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Background: Australia introduced a prescription only policy for e‐cigarettes in 2011 to prevent uptake among youth while allowing smokers to access e‐cigarettes for cessation. This is one of the restrictive forms of regulation for e‐cigarettes recommended by the World Health Organisation. Aims: To assess whether the policy has prevented e‐cigarette youth uptake and facilitated smokers' access to e‐cigarettes for cessation; and to examine a proposed toughening of the policy. Methods: An analysis of survey and administrative data on e‐cigarette use and smoking and a critical analysis of the contents of submissions to parliamentary inquiries into the policy. Results: E‐cigarette use among youth and young adults has increased steeply since 2016 but very few of these products have been obtained through the prescription system, because medical authorities discourage their use. A policy change in 2021 to increase the prescription of e‐cigarettes has not reduced e‐cigarette use among youth and only marginally increased rates of prescribing. Australian policy makers have nonetheless tightened the prescription system by banning any use of e‐cigarettes unless prescribed by a doctor and dispensed by a pharmacist. Implications: Australia's tightened prescription policy for e‐cigarettes may reduce adolescent vaping but at the risk of reducing smokers' access to e‐cigarettes and increasing the size of the illicit market for combustible cigarettes and e‐cigarettes. A more effective policy would allow vapes to be sold as consumer products by licensed tobacconists under regulations that require prior product approval, plain packaging, bans on their promotion and enforced age restrictions on purchases. [ABSTRACT FROM AUTHOR]

Randomized controlled trials (RCTs) are considered the gold standard for causal inference. With a sufficient sample size, randomization removes confounding up to the time of randomization and allows the treatment effect to be isolated. However, RCTs may have limited generalizability and transportability and are often not feasible in addiction research due to ethical or logistical constraints. The importance of observational studies from real‐world settings has been increasingly recognized in research on health. This paper provides an overview of modern approaches to designing observational studies that enable causal inference. It illustrates three key techniques, Directed Acyclic Graphs (DAGs), modified Disjunctive Cause Criterion and Target Trial Emulation, and discusses the strengths and limitations of their applications. [ABSTRACT FROM AUTHOR]

Background and Aims: Heated tobacco products (HTPs) are electronic devices that heat process tobacco to release an aerosol containing nicotine and other chemicals. Limited data exist on world‐wide HTP use prevalence. This meta‐analytic review estimated the prevalence of HTP use by country, World Health Organization (WHO) region, year, sex/gender and age. Methods: Five databases (Web of Science, Scopus, Embase, PubMed and PsycINFO) were searched between January 2015 and May 2022. Included studies reported the prevalence of HTP use in nationally representative samples post‐modern HTP device market entry (2015). A random‐effects meta‐analysis was used to estimate overall prevalence for life‐time, current and daily HTP use. Results: Forty‐five studies (n = 1 096 076) from 42 countries/areas from the European Region (EUR), Western Pacific Region (WPR), Region of the Americas (AMR) and African Region (AFR) met inclusion criteria. Estimated pooled prevalence for life‐time, current and daily HTP use was 4.87% [95% confidence interval (CI) = 4.16, 5.63], 1.53% (95% CI = 1.22, 1.87) and 0.79% (95% CI = 0.48, 1.18), respectively, across all years (2015–22). Life‐time HTP use prevalence significantly increased by 3.39% for WPR [0.52% (95% CI = 0.25, 0.88) in 2015 to 3.91% (95% CI = 2.30, 5.92) in 2019] and 5.58% for EUR [1.13% (95% CI = 0.59, 1.97) in 2016 to 6.98% (95% CI = 5.69, 8.39) in 2020]. Current HTP use increased by 10.45% for WPR [0.12% (95% CI = 0, 0.37) in 2015 to 10.57% (95% CI = 5.59, 16.88) in 2020] and 1.15% for EUR [0% (95% CI = 0, 0.35) in 2016 to 1.15% (95% CI = 0.87, 1.47) in 2020]. Meta‐regression revealed higher current HTP use in WPR [3.80% (95% CI = 2.88, 4.98)] compared with EUR [1.40% (95% CI = 1.09, 1.74)] and AMR [0.81% (95% CI = 0.46, 1.26)] and for males [3.45% (95% CI = 2.56, 4.47)] compared with females [1.82% (95% CI = 1.39, 2.29)]. Adolescents had higher life‐time HTP use prevalence [5.25% (95% CI = 4.36, 6.21) than adults [2.45% (95% CI = 0.79, 4.97)]. Most studies scored a low risk of sampling bias due to their nationally representative sampling. Conclusion: The prevalence of HTPs use increased in the EUR and WPR between 2015 and 2020, with nearly 5% of the included populations having ever tried HTP and 1.5% identifying as current users during the study period. [ABSTRACT FROM AUTHOR]

Aim: To test if there was a reduction in alcohol consumption in wastewater samples in the Northern Territory of Australia after the implementation of a minimum unit alcohol price policy (MUP) in October 2018. Design, setting, cases: Between August 2016 and February 2020, wastewater samples were collected across 66 sites in the Northern Territory and all other states and territories in Australia. Samples were collected every 2 months in capital cities and every 4 months in regional places during this period. Overall, 4917 samples were taken (2816 before MUP and 2101 after). Measurements The number of standard drinks per 1000 people per day in the respective catchment areas was estimated based on the concentration of an alcohol‐specific metabolite, ethyl sulphate in the samples (using the excretion factor of ethyl sulphate, the flow of wastewater entering the wastewater treatment plants and the population of each wastewater catchment). Findings Results from a linear mixed model showed that there was a large drop in alcohol consumption immediately after the MUP in Northern Territory [estimated drop = 1231, 99% confidence interval (CI) = 830, 1633; 38.75%]. There was no significant drop in all other states/territories except for Queensland, which showed a significant but much smaller drop (estimated drop: 310; 99% CI = 114, 550). One year after the MUP, the drop narrowed to 520 (99% CI = 189, 851) and was no longer statistically significant in February 2020 (15 months after MUP; estimated drop = 283, 99% CI = −114, 681). Conclusions: Per‐capita consumption of alcohol appears to have decreased substantially in the Northern Territory of Australia immediately after the implementation of a minimum unit price but consumption steadily recovered and almost returned to the pre‐MUP consumption level after 15 months. [ABSTRACT FROM AUTHOR]

Background and Aims: Studies have consistently found a longitudinal association between e‐cigarette use (vaping) and cigarette smoking. Many have interpreted such association as causal. This systematic review and meta‐analysis evaluated the plausibility of a causal interpretation by (1) estimating the effect of adolescent vaping on smoking initiation, adjusted for study quality characteristics, (2) evaluating the sufficiency of adjustment for confounding based on the social development model (SDM) and the social ecological model (SEM) and E‐value analyses and (3) investigating sample attrition and publication bias. Methods: Systematic review and meta‐analysis of longitudinal studies that examined the association between e‐cigarette use at baseline and smoking at follow‐up. Participants were non‐smokers aged < 18 at baseline. Results: Meta‐analysis of 11 studies showed a significant longitudinal association between vaping and smoking [adjusted odds ratio (aOR) = 2.93, 95% confidence interval (CI) = 2.22, 3.87]. Studies with sample sizes < 1000 had a significantly higher odds ratio (OR = 6.68, 95% CI = 3.63, 12.31) than studies with sample sizes > 1000 (OR = 2.49, 95% CI = 1.97, 3.15). Overall, the attrition rate was very high (median = 30%). All but one study reported results from complete sample analysis, despite those dropping out having higher risk profiles. Only two studies comprehensively adjusted for confounding. The median E‐value was 2.90, indicating that the estimates were not robust against unmeasured confounding. Conclusions: There is a longitudinal association between adolescent vaping and smoking initiation; however, the evidence is limited by publication bias, high sample attrition and inadequate adjustment for potential confounders. [ABSTRACT FROM AUTHOR]

An editorial is presented in which the authors discusses errors with medical cannabis and marijuana research funded by the cannabis industry, including in regard to medical marijuana's putative role in lessening opioid overdose deaths in the US. An overview of the role that the mass media plays in publicizing inaccurate cannabis research

Abstract: Background and Aims: Studies have linked adolescent alcohol use with adverse consequences in adulthood, yet it is unclear how strong the associations are and to what extent they may be due to confounding. Our aim was to estimate the strength of association between different patterns of adolescent drinking and longer‐term psychosocial harms taking into account individual, family and peer factors. Design: Participant‐level data were integrated from four long‐running longitudinal studies: Australian Temperament Project, Christchurch Health and Development Study, Mater Hospital and University of Queensland Study of Pregnancy and Victorian Adolescent Health Cohort Study. Setting: Australia and New Zealand. Participants: Participants were assessed on multiple occasions between ages 13 and 30 years (from 1991 to 2012). Number of participants varied (up to n = 9453) by analysis. Measurements: Three patterns of alcohol use (frequent, heavy episodic and problem drinking) were assessed prior to age 17. Thirty outcomes were assessed to age 30 spanning substance use and related problems, antisocial behaviour, sexual risk‐taking, accidents, socio‐economic functioning, mental health and partner relationships. Findings: After covariate adjustment, weekly drinking prior to age 17 was associated with a two‐ to threefold increase in the odds of binge drinking [odds ratio (OR) = 2.14; 95% confidence interval (CI) = 1.57–2.90], drink driving (OR = 2.78; 95% CI = 1.84–4.19), alcohol‐related problems (OR = 3.04; 95% CI = 1.90–4.84) and alcohol dependence (OR = 3.30; 95% CI = 1.69–6.47) in adulthood. Frequency of drinking accounted for a greater proportion of the rate of most adverse outcomes than the other measures of alcohol use. Associations between frequent, heavy episodic and problem drinking in adolescence and most non‐alcohol outcomes were largely explained by shared risk factors for adolescent alcohol use and poor psychosocial functioning. Conclusions: Frequency of adolescent drinking predicts substance use problems in adulthood as much as, and possibly more than, heavy episodic and problem drinking independent of individual, family and peer predictors of those outcomes. [ABSTRACT FROM AUTHOR]