The relationship between cannabis and nicotine use: A systematic review and meta-analysis.

BACKGROUND AND AIMS: Cannabis and nicotine (tobacco or e-cigarettes) use commonly co-occurs and understanding their relationship can help to inform public health strategies to prevent their harms. We conducted a systematic review and meta-analysis to estimate the association of cannabis use given prior nicotine use and vice versa. METHODS: PubMed, Embase, PsycINFO, Google Scholar and a hand-search were conducted in 2023 for longitudinal studies of the general population with no restrictions in settings (locations). Random-effects meta-analysis was conducted to estimate odds ratios between cannabis and nicotine use in both directions. The impact of unmeasured confounding was assessed using E-values. RESULTS: From 5387 identified records, we included 20 studies. Among cannabis-naïve youths, baseline use of any nicotine products was positively associated with initiation of any cannabis use at follow-up [odds ratio (OR) = 5.39, 95% confidence interval (CI) = 3.19, 9.11; adjusted OR (aOR) = 2.59, 95% CI = 2.01, 3.32]. In nicotine-naïve participants (youths + adults), baseline cannabis use was positively associated with the initiation of any nicotine use at follow-up (OR = 4.08, 95% CI = 2.05, 8.11; aOR = 2.94, 95% CI =1.54, 5.61). There were no significant associations between baseline cannabis use and subsequent initiation of any nicotine (aOR = 3.29, 95% CI = 0.85, 12.76) or daily nicotine use (aOR = 2.63, 95% CI = 0.41, 16.95) among youths. The median E-values were 5.5 for nicotine exposure and cannabis use initiation and 4.1 for cannabis exposure and nicotine use initiation, indicating that substantial unmeasured confounding would need to have a strong association with both outcomes to fully explain away the cannabis and nicotine relationship. CONCLUSION: Although the evidence for associations between cannabis use and tobacco use is mixed, a majority of studies to date have found that cannabis use is associated with prior nicotine use and vice versa.

Preventable Deaths Attributable to Second-Hand Smoke in Southeast Asia-Analysis of the Global Burden of Disease Study 2019.

Objectives: In addition to harms caused to individuals who smoke, second-hand smoke (SHS or passive smoke) is an important public health issue. We aim to estimate the extent of preventable deaths due to tobacco and SHS exposure in Southeast Asia. Methods: Data were from the Global Burden of Disease Study 2019. We analysed data from Southeast Asia, including Cambodia, Indonesia, Laos, Malaysia, Maldives, Mauritius, Myanmar, Philippines, Seychelles, Sri Lanka, Thailand, Timor-Leste, and Vietnam. Results: In 2019, there were 728,500 deaths attributable to tobacco in Southeast Asia, with 128,200 deaths attributed to SHS exposure. The leading causes of preventable deaths were ischemic heart disease, stroke, diabetes mellitus, lower respiratory infections, chronic obstructive pulmonary disease, tracheal, bronchus, and lung cancer. Among deaths attributable to tobacco, females had higher proportions of deaths attributable to SHS exposure than males in Southeast Asia. Conclusion: The burden of preventable deaths in a year due to SHS exposure in Southeast Asia is substantial. The implementation and enforcement of smoke-free policies should be prioritized to reduce the disease burden attributed to passive smoking in Southeast Asia.

Regional and Country Prevalence Estimates of Unsafe Sex Among Adolescents in 68 Low-Income and Middle-Income Countries.

Prioritizing adolescent health is a public health priority to achieve the sustainable development goals, including reducing the risk of unsafe sex. Data on unsafe sex have remained scarce among adolescents in low-and middle-income countries (LMICs). To estimate the prevalence of unsafe sex in LMICs, we conducted secondary data analysis on the Global School-based Student Health Surveys among 244,863 students aged 13-17 years from 68 countries across five World Health Organization regions. The overall prevalence of ever had sex was 16.2%. The highest to lowest regional prevalence estimation of ever had sex was 30.5% (28.9-32.1) in the Americas, 28.6% (26.8-30.4) in Africa, 10.9% (9.2-12.6) in the Eastern Mediterranean, 9.6% (8.8-10.5) in South-East Asia, and 8.0% (6.8-9.1) in the Western Pacific. The highest prevalence of sexual intercourse before age 14 and practicing sexual intercourse without condom use were 36.5% (34.5-38.5) and 32.2% (30.1-34.3) in Africa, respectively. Findings suggest that current interventions are inadequate in promoting the uptake of safe sexual behaviors and an urgent intervention is needed.

Participation in Australian drug treatment programs for individuals engaging in high-risk substance use: Data from a nationally representative sample.

INTRODUCTION: Substance use, including drugs, alcohol and smoking have a significant health, social and economic impact. We aim to assess the rate and factors associated with treatment access among individuals with high-risk substance use. METHOD: This study is a cross-sectional analysis of the 2019 Australian National Drug Strategy Household Survey (N = 22,015). Participants were persons with high-risk substance use based on the Alcohol, Smoking and Substance Involvement Screening Test-Lite (ASSIST-Lite) and current smokers. We measured self-reports of past 12-month engagement in a tobacco, alcohol or other drugs treatment program. RESULTS: Overall, 0.4% had high-risk drug use (0.3% cannabis, 0.1% meth/amphetamine or 0.1% opioids), 7.4% had high-risk alcohol use, and 14.0% currently smoked. Among high-risk users, past 12-month treatment access rates were 50.6% [22.3-78.9%] for opioids, 27.1% [8.1-46.1%] for meth/amphetamine, 14.5% [4.3-24.7%] for cannabis, 9.6% [8.1-11.0%] for alcohol and 11.7% [10.6-12.9%] for current smoking. The primary source of treatment support was information and education (12.7% drugs, 4.6% alcohol, 4.0% smoking), followed by counselling (6.7% drugs, 4.5% alcohol, 3.0% smoking). Online or internet support was accessed by 5.9% (drug) and 1.6% (alcohol) people with high-risk use. Psychological distress was associated with treatment access (drugs: odds ratio 3.03 [0.77-11.95], p = 0.111; alcohol: odds ratio 3.16 [2.20-4.56], p ≤ 0.001; smoking: odds ratio 1.95 [1.52-2.49], p ≤ 0.001). DISCUSSION AND CONCLUSIONS: The proportion of people engaging in risky substance use who had used treatment programs remains low, especially for alcohol. Public health strategies to scale up treatment access are warranted.

Promotions of vaping products near schools and central business district: A descriptive cross-sectional study.

ISSUES ADDRESSED: The increase of youth vaping in Australia has raised concerns, especially with increasing promotions of vaping products. We observed the visibility of vaping products near high-adolescent-traffic areas. METHODS: We examined stores within walking distance of high schools and the central business district (CBD) in Brisbane, Australia, observing the number and proportion of stores selling or displaying vaping products. Using an observational approach, we analysed advertisements and open displays of vaping products at tobacconists, vape stores, and convenience stores. RESULTS: We identified 61 eligible stores located near schools or in the CBD. Overall, 20% of stores displayed vaping products externally, with higher proportions among vape stores (78%) compared to tobacconists (36%). Additionally, 46% of stores had visible interior displays, with vape stores (89%) displaying them more frequently than tobacconists (71%). Among the 28 stores displaying vaping products, 57% included warnings, one store featured only flavoured products, and 25% showcased nicotine-containing products. Youth-appealing features were present in all but one store, with cartoons (61%) as the most common feature. CONCLUSION: Vapes were displayed near high schools and in the city, often featuring youth-appealing features, such as colours and flavours. SO WHAT?: The exposure to such promotions could normalise vaping and contribute to increased youth uptake. Continued monitoring of vaping product promotions is essential, particularly considering recent policy changes.

Non-medical use of pharmaceutical opioids with and without other illicit substances in Australia: Prevalence and correlates.

INTRODUCTION AND AIMS: To estimate the prevalence of non-medical use of pharmaceutical opioids and examine the socio-demographic, psychological, health and behavioural correlates and type of opioids used. DESIGN AND METHODS: Data from the Australian National Drug Strategy Household Survey 2016 was used. The sample consisted of. 23 448 participants aged over 14 years (54% female). The key measure was opioid use status in the past year. Based on participants' responses to questions about their substance use in the past 12 months, they were grouped into four opioid use status: (i) No illicit substance use (ISU) and no non-medical use of pharmaceutical opioids (NMUPO); (ii) ISU but no NMUPO; (iii) NMUPO but no ISU; and (iv) NMUPO and ISU. RESULTS: The prevalence non-medical pharmaceutical opioid use was 3.56%. Two-thirds of them engaged in NMUPO but no ISU; one-third engaged in NMUPO and ISU. Younger people were more likely to use pharmaceutical opioids in addition to other illicit drugs, while older people were more likely to only use pharmaceutical opioids. Alcohol risk and daily smoking were associated with using pharmaceutical opioids and other illicit drugs, but not with pharmaceutical opioids only. Those who reported only using pharmaceutical opioids were more likely to use over-the-counter codeine products. DISCUSSION AND CONCLUSIONS: Over 700 000 Australian used pharmaceutical opioids for non-medical purpose. Among users, two-thirds used only opioids and one-third used opioids in addition to other illicit drugs. Profile of these two types of users were substantially different. Future prevention efforts targeting different type of opioids users may need to be optimised based on their profiles.