aPD=2.0, 95% CI= 1.4, 2.6), and from 1.4% in 2011 to 2.4% in 2018 in Uruguay (aPD=0.9, 95% CI= 0.2, 1.6). Cocaine-related dependence increased in Uruguay, decreased in Argentina, and remained stable in Chile. Among people with past-year cannabis/cocaine dependence, average alcohol/drug treatment use prevalence was 15.3% in Argentina and 6.0% in Chile, while treatment use/seeking was 14.7% in Uruguay. Alcohol/drug treatment prevalence was lower among people with cannabis dependence than cocaine-related dependence. Treatment correlates included older ages in all countries and male sex in Argentina only. CONCLUSION: Alcohol/drug treatment use among people with cannabis/cocaine-related dependence remained low, signaling an ongoing treatment gap in the context of growing cannabis dependence prevalence in the region. Additional resources may be needed to increase treatment access and uptake. Future studies should assess contributors of low treatment use, including perceived need, stigma, and service availability.

Admissions to substance use treatment facilities for cannabis use disorder, 2000-2017: Does legalization matter?

BACKGROUND AND OBJECTIVES: A growing number of US states have legalized marijuana use in the past decade. We examined if marijuana legalization is associated with increased marijuana-related admissions to substance use treatment facilities between 2000 and 2017. METHODS: Data from the Treatment Episode Data Set-Admissions were used to examine the relationship between marijuana-related admissions among adults aged ≥18 by year and legalization status (i.e., fully legalized, medical use only [partially legalized], and illegal) (N = 35,457,854). Using interaction analyses, we further examined whether certain patient characteristics were associated with residence in states that legalized marijuana use as compared to those in which marijuana remained illegal. RESULTS: Overall, the proportion of marijuana-related admissions in states with legalization decreased by 2.3% from 31.7% in 2000-2005 to 29.4% in 2012-2017 (odds ratio [OR], 0.90; 95% confidence intervals [CI], 0.89-0.90) with little difference from states where marijuana use remained illegal, in which marijuana use as any reason for admissions decreased by 0.3% from 39.8% in 2000-2005 to 39.5% in 2012-2017 (OR, 0.99; 95% CI, 0.98-0.99). We did not find any striking patient characteristics (e.g., referral by the police) associated with admissions in states that legalized compared to those that had not. DISCUSSION AND CONCLUSIONS: While earlier studies suggested that marijuana legalization is associated with increased levels of use, emergency department visits, and traffic fatalities, our findings suggest that marijuana legalization did not increase marijuana-related treatment use in the United States. SCIENTIFIC SIGNIFICANCE: This is the first study to examine the association of marijuana legalization with marijuana-related treatment use.

Predictors of no, low and frequent emergency department use for any medical reason among patients with cannabis-related disorders attending Quebec (Canada) addiction treatment centres.

INTRODUCTION: Patients with substance-related disorders and mental disorders (MD) contribute substantially to emergency department (ED) overcrowding. Few studies have identified predictors of ED use integrating service use correlates, particularly among patients with cannabis-related disorders (CRD). This study compared predictors of low (1-2 visits/year) or frequent (3+ visits/year) ED use with no ED use for a cohort of 9836 patients with CRD registered at Quebec (Canada) addiction treatment centres in 2012-2013. METHODS: This longitudinal study used multinomial logistic regression to evaluate clinical, sociodemographic and service use variables from various databases as predictors of the frequency of ED use for any medical reason in 2015-2016 among patients with CRD. RESULTS: Compared to non-ED users with CRD, frequent ED users included more women, rural residents, patients with serious MD and chronic CRD, dropouts from programs in addiction treatment centres and with less continuity of physician care. Compared with non-users, low ED users had more common MD and there more workers than students. DISCUSSION AND CONCLUSIONS: Multimorbidity, including MD, chronic physical illnesses and other substance-related disorders than CRD, predicted more ED use and explained frequent use of outpatient services and prior specialised acute care, as did being 12-29 years, after controlling for all other covariates. Better continuity of physician care and reinforcement of programs like assertive community or integrated treatment, and chronic primary care models may protect against frequent ED use. Strategies like screening, brief intervention and treatment referral, including motivational therapy for preventing treatment dropout may also be expanded to decrease ED use.

Profiles of individuals with cannabis-related disorders.

Background: Profiles of individuals with cannabis-related disorders (CRD) in specialized addiction treatment centers serving high-need patients have not been identified. This longitudinal study developed a typology for 9,836 individuals with CRD attending Quebec (Canada) addiction treatment centers in 2012-2013. Methods: Data on sociodemographic, clinical and service use variables were extracted from several databases for the years 1996-1997 to 2014-2015. Individual profiles were produced using Latent Class Analysis and compared predicting health outcomes on emergency department (ED) use, hospitalizations and suicidal behaviors for 2015-2016. Results: Six profiles were identified: 1-Older individuals, many living in couples and working, with moderate health problems, receiving intensive general practitioner (GP) care and high continuity of physician care; 2-Older individuals with chronic CRD, multiple social and health problems, and low health service use (chronic CRD referred to experiencing CRD for several years; social problems related to homelessness, unemployment, having criminal records or living alone); 3-Students with few social and health problems, and low health service use; 4-Young adults, many working, with few health problems, least health service use and continuity of physician care; 5-Youth, many working but some criminal offenders, with 1 or 2 years of CRD, few health problems and high addiction treatment center use; and 6-Older individuals with chronic CRD and multiple social and health problems, high health service use and continuity of physician care. Profiles 6 and 2 had the worst health outcomes. Conclusions: For Profiles 2 to 5, outreach and motivational services should be prioritized, integrated health and criminal justice services for profile 5 and, for Profiles 2 and 6, assertive community treatments. Screening, brief intervention and referrals to addiction treatment centers may also be encouraged for individuals with CRD, particularly those in Profile 2. This cohort had high social and health needs relative to services received, suggesting continued need for care.

Spiritual Benefit from Cannabis.

Like many mind-altering plants, cannabis has been part of spiritual practices for thousands of years. It has deep roots in Hinduism, Islam, Rastafarianism, and indigenous traditions in Asia, Africa, and elsewhere. Yet almost no attention has been given to how contemporary adults employ it spiritually. A sample of 1087 participants (mean age = 38.9) completed an online survey assessing their use of cannabis and other substances, as well as spiritual and psychological characteristics. Spiritual benefit from cannabis was reported by 66.1% of the sample, and 5.5% reported it had sometimes been a spiritual hindrance. A MANOVA showed that those who reported spiritual benefit differed significantly from those who did not on several outcome variables, and a post hoc descriptive discriminant analysis revealed that expansiveness motivation, non-theistic daily spiritual experience, meditation frequency, and two mindfulness facets contributed most to differentiating the two groups. The majority of the sample (63%) was free of cannabis use disorder. Compared to disordered groups, the non-disordered group was significantly older and scored lower on experiential avoidance, psychological distress, and several motives for use. Results suggest that spiritual motives for cannabis use may be widespread. Implications for future research on spiritual use of cannabis are discussed.

Effects of a cannabis use disorder text message-delivered treatment on young adult alcohol misuse: Differential effects by gender.

Alcohol misuse is more prevalent, frequent, and severe among young adults who use cannabis. Treatment of dual alcohol and cannabis users may have mixed results, with some studies reporting that alcohol misuse increases when cannabis use decreases (substance substitution), while others report that alcohol misuse decreases along with decreasing cannabis use (treatment spillover), and others report no association. Additionally, little research tests whether gender differences are found in treatment of dual alcohol and cannabis users, which may be expected given previous alcohol-focused treatments showing larger effects for females. In the current study, we present a secondary analysis of a randomized clinical trial testing a text message-delivered cannabis use disorder (CUD) treatment (peer network counseling text or "PNC-txt"). The trial included 101 young adults ages 18-25 who met criteria for CUD. We tested whether alcohol use and binge drinking frequency (4+/5+ drinks for women/men) decreased in response to the PNC-txt treatment, which has previously shown effectiveness in reducing cannabis use days. Latent growth models tested PNC-txt effects on the monthly rate of change in alcohol use and binge drinking across three months. In the full sample, we found no evidence of significant treatment effects on alcohol use (d = -0.07) or binge drinking (d = -0.10). Moderation analyses, however, indicated the PNC-txt effect on both alcohol use and binge drinking differed significantly by gender. PNC-txt led to significantly larger decreases in alcohol use (d = -0.53) and binge drinking days (d = -0.43) across the three months for females, whereas the study saw opposite (but nonsignificant) effects for males (d = 0.30 and 0.16 for alcohol use and binge drinking, respectively). We found no evidence that reductions in alcohol use and binge drinking were associated with cannabis use decreases, arguing against direct substitution or spillover effects. These results provide evidence that treatments focused on cannabis use may have secondary beneficial effects for young-adult alcohol misuse, although such effects may be limited to women.

Cannabis use is associated with lower retention in methadone maintenance treatment, but not among schizophrenic- and other chronically psychotic patients.

The findings of studies on cannabis use and retention in methadone maintenance treatment (MMT) are inconsistent.To study cannabis use and its relationship to patients' outcomes in MMT with/without lifetime DSM-IV-TR schizophrenia/chronic-psychosis diagnosis.Since June 1993, 877 patients with available lifetime DSM-IV-TR psychiatric diagnosis were followed-up until December 2017. Urine drug screens on admission and after one year were analyzed.Lifetime schizophrenia/psychosis was diagnosed in 50 (5.7%) patients. They did not differ from the other 827 by admission cannabis use (18.0% vs. 12.3%) and had similar 1-year retention rates (76.0% vs.77.0%, respectively). Cumulative retention of the cohort excluding schizophrenia/chronic-psychosis was longer for the 667 patients who did not use cannabis after 1-year (9.1 years, 95%CI 8.4-9.9) compared with the 118 cannabis-users after 1-year (6.0 years, 95% CI 4.8-7.2, p<.001). Among the schizophrenia/chronic-psychosis group, cannabis was not related to retention (38 non-users, 7.9 years 95%CI 5.2-10.5 vs. 9 cannabis-users, 9.9 years, 95% CI 3.8-16.0, p=.5). Survival was shorter for the 41 schizophrenia/chronic-psychosis non-users (15.2 years, 95% CI 12.8-17.7) than for the 719 non-schizophrenia/chronic-psychosis non-users (18.5, 95%CI 17.9-19.2, p = 0.009). However, survival was comparable among the 9 cannabis-users with schizophrenia/chronic-psychosis (20.1, 95% CI 16.2-24.1) and 101 other cohort users (18.6, 95% CI 16.9-20.4).Cannabis use is associated with decreased retention among MMT patients, however the effects of cannabis on schizophrenia/psychosis patients on retention and survival cannot be verified due to the small sample size and the limited data regarding chronicity of cannabis use. Future larger, prospective studies are needed.

Comparing Cannabis Use Disorder in the General Population with Cannabis Treatment Seekers Using Multi-Source National Datasets: Who Receives Treatment?

INTRODUCTION: Given the increased prevalence of cannabis use in Ireland and increase in cannabis potency, this study aimed to estimate the size of the potential population in Ireland that may be in need of cannabis treatment and the percentage of people with cannabis use disorder (CUD) who actually access treatment. We also compared the profile of those with CUD in the general population to those who receive treatment for their cannabis use to explore whether certain subgroups are more or less likely to enter treatment. METHOD: This was a retrospective, multi-source database study. Data were obtained from (1) Ireland's 2014/2015 national general population survey (GPS) on drug use and (2) treatment data from the Irish National Drug Treatment Reporting System (NDTRS) for 2015. The profiles of GPS cases with CUD and NDTRS cases were compared using 2-sided t tests designed for independent samples. RESULTS: The prevalence of last year cannabis use among adults aged 15 and older was 6.5% and the prevalence of CUD was 2.6%, representing 94,515 of the Irish population. A total of 4,761 cases entered treatment for problem cannabis use. NDTRS treatment cases were significantly more likely than GPS cases to be unemployed (63.7% vs. 26.6%) and have no or primary level only educational attainment (56.3% vs. 21.2%). Over half (53.3%) of NDTRS cases first used cannabis before the age of 15 years, compared to 14.7% of CUD cases in the population. DISCUSSION/CONCLUSION: Our findings suggest that earlier users and those with more complex or disadvantaged lives are more likely to seek treatment. A broad population health approach that engages multiple sectors such as health, social welfare, and education is recommended to ensure that there is increased opportunity for people with CUD to be identified and signposted towards treatment.