Density of cannabis outlets vs. cannabis use behaviors and prevalent cannabis use disorder: findings from a nationally-representative survey.

Background: Thailand recently decriminalized (de facto legalized) cannabis use and sales. However, nationally representative data are scarce with regard to cannabis use behaviors and its association with cannabis outlet density. The objectives of this study are: (1) to describe the prevalence of cannabis use behaviors and cannabis use disorder among the general adult population of Thailand; (2) to describe the extent that the density of cannabis outlets is associated with cannabis use behaviors, cannabis use disorder, and the amount of cannabis smoked per day. Methods: We conducted a community-based cross-sectional study in 11 provinces and the Bangkok Metropolitan Area. Participants were residents of sampled communities aged 20 years or older. We requested literate participants to self-administer the questionnaire and interviewed participants who could not read. We analyzed data using descriptive statistics with sampling weight adjustments and multivariate logistic regression analyses. Results: The prevalence of current cannabis use was 15 percent. At a 400-m radius, participants who reported three cannabis outlets had 4.2 times higher odds of being current users than participants who reported no outlet (Adjusted OR = 4.82; 95% CI [3.04-7.63]). We found no association between outlet density and hazardous cannabis use or cannabis use disorder, nor association with the amount of cannabis use among cannabis smokers. Discussion and Conclusion: The patterns of association between outlet density and cannabis use behaviors were inconsistent. Furthermore, limitations regarding outlet density measurement and lack of temporality should be considered as caveats in the interpretation of the study findings.

Cannabis use and dependence among festival attendees: results from the French OCTOPUS survey.

BACKGROUND: Chronic use of cannabis is associated with an increased risk of psychosocial, mental and physical health impairments. Sociohealth institutions reach a very limited proportion of cannabis users in need of treatment. Using data collected from festival attendees, this study aimed to estimate the prevalence of dependent cannabis users and to characterize cannabis dependence. METHODS: We used data from the cross-sectional OCTOPUS survey carried out at 13 music events in the French department of Loire-Atlantique between July 2017 and July 2018. 383 participants aged 18 or older underwent a face-to-face interview about their basic sociodemographics, tobacco use, alcohol use and past-year substance use. Using the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) criteria, we estimated the prevalence of dependent cannabis users and characterized their dependence. RESULTS: More than two-thirds of participants reported that they had used cannabis in the past 12 months. Among 194 regular cannabis users (at least monthly), 63.4% were dependent. At least 40% of regular users reported health and/or social consequences of cannabis use. Compared to nondependent cannabis users, dependent cannabis users were more likely to be stimulant users and hallucinogen users. CONCLUSIONS: Dependent cannabis use is common among festival attendees, especially among stimulant or hallucinogen users. Festival settings may be important arenas for i) implementing efficient harm reduction measures to prevent dependence and ii) providing information on care structures and promoting the use of care to dependent users. In addition, healthcare professionals should be aware of trends in polysubstance use among dependent cannabis users.

Prenatal cannabis use disorder and gastroschisis in California, 2007-19.

BACKGROUND: Gastroschisis is a congenital anomaly of the abdominal wall with an unknown aetiology. Recent trends in the prevalence of gastroschisis suggest that changing environmental or behavioural factors may contribute. We examined whether prenatal cannabis use disorder was associated with gastroschisis. METHODS: The Study of Outcomes of Mothers and Infants is a population-based cohort compiled of California birth records that have been linked to Department of Health Care Access and Information hospitalization, emergency department and ambulatory surgery records. We included 2007-19 singleton live births (n = 5 774 656). Cannabis use disorder was measured by diagnosis codes at any visit during pregnancy or at birth. Gastroschisis was measured by diagnosis or surgical repair procedure codes at birth or during the first year of life. RESULTS: The prevalence of cannabis use disorder was about 1%. The prevalence of gastroschisis was 0.14% and 0.06% among those with and without cannabis use disorder, respectively. There were positive associations between cannabis use disorder and gastroschisis when using a multivariable model [adjusted risk ratio (aRR) = 1.3, 95% confidence interval (CI) 1.0, 1.7) and a matched sample approach (aRR = 1.5, 95% CI 1.1, 2.1). The association varied by maternal age and was largest among people aged >34 years (aRR = 2.5, 95% CI 1.0, 5.8). CONCLUSIONS: We confirm findings of a positive association between cannabis exposure and gastroschisis and add that it is strongest when maternal age is greater than 34 years. More investigation into whether the association is causal, and why the association varies by maternal age, is encouraged.

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.

Prevalence of cannabis use disorder and perioperative outcomes in adult colectomy patients: A propensity score-matched analysis.

BACKGROUND: The decriminalization of cannabis across the United States has led to an increased number of patients reporting cannabis use prior to surgery. However, it is unknown whether preoperative cannabis use disorder (CUD) increases the risk of postoperative complications among adult colectomy patients. METHODS: Adult patients undergoing an elective colectomy were retrospectively analyzed from the National Inpatient Sample database (2004-2018). To control for potential confounders, patients with CUD, defined using ICD-9/10 codes, were propensity score matched to patients without CUD in a 1:1 ratio. The association between preoperative CUD and composite morbidity, the primary outcome of interest, was assessed. Subgroup analyses were performed after stratification by age (≥50 years). RESULTS: Among 432,018 adult colectomy patients, 816 (0.19%) reported preoperative CUD. The prevalence of CUD increased nearly three-fold during the study period from 0.8/1000 patients in 2004 to 2.0/1000 patients in 2018 (P-trend<0.001). After propensity score matching, patients with CUD exhibited similar rates of composite morbidity (140 of 816; 17.2%) as those without CUD (151 of 816; 18.5%) (p = 0.477). Patients with CUD also had similar anastomotic leak rates (CUD: 5.64% vs. No CUD: 6.25%; p = 0.601), hospital lengths of stay (CUD: 5 days, IQR 4-7 vs. No CUD: 5 days, IQR 4-7) (p = 0.415), and hospital charges as those without CUD. Similar findings were seen among patients aged ≥50 years in the subgroup analysis. CONCLUSIONS: Though the prevalence of CUD has increased drastically over the past 15 years, preoperative CUD was not associated with an increased risk of composite morbidity among adult patients undergoing an elective colectomy.

Association of Cannabis Use Disorder with Major Adverse Cardiac and Cerebrovascular Events in Older Non-Tobacco Users: A Population-Based Analysis.

BACKGROUND: Tobacco use disorder (TUD) adversely impacts older patients with established cardiovascular disease (CVD) risk. However, CVD risk in chronic habitual cannabis users without the confounding impact of TUD hasn't been explored. We aimed to determine the risk of major adverse cardiac and cerebrovascular events (MACCE) in older non-tobacco smokers with established CVD risk with vs. without cannabis use disorder (CUD). METHODS: We queried the 2019 National Inpatient Sample for hospitalized non-tobacco smokers with established traditional CVD risk factors aged ≥65 years. Relevant ICD-10 codes were used to identify patients with vs. without CUD. Using multivariable logistic regression, we evaluated the odds of MACCE in CUD cohorts compared to non-CUD cohorts. RESULTS: Prevalence of CUD in the sample was 0.3% (28,535/10,708,815, median age 69), predominantly male, black, and non-electively admitted from urban teaching hospitals. Of the older patients with CVD risk with CUD, 13.9% reported MACCE. The CUD cohort reported higher odds of MACCE (OR 1.20, 95% CI 1.11-1.29, p < 0.001) compared to the non-CUD cohort. Comorbidities such as hypertension (OR 1.9) and hyperlipidemia (OR 1.3) predicted a higher risk of MACCE in the CUD cohort. The CUD cohort also had higher unadjusted rates of acute myocardial infarction (7.6% vs. 6%) and stroke (5.2% vs. 4.8%). CONCLUSIONS: Among older non tobacco smokers with known CVD risk, chronic cannabis use had a 20% higher likelihood of MACCE compared to those who did not use cannabis.

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.

Effects of cannabis legalisation on patterns of cannabis consumption among adolescents in Ontario, Canada (2001-2019).

INTRODUCTION: Cannabis legalisation was enacted on 17 October 2018 in Canada. Accordingly, the effects of cannabis legalisation on patterns of cannabis consumption were examined among adolescents, including on cannabis initiation, any cannabis use, daily cannabis use and cannabis dependence. METHODS: Data from a biennial population-based, cross-sectional survey of students in Ontario were pooled in a pre-post design (2001-2019; N = 89,238). Participants provided self-reports of cannabis initiation, any cannabis use, daily cannabis use and cannabis dependence. Long-term trends in these patterns of cannabis consumption over two decades of observation were characterised to provide a broader context of usage. The effects of cannabis legalisation on patterns of cannabis consumption were quantified using logistic regression analyses. RESULTS: Long-term trends over the two decades of observation indicated that cannabis initiation decreased and then increased (p = 0.0220), any cannabis use decreased and daily cannabis use decreased (p < 0.0001 and p = 0.0001, respectively) and cannabis dependence remained unchanged (p = 0.1187). However, in comparisons between the pre-cannabis legalisation period (2001-2017) and the post-cannabis legalisation period (2019), cannabis legalisation was not associated with cannabis initiation (odds ratio; 95% confidence interval 1.00; 0.79-1.27), but it was associated with an increased likelihood of any cannabis use (1.31; 1.12-1.53), daily cannabis use (1.40; 1.09-1.80) and cannabis dependence (1.98; 1.29-3.04). DISCUSSION AND CONCLUSIONS: Cannabis legalisation was not associated with cannabis initiation, but it was associated with an increased likelihood of any cannabis use, daily cannabis use and cannabis dependence.

Prevalence and impact of cannabis use disorder on acute ischemic stroke and subsequent mortality in elderly peripheral vascular disease patients: A population-based analysis in the USA (2016 - 2019).

BACKGROUND: Given current evidence linking peripheral atherosclerotic disease, also known as cannabis arteritis, and acute ischemic stroke (AIS) in individuals with cannabis use disorder (CUD), we investigated the frequency and implications of CUD in relation to AIS risk and outcomes among elderly patients with peripheral vascular disease (PVD). METHODS: The National Inpatient Sample (2016-2019) was used to compare geriatric patients with PVD and cannabis use disorder CUD. CUD was correlated with AIS admissions. Adjusted multivariable regression models assessed in-hospital mortality rates. RESULTS: Of 5,115,824 geriatric admissions with PVD, 50.6 % were male and 77.5 % were white. 21,405 admissions had cardiovascular and CUD co-occurrence. 19.7 % of CUD patients had diabetes mellitus (DM), compared to 33.7 % of non-CUD patients. Smoking and HTN rates were comparable between groups. Patients with CUD used more recreational drugs concurrently than those without CUD. AIS prevalence was 5.2 % in CUD patients and 4.0 % in controls (p < 0.001). In the geriatric population with PVD, the presence of CUD was found to be associated with increased odds of hospitalizations due to AIS, with an adjusted odds ratio (aOR) of 1.34 (95 % confidence interval [CI] 1.18-1.52, p < 0.001). All-cause in-hospital mortality was not statistically significant, with an aOR of 0.71 (95 %CI 0.36-1.37, p = 0.302). In our study, older patients with PVD and hypertension (aOR 1.73) had a greater risk of AIS. Intriguingly, when we analyzed AIS predictors in elderly PVD patients with concurrent tobacco use disorder, we identified a counterintuitive protective effect (aOR 0.58, 95 % CI 0.42-0.79, p < 0.001). CONCLUSIONS: Our findings indicate that among geriatric patients with PVD and concurrent CUD, there is a notable 34 % risk of AIS. Importantly, this risk persists despite controlling for other CVD risk factors and substance use. Further investigations are warranted to elucidate and validate the intriguing phenomenon known as the smoker's paradox.

Predictors of morning cannabis use among young adults: Between- and within-person associations from 24 consecutive months of data.

Morning cannabis use is associated with heavier, frequent cannabis use and more cannabis-related negative consequences, yet little empirical research has examined its predictors. Using 24 months of longitudinal data, the present study tested demographic, psychosocial, and behavioral predictors of morning cannabis use among young adults at the monthly- and person-levels. Young adults (N = 778) were part of a larger study on substance use and social role transitions; participants completed a baseline survey and up to 24 consecutive monthly surveys. Hypotheses were tested using logistic multilevel models to estimate odds ratios for any vs. no morning use in a given month. At the monthly level, social anxiety motives and cannabis use frequency on a given month were positively associated with morning cannabis use. At the person level, typical coping motives, average cannabis use frequency, and male sex were positively associated with morning cannabis use. Findings advance our understanding of individual and psychosocial predictors of morning cannabis use among young adults. Notably, social anxiety motives may represent a malleable target for intervention efforts that could reduce risky use patterns associated with morning use. Such efforts may be especially prudent for young men, as our findings indicated morning cannabis use probabilities were much higher for men than women.

Limited psychological and social effects of lifetime cannabis use frequency: Evidence from a 30-year community study of 4,078 twins.

BACKGROUND: Cannabis use is associated with outcomes like income, legal problems, and psychopathology. This finding rests largely on correlational research designs, which rely at best on statistical controls for confounding. Here, we control for unmeasured confounders using a longitudinal study of twins. METHOD: In a sample of 4,078 American adult twins first assessed decades ago, we used cotwin control mixed effects models to evaluate the effect of lifetime average frequency of cannabis consumption measured on substance use, psychiatric, and psychosocial outcomes. RESULTS: On average, participants had a lifetime cannabis frequency of about one to two times per month, across adolescence and adulthood. As expected, in individual-level analyses, cannabis use was significantly associated with almost all outcomes in the expected directions. However, when comparing each twin to their cotwin, which inherently controls for shared genes and environments, we observed within-pair differences consistent with possible causality in three of the 22 assessed outcomes: cannabis use disorder symptoms (ßW-Pooled = .15, SE = .02, p = 1.7 × 10-22), frequency of tobacco use (ßW-Pooled = .06, SE = .01, p = 1.2 × 10-5), and illicit drug involvement (ßW-Pooled = .06, SE = .02, p = 1.2 × 10-4). Covariate specification curve analyses indicated that within-pair effects on tobacco and illicit drug use, but not cannabis use disorder, attenuated substantially when covarying for lifetime alcohol and tobacco use. CONCLUSIONS: The cotwin control results suggest that more frequent cannabis use causes small increases in cannabis use disorder symptoms, approximately 1.3 symptoms when going from a once-a-year use to daily use. For other outcomes, our results are more consistent with familial confounding, at least in this community population of twins. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Trends in past-month cannabis use among US adults across a range of disabilities and health conditions, 2015-2019.

INTRODUCTION: While there is increasing interest in the use of cannabis to manage a range of health-related symptoms, little is known about trends in recent cannabis use with respect to various health conditions. METHODS: We examined data from a US representative sample of noninstitutionalized adults age ≥ 18 from the 2015-2019 National Survey on Drug Use and Health (N = 214,505). We estimated the pooled prevalences followed by linear time trends, overall, and by disability (i.e., difficulty hearing, seeing, thinking, walking, dressing, doing errands) and lifetime (i.e., bronchitis, cancer, diabetes, hepatitis, kidney disease) and current (i.e., asthma, depression, heart disease, hypertension) health condition status using logistic regression. Models with year-by-condition status interaction terms were used to assess differential time trends, adjusting for demographic characteristics. RESULTS: From 2015 to 2019, cannabis use increased significantly among adults with and without each disability and health condition examined. However, the increase was more rapid among those with (versus without) difficulty hearing (89.8% increase [4.9% to 9.3%] vs. 37.9% increase [8.7% to 12.0%], p = 0.015), difficulty walking (84.1% increase [6.3% to 11.6%] vs. 36.8% increase [8.7% to 11.9%], p < 0.001), 2-3 impairments (75.3% increase [9.3% to 16.3%] vs. 36.6% increase [8.2% to 11.2%], p = 0.041), and kidney disease (135.3% increase [3.4% to 8.0%] vs. 38.4% increase [8.6% to 11.9%], p = 0.045). CONCLUSION: Given the potential adverse effects of cannabis, prevention and harm reduction efforts should focus on groups at increasingly higher risk for use, including those with disabilities and kidney disease.

Gone with the weed: incidents of adolescent marijuana use in the United States, 1976-2021.

PURPOSE: This study sought to examine grouped and right-censored (GRC) counts of adolescent marijuana use and estimate its temporal trajectories and sociodemographic disparities over almost half a century. METHODS: After compiling 46 waves of nationally representative data from the Monitoring the Future (MTF) study from 1976 to 2021 (sample size = 491,348), we utilized an innovative modified Poisson (mixture) approach to analyze past-year marijuana use quantified by GRC counts. RESULTS: The overall reduction in incidence rates of marijuana use was attributable to an almost 40% reduction in the risk of marijuana use (with the proportion of at-risk adolescents at 51.36% in 1979 and 31.53% in 2021). Despite substantial changes over the study period, the recent incidence rates for at-risk individuals were similar to those in the early 1980s. Living in an intact family was a protective factor against adolescent marijuana use over time. CONCLUSIONS: The incidence rates of marijuana use among at-risk students, especially those from disadvantaged families, remained high over the study period. The modified Poisson (mixture) approach serves as the preferred tool for modeling GRC responses. It is essential to distinguish among risk, at-risk incidence, and overall incidence when assessing substance use and other risky behaviors.

[Epidemiological and clinical profile of cannabis users at the Addiction Care and Prevention Centre of the Laquintinie Hospital in Douala, Cameroon]. / Profil épidémiologique et clinique des consommateurs de cannabis au centre de soins d'accompagnement et de prévention en addictologie de l'Hôpital Laquintinie de Douala, Cameroun.

Cannabis is the most widely used illicit drug in the world. It is consumed by age groups, the main ones being adolescents and young adults. Its consumption leads to somatic, psychiatric and social complications. Data in our context are scarce. The purpose of our work was to describe the epidemiological and clinical profile of patients with cannabis addiction at the Centre for Care, Support and Prevention of the Laquintinie Hospital in Douala. We conducted a retrospective cross-sectional study of patients followed from March 2021 to July 2022 for cannabis addiction at the Addiction Care, Support and Prevention Center of the Laquintinie Hospital in Douala. The diagnosis of use disorder was based on a dependency syndrome related to cannabis use (single event usage). Data entry and analysis were performed using SPSS version 7.1 software. Of the 45 cases of cannabis addiction, 44 (98%) were male patients with an average age of 21,97 years. The most affected age group was between 20 and 24 years (28/44 or 63%); 49% of consumers were students, 62% of mothers accompanying patient to the consultation. The age of cannabis use initiation was 16 years (31%), the most commonly used form of cannabis was herbal (100%) and 100% of patients used inhalation (smoking). The most common complication was amotivational syndrome (31%). Cannabis use initiation occurs at an early age. The most commonly used form of cannabis is herbal administered through inhalation (smoking). The most common complications are amotivational syndrome, cognitive disorders, sleep disorders and withdrawal syndrome.

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 Disorder and Perioperative Complications.

Importance: Cannabis use is growing in the US and is increasingly perceived as harmless. However, the perioperative impact of cannabis use remains uncertain. Objective: To assess whether cannabis use disorder is associated with increased morbidity and mortality after major elective, inpatient, noncardiac surgery. Design, Setting, and Participants: This retrospective, population-based, matched cohort study used data from the National Inpatient Sample for adult patients aged 18 to 65 years who underwent major elective inpatient surgery (including cholecystectomy, colectomy, inguinal hernia repair, femoral hernia repair, mastectomy, lumpectomy, hip arthroplasty, knee arthroplasty, hysterectomy, spinal fusion, and vertebral discectomy) from January 2016 to December 2019. Data were analyzed from February to August 2022. Exposure: Cannabis use disorder, as defined by the presence of specific International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) diagnostic codes. Main Outcome and Measures: The primary composite outcome was in-hospital mortality and 7 major perioperative complications (myocardial ischemia, acute kidney injury, stroke, respiratory failure, venous thromboembolism, hospital-acquired infection, and surgical procedure-related complications) based on ICD-10 discharge diagnosis codes. Propensity score matching was performed to create a 1:1 matched cohort that was well balanced with respect to covariates, which included patient comorbidities, sociodemographic factors, and procedure type. Results: Among 12 422 hospitalizations, a cohort of 6211 patients with cannabis use disorder (median age, 53 years [IQR, 44-59 years]; 3498 [56.32%] male) were matched with 6211 patients without cannabis use disorder for analysis. Cannabis use disorder was associated with an increased risk of perioperative morbidity and mortality compared with hospitalizations without cannabis use disorder in adjusted analysis (adjusted odds ratio, 1.19; 95% CI, 1.04-1.37; P = .01). The outcome occurred more frequently in the group with cannabis use disorder (480 [7.73%]) compared with the unexposed group (408 [6.57%]). Conclusions and Relevance: In this cohort study, cannabis use disorder was associated with a modest increased risk of perioperative morbidity and mortality after major elective, inpatient, noncardiac surgery. In the context of increasing cannabis use rates, our findings support preoperative screening for cannabis use disorder as a component of perioperative risk stratification. However, further research is needed to quantify the perioperative impact of cannabis use by route and dosage and to inform recommendations for preoperative cannabis cessation.

Associations of alcohol use disorder, cannabis use disorder, and nicotine dependence with concurrent opioid use disorder in U.S. adults.

Polysubstance use of alcohol, cannabis, and nicotine has been shown to be correlated with opioid use disorder (OUD). The goal of this study was to determine whether alcohol use disorder (AUD), cannabis use disorder (CUD), and/or nicotine dependence were associated with concurrent OUD. Data came from the 2015-2019 National Survey on Drug Use and Health (n = 282,768, 48.5% male). Weighted logistic regression was performed for experiencing OUD in the past year concurrent with AUD, CUD, nicotine dependence, all pairwise interactions, the three-way interaction, and demographic covariates. Compared to individuals with no substance use disorder (SUD), individuals with AUD had 5.24 times the odds (95% CI [4.25, 6.46]), individuals with CUD had 6.69 times the odds (95% CI [5.13, 8.72]), and individuals with nicotine dependence had 7.12 times the odds of experiencing OUD (95% CI [6.10, 8.32]). Individuals with either AUD and CUD or AUD and nicotine dependence had approximately 15 times the odds of having OUD than those with no SUD (95% CI [12.58, 19.53] and 95% CI [11.63, 18.19], respectively). Individuals with CUD and nicotine dependence had 27.35 times the odds of having OUD than those with no SUD (95% CI [21.88, 34.19]). Individuals with AUD, CUD, and nicotine dependence had 47.31 times the odds of having OUD compared to individuals with no SUD (95% CI [36.79, 60.83]). A multiplicative effect was present when two or more SUD occurred simultaneously and was greatest when all three occurred at once, which suggests that prevention programs or interventions aimed at OUD should focus on persons with multiple SUDs. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Trends of cannabis use and related harms before and after legalization for recreational purpose in a developing country in Asia.

BACKGROUND: Thailand was the first country in Asia to legalize the use and purchase of cannabis leaves in February 2021 and the whole plant in June 2022 after the 2019 allowance for medical purposes. The study explored trends in cannabis use in Thailand before and after the recreational cannabis allowance was imposed. METHODS: Cannabis and other variables of substance use, cannabis use disorder, and attitude towards cannabis of the Thai population aged 18 to 65 years in 2019 (n = 5,002), 2020 (n = 5,389) and 2021 (n = 5,669) were obtained from annual surveys conducted in the last two months of each year by the Centre for Addiction Studies. The surveys were repeat cross-sectional surveys of the general population of Thailand. Repeated variables from at least two annual surveys were included for analysis using the Chi-square test and the t-test. RESULTS: The prevalence of cannabis use in the past year had increased from 2.2% in 2019 to 2.5% and 4.2% in 2020 and 2021 respectively, while those of methamphetamine, alcohol, and tobacco use had decreased. Trends in past-year drinking/eating cannabis products had increased, especially among the middle age group (40-49 years) from 2.1% (95% confidence interval (CI): 1.3, 3.1) in 2019 and 1.1% (95% CI: 0.6, 1.9) in 2020 to 3.8% (95% CI: 2.8, 5.0) in 2021. The younger population aged 18-19 had an increase in cannabis smoking from 0.9% (95% CI: 0.1, 3.3) in 2019 to 2.0% (95% CI: 0.5, 5.1) and 2.2% (95% CI: 0.7, 5.1) in 2020 and 2021 respectively. Symptoms of cannabis use disorder among cannabis users increased from 2019 to 2020 and then reversed afterwards in 2021. Thais had greater health knowledge about the benefits and harms of cannabis and had attitudes toward more harm of cannabis in 2021; however, 35.6% or a third of the sample in 2021 truly believed that cannabis was a cure for cancer, and 23.2% or one-fourth were uncertain or did not believe that cannabis was addictive. CONCLUSIONS: Although most of the substances had a lower prevalence of use during the COVID-19 pandemic in Thailand, cannabis had a higher use after legalization. Thai youth had a growing trend to smoke cannabis.

Severe Cannabis use is Associated with Complications and Prolonged Length of Stay in Bariatric Surgery.

PURPOSE: In the United States, recreational and medicinal cannabis use has continually increased in recent years, including in patients undergoing bariatric surgery. However, the effects of cannabis use on morbidity and mortality after bariatric surgery are uncertain, and the literature is limited by a paucity of studies. This study intends to evaluate the effects of cannabis use disorder on outcomes in patients undergoing bariatric surgery. MATERIALS AND METHODS: The National Inpatient Sample 2016-2019 was queried for patients ≥ 18 years who underwent roux-en-y gastric bypass (RYGB), vertical sleeve gastrectomy (VSG), or adjustable gastric band (AGB) surgery. Cannabis use disorder was identified using ICD-10 coding. Three outcomes were evaluated: medical complications, in-hospital mortality, and length of stay. Logistic regression was used to evaluate effects of cannabis use disorder on medical complications and in-hospital mortality, and linear regression for length of stay. All models controlled for race, age, sex, income, procedure type, and various medical comorbidities. RESULTS: A total of 713,290 patients were included in this study, with 1,870 (0.26%) having cannabis use disorder. Cannabis use disorder was associated with medical complications (OR: 2.24; 95% CI: 1.31-3.82; P = 0.003) and longer lengths of stay (ß: 1.3; SE: 0.297; P < 0.001), but not in-hospital mortality (OR: 3.29; CI: 0.94-11.5); P = 0.062). CONCLUSIONS: Severe cannabis use was associated with higher risk for complications and extended length of stay. Future investigations are needed to better elucidate the relationship between cannabis use and bariatric surgery, including effects of dosage, chronicity, and method of ingestion.

Cannabis use and psychotic disorders in diverse settings in the Global South: findings from INTREPID II.

BACKGROUND: Cannabis use has been linked to psychotic disorders but this association has been primarily observed in the Global North. This study investigates patterns of cannabis use and associations with psychoses in three Global South (regions within Latin America, Asia, Africa and Oceania) settings. METHODS: Case-control study within the International Programme of Research on Psychotic Disorders (INTREPID) II conducted between May 2018 and September 2020. In each setting, we recruited over 200 individuals with an untreated psychosis and individually-matched controls (Kancheepuram India; Ibadan, Nigeria; northern Trinidad). Controls, with no past or current psychotic disorder, were individually-matched to cases by 5-year age group, sex and neighbourhood. Presence of psychotic disorder assessed using the Schedules for Clinical Assessment in Neuropsychiatry and cannabis exposure measured by the World Health Organisation Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). RESULTS: Cases reported higher lifetime and frequent cannabis use than controls in each setting. In Trinidad, cannabis use was associated with increased odds of psychotic disorder: lifetime cannabis use (adj. OR 1.58, 95% CI 0.99-2.53); frequent cannabis use (adj. OR 1.99, 95% CI 1.10-3.60); cannabis dependency (as measured by high ASSIST score) (adj. OR 4.70, 95% CI 1.77-12.47), early age of first use (adj. OR 1.83, 95% CI 1.03-3.27). Cannabis use in the other two settings was too rare to examine associations. CONCLUSIONS: In line with previous studies, we found associations between cannabis use and the occurrence and age of onset of psychoses in Trinidad. These findings have implications for strategies for prevention of psychosis.