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INTRODUCTION: Cannabis use is highly prevalent in Australia, yet current survey metrics measure tetrahydrocannabinol (THC) exposure with limited accuracy. Often survey items measure cannabis quantity by assuming specific modes of use (i.e., 'how many joints do you use?'), which fail to capture variations in cannabis use and the diverse modes of use (e.g., joints, cones, spliffs). This study investigated how much cannabis is used in these modes of administration in an Australian sample. METHODS: Participants (N = 31, Mage = 25.77; 51% university students) completed the Roll a Joint Paradigm in which they rolled joints, spliffs and packed cones as they would typically, using oregano as 'cannabis.' Participants then prepared each again but with cannabis of higher or lower potency. RESULTS: The amount of cannabis used across different modes of administration was variable: joints (range 0.10-1.25 g), spliffs (range 0.12-1.21 g) and cones (range 0.03-0.41 g). Participants who used cannabis daily rolled three times the amount of cannabis into a joint. DISCUSSION AND CONCLUSIONS: The amount of cannabis used in common modes of administration may be highly variable. Daily use may be associated using larger quantities of cannabis. Titration attempts based on potency were not proportional or consistent across modes of administration. The results indicate people may adjust the quantity of cannabis based on perceived potency, however, not proportional to THC concentration. Inconsistency in the amount of cannabis used based on potency and within different modes of administration may represent a problem for self-report metrics which ask participants to report cannabis use in joints.

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A knowledge gap exists in infant tetrahydrocannabinol (THC) data to guide breastfeeding recommendations for mothers who use cannabis. In the present study, a paired lactation and infant physiologically based pharmacokinetic (PBPK) model was developed and verified. The verified model was used to simulate one hundred virtual lactating mothers (mean age: 28 years, body weight: 78 kg) who smoked 0.32 g of cannabis containing 14.14% THC, either once or multiple times. The simulated breastfeeding conditions included one-hour post smoking and subsequently every three hours. The mean peak concentration (Cmax) and area under the concentration-time curve (AUC(0-24 h)) for breastmilk were higher than in plasma (Cmax: 155 vs. 69.9 ng/mL; AUC(0-24 h): 924.9 vs. 273.4 ng·hr/mL) with a milk-to-plasma AUC ratio of 3.3. The predicted relative infant dose ranged from 0.34% to 0.88% for infants consuming THC-containing breastmilk between birth and 12 months. However, the mother-to-infant plasma AUC(0-24 h) ratio increased up to three-fold (3.4-3.6) with increased maternal cannabis smoking up to six times. Our study demonstrated the successful development and application of a lactation and infant PBPK model for exploring THC exposure in infants, and the results can potentially inform breastfeeding recommendations.

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Cannabis can be related to respiratory diseases, but the relationship between smoking marijuana and the development of a pneumothorax has scarcely been investigated. We aimed to analyze, in patients with a history of cannabis smoking abuse submitted to lung apicectomy for a primary spontaneous pneumothorax (PSP), the correlation between the presence of cannabinoids in the resected lung and the detection of bullous emphysema within the same tissue. Patients undergoing lung apicectomy for a PSP were prospectively enrolled, and the correlation between the presence of cannabinoids in the resected lung tissue and histological finding of bullous emphysema was investigated with Fisher's exact test. There were 21 male patients, with a median age of 27 years. The cannabinoids found by the toxicological examination in surgical specimens were mainly delta-9-tetrahydrocannabinol (THC), cannabinol (CBN), and cannabidiol (CBD). In 14/21 patients, cannabinoids were detected in the resected lung tissue, and bullous emphysema was present in 13/14 of these (93%), while bullous emphysema was found in only 1/7 (14%) of the remaining patients who were negative for cannabinoids in the lung tissue, and the difference was found to be statistically significant (p < 0.0009). Our study demonstrated the presence of bullous emphysema in most cannabinoid-positive patients and its absence in most of those who were cannabinoid-negative, supporting the correlation between cannabinoids in the lung tissue and bullous emphysema with the development of a "secondary" spontaneous pneumothorax.

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Cannabis self-administration studies may be helpful for identifying factors that influence cannabis consumption and subjective response to cannabis. Additionally, these paradigms could be useful for testing novel pharmacotherapies for cannabis use disorder. This scoping review aims to summarize the findings from existing ad libitum cannabis self-administration studies to determine what has been learned from these studies as well as their limitations. We examined studies that specifically examined cannabis smoking, focusing on subjective response and self-administration behavior (e.g., smoking topography). A systematic search was conducted using PubMed and Embase from inception to October 22, 2022. Our search strategy identified 26 studies (total N = 662, 79% male) that met our eligibility criteria. We found that tetrahydrocannabinol (THC) concentration significantly affected subjective response to cannabis in some but not all studies. In general, cannabis self-administration tended to be most intense at the beginning of the laboratory session and decreased in later parts of the session. There was limited data on cannabis self-administration in adults older than 55. Data on external validity and test-retest reliability were also limited. Addressing these limitations in future ad libitum cannabis self-administration studies could lead to more valid and generalizable paradigms, which in turn could be used to improve our understanding of cannabis use patterns and to help guide medication development for cannabis use disorder.

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Introduction: Cannabis remains the most widely used illicit drug among Nigerians, often associated with psychiatric disorders. Since genetic predisposition has been implicated in substance use disorders, we, therefore, aimed at finding out the relationship between dopamine transporter gene (DAT1) polymorphism and cannabis use disorder. Methods: We recruited 104 patients from a tertiary psychiatric facility in Lagos, Nigeria, who were diagnosed with cannabis use disorder according to ICD-10 and 96 non-smokers as a comparative group. The smokers were screened with Cannabis Use Disorder Identification Test (CUDIT), and cannabis dependence was assessed with the Severity of Dependence Scale (SDS). Genotyping was carried out for the 40 bp 3' UTR VNTR of the DAT1 (rs28363170). Results: The frequencies of 9R/9R, 9R/10R, 10R/10R among non-smokers and smokers were 14 (14.3%), 25 (26.2%), 57 (59.5%) and 17 (16.3%), 54 (51.9%), 33 (31.7%) respectively. The genotype distribution was in Hardy Weinberg equilibrium (HWE) only in the smokers' population (χ² = 1.896, P = .166). Individuals with the 10R allele were almost twice as likely as the 9R carriers to smoke cannabis (OR = 1.915, 95% CI: 1.225-2.995). However, this polymorphism was not associated with the quantity of cannabis smoked, age at onset of smoking, CUDIT, and SDS scores. Conclusion: The DAT VNTR polymorphism was associated with cannabis smoking but not cannabis use disorder.

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Human beings have used marijuana products for centuries. Relatively recent data showing extensive cannabinoid receptors, particularly in the brain, help to explain the impacts of cannabinoids on symptoms/diseases, such as pain and seizures, with major nervous system components. Marijuana can cause bronchitis, but a moderate body of literature suggests that distal airway/parenchymal lung disease does not occur; marijuana does not cause chronic obstructive pulmonary disease and probably does not cause lung cancer, distinctly different from tobacco. Potentials for cognitive impairment and for damage to the developing brain are contextually important as its beneficial uses are explored.

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Introduction: Recent research claimed that CBD in commercial electronic cigarette (e-cigarette) liquids can be converted into psychotropic amounts of Δ9-THC. This study aims to validate this claim using a realistic e-cigarette setup. In addition, this study also investigates if such a conversion may occur during smoking of CBD-rich cannabis joints. Materials and Methods: Two different CBD liquids were vaporized using two different e-cigarette models, one of which was operated at extreme energy settings (0.2 Ω and 200 W). The smoke of six CBD joints was collected using a rotary smoking machine according to ISO 4387:2019. Analyses were conducted using nuclear magnetic resonance spectrometry as well as liquid chromatography tandem mass spectrometry. Results: For the condensed e-cigarette liquids, no increase in THC concentration could be observed. For the CBD joints, no THC formation was provable. The recovered THC concentrations were ranging between 1% and 48% (0.034 and 0.73 mg) of the THC amount initially contained in the joints before smoking. Conclusions: Using realistic conditions of consumer exposure, relevant conversion of CBD to THC appears to not be occurring. The health risk of CBD liquids for e-cigarettes, as well as low-THC cannabis intended for smoking, can be assessed by concentrations in the source material without the need to consider significant changes in psychotropic compounds during use by consumers.

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We report a collection of lung findings in a patient with a remote history of cigarette smoking, but now engaged in heavy nicotine vaping with daily edible and combustible cannabis use. Computed tomography (CT) imaging demonstrated numerous, small, and bilateral nodules with ground-glass appearance. The largest nodule is demonstrated in the right upper lung lobe. Clinically the differential diagnosis at this time included hypersensitivity pneumonitis and sarcoidosis. Atypical infection, particularly of a fungal etiology, and metastatic malignancy were also considered. Initial pathology of the right lung needle biopsy revealed alveolar septal thickening with associated atypical pneumocyte proliferation, suggestive of atypical adenomatous hyperplasia (AAH). Subsequently the patient underwent wedge resection of the right upper, middle and lower lobes. Pathology examination revealed pulmonary Langerhans cell histiocytosis (PLCH) in the upper and lower lobes, with CD1a staining highlighting the aggregates of Langerhans cells. Vascular changes were also present including intimal thickening of muscular pulmonary arteries, consistent with pulmonary hypertensive changes. Background lung parenchyma demonstrated respiratory bronchiolitis, smoking-related interstitial fibrosis, an organizing thrombus in muscular artery and associated pneumocyte hyperplasia.

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Cannabis use is associated with various adverse physical and mental health outcomes as well as increased risk of motor vehicle collision. Many organizations and the "Lower-Risk Cannabis Use Guidelines" have recommended to use cannabis vaporizers instead of smoking to reduce the associated health risk. This commentary draws attention to the present evidence regarding harm reduction potential of cannabis vaping. Cannabis vaporizer use can reduce the emission of carbon monoxide, chronic respiratory symptoms, and exposure to several toxins while producing similar subjective effects and blood THC concentration compared with smoking cannabis, holding potential for harm reduction among habitual cannabis smokers. However, new cannabis users, regardless of method of administration of cannabis, may experience intense subjective effects and cognitive impairment with increased susceptibility to dependence. Hence, policy makers should consider limiting access to cannabis among young people and adopting strategies to reduce impaired driving under influence of cannabis. Future research should focus on impact of switching from cannabis smoking to dried herb vaping using cannabis vaporizers among chronic cannabis smokers, and long-term outcomes of medical cannabis vaping, and further explore association of vaping-associated lung injury with THC-containing e-liquids.

RéSUMé: L'usage du cannabis est associé à une panoplie de résultats de santé physique et mentale indésirables et à un risque accru de collision entre véhicules automobiles. De nombreux organismes, ainsi que les « Recommandations canadiennes pour l'usage du cannabis à moindre risque ¼, recommandent d'utiliser un vaporisateur au lieu de fumer le cannabis afin d'en réduire les risques pour la santé. Notre commentaire attire l'attention sur les preuves actuelles concernant le potentiel de réduction des méfaits du vapotage du cannabis. L'utilisation d'un vaporisateur de cannabis peut réduire l'émission de monoxyde de carbone, les symptômes respiratoires chroniques et l'exposition à plusieurs toxines tout en produisant des effets subjectifs et une concentration de THC dans le sang semblables à ceux du cannabis fumé, ce qui pourrait réduire les méfaits chez les fumeurs réguliers de cannabis. Par contre, les nouveaux consommateurs de cannabis, peu importe la méthode d'administration du cannabis choisie, peuvent éprouver des effets subjectifs intenses et une détérioration cognitive, ainsi qu'une susceptibilité accrue à la dépendance. Les responsables des politiques devraient donc songer à limiter l'accès des jeunes au cannabis et adopter des stratégies pour réduire la conduite avec facultés affaiblies par cette drogue. Des études futures devraient porter sur les conséquences, pour les fumeurs réguliers de cannabis, de vapoter l'herbe séchée à l'aide d'un vaporisateur au lieu de fumer le cannabis, et sur les effets à long terme du vapotage du cannabis médical, et explorer plus avant l'association entre les lésions pulmonaires associées au vapotage et les liquides à vapoter contenant du THC.

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With a growing number of states legalizing recreational use, cannabis consumption during pregnancy is increasing. Population-based data and rigorous studies examining the association of cannabis use in pregnancy with perinatal outcomes are limited, but trends include preterm prelabor rupture of membranes, placenta previa, and an increased length of hospital stay. Neonates of pregnant persons who used cannabis during their pregnancy can be at increased risk of low birth weight, preterm birth, neonatal intensive care unit admission, neurocognitive deficits, and infectious and neurologic morbidity and mortality. This state of the science review examines the prevalence of cannabis use in pregnancy, its pharmacodynamics and how that is influenced by pregnancy, and associated adverse perinatal and neonatal outcomes. Implications for health care providers caring for pregnant persons using cannabis, especially in legalized states, are discussed.

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BACKGROUND: School absenteeism has been studied in detail in relation to health risk behaviours using cross sectional studies. AIM: The aim of this longitudinal study was to examine the association amongst alcohol, drug use and high-school learners' absenteeism. SETTING: This study was set in the Western Cape. METHODS: Data were collected at three separate time points from 2950, 2675 and 2230 grade 8 learners aged 13-18 years old on school absenteeism, alcohol and drug use and sociodemographic characteristics. Associations between school absenteeism, alcohol and cannabis and sociodemographic factors use were examined using descriptive and chi-square analyses. Binary logistic regression was performed using generalised linear mixed model analyses. RESULTS: Results revealed that 9.3% of the learners were absent for 2 weeks in the 15 weeks of the school year. Alcohol consumption (X 2 = 34.1, p < 0.001; odds ratio [OR]: 1.64 (1.38-1.94), p < 0.001) and smoking cannabis (X 2 = 49.9, p < 0.001; OR: 2.01 (1.65-2.45), p < 0.001) were associated with school absenteeism at bivariate and multivariate analyses. Furthermore, alcohol (OR: 1.42 (1.06-1.89), p < 0.05) and cannabis (OR: 1.57 (1.11-2.22), p < 0.05) use remained robust in predicting learners school absenteeism after adjusting for age, sex and socioeconomic status. CONCLUSION: These findings suggest that alcohol consumption and smoking cannabis are contemporary factors associated with school absenteeism. Therefore, interventions to ensure learners' consistent attendance to school should integrate prevention of alcohol and cannabis use.

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BACKGROUND: Little is known about chronic cannabis smoking-associated oral microbiome and its effects on central nervous system (CNS) functions. METHODS: In the current study, we have analyzed the saliva microbiome in individuals who chronically smoked cannabis with cannabis use disorder (n = 16) and in non-smoking controls (n = 27). The saliva microbiome was analyzed using microbial 16S rRNA sequencing. To investigate the function of cannabis use-associated oral microbiome, mice were orally inoculated with live Actinomyces meyeri, Actinomyces odontolyticus, or Neisseria elongata twice per week for six months, which mimicked human conditions. FINDINGS: We found that cannabis smoking in humans was associated with oral microbial dysbiosis. The most increased oral bacteria were Streptococcus and Actinomyces genus and the most decreased bacteria were Neisseria genus in chronic cannabis smokers compared to those in non-smokers. Among the distinct species bacteria in cannabis smokers, the enrichment of Actinomyces meyeri was inversely associated with the age of first cannabis smoking. Strikingly, oral exposure of Actinomyces meyeri, an oral pathobiont, but not the other two control bacteria, decreased global activity, increased macrophage infiltration, and increased ß-amyloid 42 protein production in the mouse brains. INTERPRETATION: This is the first study to reveal that long-term oral cannabis exposure is associated oral enrichment of Actinomyces meyeri and its contributions to CNS abnormalities.

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INTRODUCTION: Having a better understanding of individual factors associated with e-cigarette initiation can help improve prevention efforts. Therefore, this study aimed to (1) identify baseline characteristics associated with e-cigarette initiation, and (2) determine whether changes in these baseline characteristics were associated with e-cigarette initiation. METHODS: This study used data from Year 6 (2017/18, baseline) and Year 7 (2018/19, follow-up) of the COMPASS study. The final sample included 12 315 students in Grades 9 to 11 who reported never having tried e-cigarettes at baseline. Students reported demographic information, other substance use, school behaviours, physical activity, sedentary behaviour, sleep, symptoms of anxiety and depression, and emotional regulation and flourishing scores. Hierarchical GEE models, stratified by gender, examined the association between (1) baseline characteristics and e-cigarette initiation at follow-up and (2) changes in baseline characteristics and e-cigarette initiation at follow-up. RESULTS: In total, 29% of students who had not yet initiated e-cigarette use reported initiating e-cigarette use at follow-up. Students in Grades 10 and 11 were less likely to initiate e-cigarette use. Other substance use, skipping school and meeting the physical activity guidelines at baseline and one-year changes to these behaviours were associated with e-cigarette initiation among both male and female students. Additionally, some differences were noted between females and males. CONCLUSION: Given that other health behaviours were associated with e-cigarette initiation, prevention approaches should target multiple health-risk behaviours to help prevent youth e-cigarette use. Additionally, school-based approaches may benefit by being implemented at the beginning of high school or in junior high school.

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The objective of this study is to examine the longitudinal associations between latent classes of substance use and anxiety and depression scores among youth who use substances. This study uses data from three waves (Wave 1: 2017/18, Wave 2: 2018/19, and Wave 3: 2019/20) of the COMPASS study. Students in grades 9 and 10 who reported substance use at baseline (n = 738) report their substance use (alcohol, cannabis, cigarettes, and e-cigarettes) and anxiety and depression symptoms at each wave. A Repeated Measures Latent Class Analysis (RMLCA) is used to determine substance use classes, and mixed models are used to examine the associations between substance use classes and anxiety and depression. We identify three classes of substance use: (1) occasional alcohol and e-cigarette use, (2) escalating poly-substance use, and (3) consistent poly-substance use. After controlling for relevant covariates, consistent poly-substance use is associated with depression (Female OR: 1.24 [95%CI: 0.46, 2.02]; Male OR 1.13 [95%CI: 0.38, 1.87]) but not anxiety. Escalating poly-substance use is associated with depression among males (OR 0.72 [95%CI: 0.10, 1.33]). These findings should be taken into consideration when creating prevention programming and treatment strategies for adolescents. Substance use programming should be comprehensive, consider multiple substances, and be cognizant of symptoms of mental illness, particularly depression.

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BACKGROUND: Given possible impairment in psychomotor functioning related to acute cannabis intoxication, we explored whether smartphone-based sensors (e.g., accelerometer) can detect self-reported episodes of acute cannabis intoxication (subjective "high" state) in the natural environment. METHODS: Young adults (ages 18-25) in Pittsburgh, PA, who reported cannabis use at least twice per week, completed up to 30 days of daily data collection: phone surveys (3 times/day), self-initiated reports of cannabis use (start/stop time, subjective cannabis intoxication rating: 0-10, 10 = very high), and continuous phone sensor data. We tested multiple models with Light Gradient Boosting Machine (LGBM) in distinguishing "not intoxicated" (rating = 0) vs subjective cannabis "low-intoxication" (rating = 1-3) vs "moderate-intensive intoxication" (rating = 4-10). We tested the importance of time features (i.e., day of the week, time of day) relative to smartphone sensor data only on model performance, since time features alone might predict "routines" in cannabis intoxication. RESULTS: Young adults (N = 57; 58 % female) reported 451 cannabis use episodes, mean subjective intoxication rating = 3.77 (SD = 2.64). LGBM, the best performing classifier, had 60 % accuracy using time features to detect subjective "high" (Area Under the Curve [AUC] = 0.82). Combining smartphone sensor data with time features improved model performance: 90 % accuracy (AUC = 0.98). Important smartphone features to detect subjective cannabis intoxication included travel (GPS) and movement (accelerometer). CONCLUSIONS: This proof-of-concept study indicates the feasibility of using phone sensors to detect subjective cannabis intoxication in the natural environment, with potential implications for triggering just-in-time interventions.

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INTRODUCTION: Few studies have assessed patterns of substance use among Canadian adolescents. This cross-sectional study examined substance use classes among Canadian secondary school students and associations with anxiety and depression. METHODS: This study used data from Year 6 (2017/18) of the COMPASS study. Students (n = 51 767) reported their substance use (alcohol, cannabis, cigarette and e-cigarette use) and anxiety and depression symptoms. We employed latent class analysis to identify substance use classes and multinomial logistic regression to examine how anxiety and depression were associated with class membership. RESULTS: Overall, 40% of students indicated having anxiety and/or depression (50% in females; 29% in males) and 60% of students reported substance use (60% in females; 61% in males). We identified three substance use classes: poly-use, dual use, and non-use. Females with both anxiety and depression had the highest odds of being in the poly-use class compared to the non-use class (odds ratio [OR] = 4.09; 95% confidence interval [CI]: 3.59-4.65) followed by females with depression only (OR = 2.65; 95% CI: 2.31-3.04) and males with both anxiety and depression (OR = 2.48; 95% CI: 2.19-2.80). Symptomatology was also associated with belonging to the dual use class except among males with anxiety only (OR = 1.13; 95% CI: 0.94-1.37). CONCLUSION: Canadian secondary school students are engaging in dual and poly-substance use, and anxiety and depression were associated with such use. Females had a higher prevalence of anxiety and depression and should be a priority population for mental health programming.

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PURPOSE: Sexual minority young adults report greater cigarette and cannabis use. Emerging evidence suggests this trend may extend to e-cigarettes. The current study evaluated the relationship between sexual identity and prevalence of e-cigarette, cigarette, and cannabis use and whether such associations differ by gender. METHODS: Cross-sectional, regionally representative data of young adults (M[SD]age = 20.02 [0.60] years; n heterosexual = 1314; n bisexual = 77; n lesbian/gay = 28) from Wave III (2016) of the Southern California Children's Health Study were analyzed in 2019. Logistic regression analyses were conducted with sexual identity as the predictor and product use (never, prior, infrequent past 30-day [1-2 days], frequent past 30-day [3-5+ days]) as the outcome in separate models by substance (e-cigarettes, cigarettes, cannabis). RESULTS: Bisexual individuals were the highest-risk sub-group for nearly all outcomes, with over five times the odds of reporting frequent past 30-day use for e-cigarettes (Odds Ratio [OR]: 6.68; 95% Confidence Interval [CI]: 2.80, 15.9), cigarettes (OR: 5.42; 95% CI: 2.37, 12.4), and cannabis (OR: 8.43; 95% CI: 4.40, 16.1) compared to heterosexual individuals. Although the sample size for lesbian/gay participants was small, bisexual (vs. lesbian/gay) participants also had greater odds of reporting prior use of nicotine products and frequent past 30-day cannabis use. A significant sexual identity × gender interaction emerged for lifetime cigarette use, wherein bisexual (vs. heterosexual) identity was only associated with greater odds of use for females (p < .01). CONCLUSIONS: Sexual minority-related disparities in substance use among young adults appear to generalize to e-cigarettes, with bisexual young adults exhibiting especially high profiles of risk.

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INTRODUCTION: In this study we examined the co-occurrence of alcohol, cannabis, and tobacco among a large cohort of grade 12 students in Canada, and then explored if the age of initiation of these substances was associated with moderate-to-vigorous physical activity (MVPA), screen time, and BMI. METHODS: This cross-sectional study used student-level data from grade 12 students in years 1 to 5 (2012-2016) of the COMPASS study. Random intercept linear regression models were used to examine the impact of age of initiation of alcohol, cannabis, and tobacco use on student average daily physical activity, daily screen time and BMI. RESULTS: Twenty-eight percent of students had only tried one substance with alcohol being the most reported single substance used (25%). The most common co-occurrence was students reporting having tried all three substances (27%). Nineteen percent of students reported no substance use by grade 12.Younger age of first use of alcohol was associated with increased MVPA in grade 12. Earlier initiation of cannabis and tobacco were associated with increased screen time in grade 12. Age of first use of alcohol, cannabis and tobacco were not associated with BMI in grade 12. CONCLUSION: While no specific cut-off age was identified this study indicates that for every year tobacco and cannabis use are delayed among children, there are subsequent reductions to screen time in grade 12. Early initiation of alcohol was associated with increased MVPA in grade 12. Early initiation of alcohol, cannabis and tobacco were not associated with BMI in grade 12.

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INTRODUCTION: Ongoing surveillance of youth substance use is essential to quantify harms and to identify populations at higher risk. In the Canadian context, historical and structural injustices make monitoring excess risk among Indigenous youth particularly important. This study updated national prevalence rates of tobacco, alcohol, and marijuana use among Indigenous and non-Indigenous students. METHODS: Differences in tobacco, alcohol, and marijuana use were examined, using logistic regression, among 1700 Indigenous and 22 800 non-Indigenous youth in Grades 9-12 who participated in the 2014/15 Canadian Student Tobacco, Alcohol and Drugs Survey. Differences by sex were also examined. Mean age of first alcohol and marijuana use was compared in the two populations using OLS regression. Results were compared to 2008/09 data. RESULTS: While smoking, alcohol, and marijuana rates have decreased compared to 2008/09 in both populations, the gap between the populations has mostly not. In 2014/15, Indigenous youth had higher odds of smoking (odds ratio [OR]: 5.26; 95% confidence interval [CI]: 3.54-7.81) and past-year drinking (OR: 1.43; 95% CI: 1.16- 1.76) than non-Indigenous youth. More Indigenous than non-Indigenous youth attempted quitting smoking. Non-Indigenous males were less likely to have had at least one drink in the past-year compared to non-Indigenous females. Indigenous males and females had higher odds of past-year marijuana use than non-Indigenous males (OR: 1.84; 95% CI: 1.32-2.56) and females (OR: 2.87; 95% CI: 2.15-3.84). Indigenous youth, especially males, drank alcohol and used marijuana at younger ages. CONCLUSION: Additional policies and programs are required to help Indigenous youth be successful in their attempts to quit smoking, and to address high rates of alcohol and marijuana use.

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BACKGROUND: Online communities can provide social support to those in need and can foster personal empowerment for individuals experiencing distress. This study examines the content of a Reddit community dedicated to the support of people trying to quit using cannabis, in order to develop an understanding of the type of social networking occurring on this subreddit (e.g., community). METHODS: A total of 100 Reddit posts and their replies (i.e., comments) were collected from the subreddit on June 12, 2015. Posts were qualitatively coded for expression of DSM-5 (Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition) symptoms of cannabis use disorder (CUD) as well as other prominently featured themes. Comments on posts where individuals were seeking support/advice were also coded. RESULTS: Ninety-one people posted the 100 Reddit posts, and of those 35 (38%) people described enough symptoms to be classified as mild disorder severity, 15 (16%) moderate, and 11 (12%) severe, as outlined in the diagnostic criteria for CUD. Over half of posts (n = 51) were seeking advice and/or support from members of the community. There were 174 comments made by 108 unique people on the advice/support seeking posts. Most were supportive/encouraging in nature (140, 80%) and gave advice to the post author (126, 72%). CONCLUSIONS: This exploratory research highlights the potential of online communities as tools for individuals coping with addiction recovery, and future research should investigate if involvement in such communities would be a beneficial supplement to more traditional recovery practices.

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