Nicotine and Tobacco Research

Introduction The Tobacco and Vapes Act 2026 provides the UK government powers to ban vaping in public places. Proposals include extending existing indoor smoke-free legislation to also being vape-free and making public children's playgrounds and outdoor areas of education settings vape-free. We examined adults' and adolescents' views on vape-free places. Methods Two UK-wide cross-sectional online surveys were conducted in 2026, one with adult (18+) current and former nicotine users (n=2,851), and one with adolescents aged 11-17 years (n=2,123). We measured (1) perceived acceptability of vaping in public places, (2) views on whether vapes should/should not be allowed in public places, and (3) perceived likelihood of public compliance with vaping bans. Results Adults considered it unacceptable to vape on public transport (85.9%), on school grounds (outdoors) (83.6%), outside hospital entrances (59.2%), and inside pubs (57.8%) and nightclubs (52.5%). A minority considered it unacceptable to vape at open air playparks (40.6%). Most adolescents viewed vaping as unacceptable in all locations. Perceived acceptability of vaping in each place was associated with current vaping and/or smoking. Adults and adolescents believed vaping should not be allowed on public transport (88.9%; 93.8%) or outdoors on school grounds (85.8%; 93.5%). Adults and adolescents perceived likely compliance on public transport, school grounds and in pubs, but not in nightclubs, outside hospital entrances and at open air playparks. Conclusion The findings indicate public support for some vape-free places among adults and adolescents, particularly on public transport and school grounds, and less so for a ban at open air playparks.

Abstract Aims To examine which demographic groups nicotine pouch advertisers chose to target on social media, and which groups Meta's algorithms actually delivered the adverts to. Design Cross-sectional analysis of advert-level data from the Meta Ad Library. Setting Meta social media platforms (including Facebook and Instagram) in the UK. Cases A random sample of 741 nicotine pouch adverts shown in the 12 months up to December 2025, and a comparison sample of 1,125 general adverts. Analyses of reach were restricted to adverts eligible for all genders and adult ages (444 pouch adverts; 674 general). Measurements Outcomes were advertiser-set gender and age-group targeting criteria (i.e., groups eligible to be shown each advert) and estimated advert reach to each group (i.e., number of people who saw each advert). Male-to-female reach ratios within age groups, and reach ratios comparing age groups, were calculated per advert and summarised using geometric means. To assess whether patterns were pouch-specific, comparisons with general adverts were made using ratios of reach ratios (RRR). Findings Advertisers of nicotine pouches targeted a broad sample; most adverts (79.1%; 586/741) were eligible to be shown to all genders, the remainder were restricted to men only. All were restricted to adults (minimum age 18 years) and most (95.6%; 708/741) had no upper age limit. Despite this, of pouch adverts eligible to be shown to all adults, adverts were more likely to reach men, particularly among younger men. Among 18-24-year-olds, pouch adverts reached around ten times as many men as women (RR 10.0, 95% CI 8.7-11.5), compared with a slight skew towards women for general adverts (RR 0.81, 95% CI 0.71-0.94), corresponding to an RRR of 12.3 (95% CI 10.0-15.1). Pouch adverts also showed a skew in reach towards younger age groups. Relative to those aged 35-44 years, reach was higher among 18-24-year-olds for nicotine pouch adverts (RR 1.33, 95% CI 1.17-1.51) but much lower for general adverts (RR 0.19, 95% CI 0.17-0.21), corresponding to an RRR of 7.0 (95% CI 6.0-8.2). Conclusions Nicotine pouch adverts on social media are often eligible to be shown broadly to all demographic groups but are disproportionately delivered to young men.

This cross-sectional study aimed to examine the prevalence of alcohol use and its sociodemographic correlates among adults with cardiovascular disease (CVD). We analyzed data from two large US cohorts: the All of Us Research Program (2017-2023) and the National Health and Nutrition Examination Survey (NHANES, 1999-2016). Both CVD diagnosis and past-year alcohol consumption were self-reported. Risky drinking was defined as exceeding moderate drinking or binge drinking (All of Us), or moderate/heavy drinking (NHANES). Multivariable logistic regression was used to exam associations with sociodemographic and lifestyle factors. Among 32,788 current drinkers with CVD in the All of Us cohort, 15% exceeded moderate drinking thresholds and 26% reported binge drinking. Older age, female sex, and higher socioeconomic status were inversely associated with risky drinking, while smoking was positively associated. In NHANES, moderate drinking rose from 47.3% to 57.2% and heavy drinking from 6.7% to 7.2%. Moderate/heavy drinking was positively associated with age <65 but inversely with age [&ge;]65. Higher education and income were linked to moderate drinking, while current smoking was strongly associated with heavy drinking. These results highlight the need to integrate holistic screening for alcohol use, tobacco use, and social context into routine cardiovascular care.

BackgroundThe initiation of tobacco and nicotine product use often occurs in adolescents. This necessitates monitoring of this behaviour in this population, particularly in countries such as the Democratic Republic of the Congo (DRC) where approximately 58% of the population is under 19 years of age. Our study assessed the prevalence of, and factors associated with use in the DRC. MethodsWe conducted a nationally representative, cross-sectional, household survey between March and May 2024 among adolescents aged 10 to 17 years. We estimated the prevalence of use of smoked and smokeless tobacco products, heated tobacco products, and nicotine products (i.e., electronic cigarettes and nicotine pouches). We used logistic regression to identify factors associated with current use of any tobacco product, smoked tobacco, and smokeless tobacco using adjusted odd ratios. All analyses included 95% confidence intervals (CI). ResultsOf the 4,675 adolescents who completed the survey, the prevalence of current use of any tobacco or nicotine product was 11.87% (95% CI: 6.93-19.58). This was 7.98% (95% CI: 4.23-14.55) for smoked tobacco products, 5.86% (95% CI: 3.42-9.87) for smokeless tobacco products, 0.11% (95% CI: 0.11-0.11) for heated tobacco products and 0.60% (95% CI: 0.10-3.40) for nicotine products. Boys were more likely to use tobacco than girls. Being enrolled in school and having both parents alive were protective from tobacco use. Having a male household head, a household head education level of at least secondary school, and exposure to tobacco smoking in public places increased the odds of being a tobacco user. ConclusionsThe DRC should strengthen policies that make tobacco and nicotine products less accessible or appealing to adolescents. This includes raising excise taxes; banning the sale of single cigarette sticks, small packets and flavoured products; and comprehensive smoke-free laws. Policies should account for factors that make adolescents more vulnerable product use. Key messagesO_ST_ABSWhat is already known on the topicC_ST_ABSO_LIThe last survey on tobacco use among adolescents in the DRC was a school-based survey among 13-15-year-olds conducted in 2008, and only covered Kinshasa and Lubumbashi. C_LI What this study addsO_LIThis survey provided national-level estimates that cover adolescents aged 10-17years, includes out-of-school adolescents, and covers both tobacco and nicotine products. C_LIO_LIIt also identifies individual-, household-, and environmental-level factors that are associated with tobacco and nicotine product use among adolescents in the DRC. C_LI How this study might affect research, practice or policyO_LIBy providing current and more comprehensive data, our study enhances policymakers ability to design evidence-based tobacco control interventions that are aimed at preventing the initiation and use of tobacco and nicotine products among adolescents in the DRC and other similar settings. C_LI

Tobacco control treaties were written for billboards and television, not for the people now selling lifestyles to young Africans. As mobile internet saturates East African cities, social media influencers have become an unmeasured channel, especially when it comes to tobacco promotion. We assessed the prevalence of tobacco use, its association with influencer exposure, and how urban youth interpret that exposure in two capitals with different tobacco laws. We conducted a comparative mixed-methods study among youth aged 18-29 years in Kampala, Uganda, and Nairobi, Kenya (January-August 2025), combining (i) a cross-sectional survey using systematic sampling at youth-dense venues (n=772), (ii) four online focus group discussions (FGDs; n=40), and (iii) content analysis of 30 tobacco-related posts from high-reach influencers (greater than 50,000 followers). We used chi-square tests and multivariable logistic regression, thematic analysis (Braun and Clarke), and descriptive engagement metrics. Ever tobacco use among urban youth in East Africa was 29.3% (226/772), similar in Kampala (30.7%) and Nairobi (28.0%; p=0.409). After adjustment, exposure to influencers promoting tobacco independently predicted ever use (adjusted odds ratio [aOR] 1.90, 95% confidence interval [CI] 1.29-2.82; p=0.001), alongside male sex (aOR 2.35) and age 26-29 years (aOR 1.99). Tertiary education (aOR 0.45) and never seeing tobacco content (aOR 0.26) were protective. Posts framed tobacco as aspirational lifestyle; 77% of sampled comments were positive and 47.5% expressed interest in trying the product. Influencer exposure behaved as a modifiable risk factor of a magnitude comparable to established demographic drivers. Tobacco control in the region must move from print-era advertising bans to platform governance, mandatory disclosure of paid promotion, and youth-led counter-marketing.

Objectives To compare hospital claims and costs for major tobacco associated diseases with ICD 10 F17 tobacco dependence coding in Indonesian national health insurance claims and to assess whether the insurer records tobacco addiction or mainly pays for its complications. Design Retrospective claims based observational study using routinely collected administrative claims reported according to STROBE and the RECORD extension. Setting Indonesian national health insurance scheme Jaminan Kesehatan Nasional including referral hospital and primary care claims from 2015 to 2023. Participants A national mental health claims sample of 54820 members with at least one ICD 10 mental or behavioral F code diagnosis weighted to 1032022 members and 2074277 referral hospital visits. Primary and secondary outcome measures The primary outcome was verified claim costs in USD for hospital visits with a primary diagnosis of chronic obstructive pulmonary disease J44 or tracheal bronchial or lung cancer C33 to C34 or ischemic heart disease I20 to I25 or stroke I60 to I69. Secondary outcomes were counts of ICD 10 F17 tobacco dependence coding and the disease to F17 coding ratio. Results The four tobacco associated disease groups accounted for 13946 visits among 5223 patients and USD 4.20 million in verified costs representing 6.0 percent of hospital spending in the sample. Weighted costs were USD 74.7 million of which cardiovascular and cerebrovascular disease accounted for 95 percent. F17 appeared in only 51 referral hospital encounters and 26 primary care encounters. Only 2 of 5223 patients with these tobacco associated diseases or 0.04 percent were ever coded with F17. Conclusions The Indonesian national insurer paid substantially for tobacco associated morbidity while tobacco dependence was almost never coded. Smoking related diseases were reimbursed but tobacco dependence treatment was not captured as a financed care target. Embedding brief cessation care reimbursable pharmacotherapy and routine F17 coding into primary care could help shift tobacco related expenditure from downstream complications toward addiction care. Keywords tobacco dependence smoking cessation F17 coding health expenditure administrative claims Indonesia

Background: Non-communicable diseases (NCDs) account for approximately 75% of global deaths, with 79% occurring in low- and middle-income countries. Tobacco use remains a major modifiable risk factor, contributing to more than 8 million deaths annually. In Zambia, evidence on tobacco use among individuals with hypertension, diabetes mellitus, and cardiovascular disease remains limited. This study assessed the prevalence and determinants of tobacco use among adults with NCDs in Zambia. Methods: We conducted a secondary analysis of the 2017 Zambia STEPS survey. The analytic sample included 716 adults aged 18-69 years with self-reported hypertension, diabetes, and/or cardiovascular disease. Tobacco use was defined as current smoking or smokeless tobacco use. Multivariable logistic regression was used to estimate adjusted odds ratios (AORs), accounting for the complex survey design. Results: Among 716 participants, 65.5% had hypertension, 7.7% diabetes, and 26.8% cardiovascular disease; 89.5% had multimorbidity. The overall prevalence of tobacco use was 12.2%. Prevalence was 12.2% among those with hypertension, 5.5% among those with diabetes, and 14.1% among those with cardiovascular disease. Tobacco use was significantly higher among males. Female sex was associated with lower odds of tobacco use (AOR = 0.16, 95% CI: 0.05-0.54, p = 0.004). Secondary education (AOR = 0.15, 95% CI: 0.03-0.66) and higher education (AOR = 0.04, 95% CI: 0.01-0.44) were protective. Alcohol consumption increased the odds of tobacco use (AOR = 5.23, 95% CI: 1.17-23.28). Conclusion: Tobacco use remains common among adults with NCDs in Zambia. Integration of tobacco cessation interventions into routine NCD care is urgently needed.

Primary human bronchial epithelial cells (pHBECs) of the airways of smokers are chronically exposed to cigarette smoke, which may induce chronic obstructive pulmonary disease (COPD) ranked fourth among the most common global causes of death. Using an established protocol for differentiation of pHBECs to a pseudostratified epithelium at an air liquid interface (ALI), we analyzed functional expression of transient receptor potential vanilloid 4 (TRPV4) proteins after application of cigarette smoke extract (CSE), which upregulated seven smoke exposure regulated genes (SERGs). TRPV4 protein expression in the plasma membrane and localization next to the cilia of ciliated cells was reduced, while cell barrier function was not altered after chronic exposure to CSE for 28 days compared to untreated control cells. Accordingly, TRPV4-mediated Ca2+ influx was blocked in pHBECs after CSE exposure. Moreover, Os-9 protein, which after binding mediates protection from degradation of TRPV4 protein by polyubiquitination, was significantly less expressed in pHBECs upon CSE exposure. Most interestingly, overexpression of OS-9 in pHBECs rescued reduced TRPV4 protein levels induced by CSE. Our study identifies a novel molecular mechanism of toxicity by CSE interfering with TRPV4 and OS-9 expression in pHBECs, which may blaze the trail for new therapeutic options in COPD.

E-cigarettes have attracted significant attention as a safer substitute for conventional tobacco smoking. However, they have introduced new inhalable toxicants, including benzaldehyde-propylene glycol acetal (BPGA)--a chemical adduct produced by cherry-flavoured e-cigarettes. The health risks associated with such flavour-derived acetals remain insufficiently elucidated at the cellular level. This study investigated the role of BPGA in the progression of epithelial-to-mesenchymal transition (EMT)-like changes in alveolar epithelial cells (A549 cells). A549 cells exposed to various concentrations of BPGA were analysed for cell viability, morphology, mitochondrial function, lysosomal health, and cytoskeletal integrity using viability assays and fluorescence imaging. Intracellular reactive oxygen species (ROS) production was quantified using the 2,7-dichlorodihydrofluorescein diacetate (DCFH-DA) assay. Antioxidant enzyme expression, inflammatory responses, and EMT-associated phenotypic alterations were evaluated using quantitative reverse transcription polymerase chain reaction (qRT-PCR) and immunofluorescence (IF) assays. Exposure of alveolar epithelial cells to BPGA caused a concentration-dependent decrease in cell viability. BPGA exposure resulted in mitochondrial membrane depolarisation, lysosomal damage, cytoskeletal changes, and stress fibre formation, which altered cell morphology. It significantly increased intracellular ROS production. As a result, antioxidant enzyme levels were upregulated as a protective response. However, during severe oxidative stress, this response was overwhelmed. Excess ROS disrupted cellular homeostasis and initiated apoptosis, though not completely. ROS also acted as a signalling molecule, promoting the upregulation of inflammatory mediators. These changes were associated with altered EMT marker expression, suggesting that BPGA might drive EMT-like remodelling. In conclusion, BPGA, a chemical adduct from e-cigarette vapour, induces alveolar injury by promoting oxidative stress, inflammation, and EMT-related changes, which may explain a mechanism by which e-cigarette exposure could lead to lung injury and pulmonary fibrosis. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=169 SRC="FIGDIR/small/724520v1_ufig1.gif" ALT="Figure 1"> View larger version (60K): org.highwire.dtl.DTLVardef@f7739dorg.highwire.dtl.DTLVardef@1c74f11org.highwire.dtl.DTLVardef@180aeeorg.highwire.dtl.DTLVardef@75ae14_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical abstractC_FLOATNO C_FIG

Objective To estimate the potential health and equity impacts of a tobacco free generation (TFG) and T21 policy (increasing the legal age of sale to 21) in Australia, in the context of a complex market including widespread illicit tobacco and e-cigarette product availability. Design A Markov macrosimulation model, parameterised with yearly net movements between legal smoking, illicit smoking, vaping, and dual use states, combined with a proportional multi-state lifetable. Setting The Australian population, modelled as an open cohort for 40-years. Intervention A 'business-as-usual' (BAU) scenario was compared to TFG and T21 policies, with both starting in 2026. Variations to policy impacts were tested under increasing background illicit market enforcement. Main outcome measures The model estimates the health-adjusted life years (HALYs) and deaths over 40 years, under each scenario, with differences across age and socioeconomic status (SES) presented. Results The TFG policy reduced daily smoking prevalence among 15-24-year-olds to 4.6% (95% uncertainty interval [UI] 3.8-5.7%) in 20 years' time, compared to 7.2% under the T21 policy and 7.9% under BAU trends. Vaping was minimally impacted by either policy. The TFG policy resulted in 178,000 (95% UI 87,800-314,000) HALYs being gained over 40 years. The policy impact was largest when accompanied by increased illicit market enforcement, reducing daily smoking among 15-24-year-olds to 1.4% within 20 years. Both policies had greater prevalence and health impacts on more disadvantaged compared to advantaged SES groups. Conclusion A TFG policy is expected to produce long-term benefits for the Australian population but would be most effective in combination with increased enforcement of illicit tobacco and e-cigarette markets. Novel strategies to increase quitting in addition to reducing uptake are needed to improve tobacco-related outcomes in the short to medium term.

Background: For US young adults aged 18-25 in the 2018-2024 period, fentanyl was involved in 78.2% of the 44,020 unintentional or undetermined-intent overdose deaths, most often co-involving stimulants and other non-opioid substances. While fatal overdose rates in this age group have fallen to their lowest recorded level, emergency medical services-attended non-fatal overdose events have reached record highs, shifting the decisive variable toward bystander recognition and response. College students report near-universal alcohol education but minimal education on the substances actually driving overdose mortality. Methods: We conducted a single-group pre-post evaluation of the DopaGE Portal, a gamified, mastery-based digital platform covering cocaine, MDMA, benzodiazepines, and opioid overdose response, deployed at a public university (UNL) and a multi-campus volunteer network (TACO). Paired pre/post surveys (N=42) measured self-efficacy (7 items; primary), behavioral intentions, risk perception, and knowledge/attitudes on 5-point scales, plus four factual knowledge questions. Paired t-tests, exact McNemar tests, and Benjamini-Hochberg correction across eight primary tests were applied. Institutional naloxone distribution at UNL was tracked as an ecological behavioral outcome. A mandated high-school cohort (N=94) provided supplementary acceptability data. Results: Self-efficacy increased from 2.82 to 4.46 (d=2.00, 95% CI 1.46-2.55; adjusted p<.001), and behavioral intentions from 4.24 to 4.81 (d=1.43; adjusted p<.001), with effects statistically indistinguishable across sites. Three of four knowledge items improved significantly (+31 to +41 percentage points). Risk perception was at ceiling at baseline (4.38/5) and did not change. In the two months following deployment, 38 naloxone kits were distributed on campus (limited to one per person from the campus pharmacy and health center) versus 14 in the preceding two years combined; the campus health center had distributed zero kits in 2025 despite stocked availability. Evaluation ratings were uniformly positive across voluntary and mandated cohorts, with zero negative ratings. Conclusions: A digital-only, gamified intervention produced large gains in overdose-response self-efficacy and substance-specific knowledge, with concurrent campus-level naloxone acquisition consistent with behavioral translation. These findings are preliminary -- single-group, modest N, ecological behavioral outcome -- and motivate a future randomized controlled trial.

In some countries, melatonin is sold without a physician prescription and dosage is unregulated. Transdermal products have become popular including those marketed for children. We measured consumer assumptions about these products among adult residents of the United States, analyzed lot-to-lot variability, and compared the pharmacokinetics of melatonin administered in oral, lotion, and bath product forms. Survey respondents (n=199) believed oral melatonin was more effective than transdermal products and that all melatonin products were relatively safe. Melatonin lotion products analyzed by HPLC displayed lot-to-lot variability as well as changes in formulation and product claims. To determine pharmacokinetics, three different treatments (oral tablets, lotion, and bath immersion) were administered to twelve undergraduate participants in a randomized, crossover design. Five additional participants completed bath product treatment only. Participants collected saliva samples up to 48 hours after administration, which were analyzed for melatonin by enzyme-linked immunosorbent assay. Oral (n=11) and lotion formulations (n=12) caused maximum salivary melatonin levels within 30 minutes after administration, but bath immersion did not cause increases in saliva melatonin (n=17). The half-life of oral melatonin was 1.17 [0.69 -- 1.65] hours versus 5.72 [3.75 -- 7.68] hours for lotion treatment (p = 0.011, effect size r = 0.770). Melatonin lotion may pose a risk to consumers who assume it is safe and less effective than oral tablets, when in fact it may be very potent and remain at high physiological levels into the following day. This study is registered on clinicaltrials.gov (NCT06382610) and was funded by the Sleep Research Society.

BackgroundFetal alcohol spectrum disorders (FASD) arising from prenatal alcohol exposure (PAE) are the leading preventable cause of neurobehavioral disorders. Early pregnancy is particularly vulnerable to ethanol toxicity, yet alcohol use often continues until pregnancy recognition. In Finland, national incidence estimates of PAE and FASD remain limited. ObjectiveTo estimate the incidence of any PAE and heavy PAE in Finland between 1990 and 2025, and to model the annual number of children with FASD born in or immigrating to Finland. MethodsWe developed a mathematical modelling framework integrating studies on alcohol use during pregnancy in Finland, biomarker-based estimates of heavy PAE, national population statistics, and international active case ascertainment studies on FASD prevalence. Incidence of any PAE was estimated from self-reported alcohol use, including pre-recognition exposure. Heavy PAE was estimated by combining binge-drinking prevalence, delayed pregnancy recognition, biomarker data and anonymous self-reports. FASD incidence was modelled using two approaches: 1) an international multiplier linking FASD prevalence to heavy episodic drinking prevalence among women, and 2) a conventional epidemiological ratio between any PAE and FASD. Immigration and international adoption were incorporated. ResultsSelf-reported alcohol use during pregnancy declined following abstinence recommendations in the early 2000s, while pre-recognition use remained relatively stable. Heavy PAE decreased from 9% (uncertainty range 7-11%) in the 1990s to 6% (4-8%) in the early 2020s. Any PAE declined from 75% (60-85%) to 32% (26-38%). Modelled FASD incidence showed similar decreasing trends, ranging from 6.8% to 5.6% (multiplier model), and from 6% to 3% (any PAE-based model). ConclusionPAE remains common in Finland, and the burden of FASD is substantial despite declining trends. Additional biomarker-based studies of PAE and active case ascertainment of FASD are needed to refine current estimates. Strengthened public health efforts to reduce PAE, including the efforts before recognition of pregnancy, are essential.

Adolescent use of alcohol, nicotine, and marijuana remains a major public health concern in the United States. Early identification of youth at elevated risk is critical for prevention before use begins or escalates. We developed and evaluated a longitudinal machine learning framework to predict alcohol, nicotine, and marijuana use at the next observed assessment wave. Data came from the Adolescent Brain Cognitive Development (ABCD) Study Release 6.0. The models incorporated predictors from multiple domains, including demographics, friends, family and community context, mental health, physical health, and prior substance-related behaviors. To reduce information leakage across individuals, we implemented a leakage-aware stacked ensemble. This ensemble combined diverse base learners through out-of-fold predictions and an elastic-net meta-learner. Across all three substances, the lagged stacked ensemble outperformed the cross-sectional stack and all single base learners. Adolescents identified as highest risk showed substantially higher observed rates of substance use than would be expected under random screening. Feature-importance analyses showed that the full longitudinal models were strongly influenced by developmental timing and prior-use history. Analyses restricted to current-wave features revealed distinct substance-specific risk patterns beyond prior-use history and developmental timing. Bootstrap stability analyses identified top-ranked features showing consistent positive predictive relevance across resampled adolescents. These findings suggest that longitudinal, leakage-aware machine learning can generate substance-specific risk estimates to support targeted prevention and screening in adolescent populations.

Objective: To examine changes in vaping and smoking trends following the announcement and implementation of the disposable vape ban in Great Britain. Design: Interrupted time-series analysis of representative monthly cross-sectional data from the Smoking Toolkit Study. Setting: Great Britain. Participants: 118,946 adults ([&ge;]16y), including 12,042 young adults (16-24y), surveyed between Jan-2022 and Feb-2026. Main outcome measures: Changes in trends in disposable vape use among vapers, and current vaping and smoking prevalence, using seasonally-adjusted generalised additive models with comparisons against a no-ban counterfactual in which pre-announcement trends continued unchanged. Results: The proportion of vapers mainly using disposable devices began to decline following the announcement of the ban in Jan-2024, with the fall accelerating after implementation in June-2025. By Feb-2026, 5.6% (95%CI 4.6-6.9) of adult vapers and 7.1% (5.1-10.1) of young adult vapers mainly used disposables, compared with 62.0% (53.6-71.8) and 63.6% (52.7-76.7), respectively, under a no-ban counterfactual. Increases in vaping prevalence slowed post-announcement and plateaued post-implementation; by Feb-2026, prevalence was lower than the no-ban counterfactual in adults (13.6% v 18.8%; difference -5.2 percentage points, 95%CI -7.1 to -3.3) and young adults (27.8% v 39.1%; -11.3, -18.6 to -4.1). Declines in smoking prevalence stalled among adults and reversed among young adults post-announcement, before shifting downward again post-implementation; by Feb-2026, smoking prevalence was similar to the no-ban counterfactual in adults (difference +0.9 percentage points, -0.5 to +2.2) but possibly higher in young adults (+3.3, -0.5 to +7.1). Conclusions: The disposable vape ban in Great Britain was associated with substantial changes after both announcement and implementation, including a marked reduction in disposable vape use and a slowing then plateauing of growth in overall vaping prevalence. However, declines in smoking also temporarily slowed--and among young adults, reversed--after the announcement, before downward trends resumed after implementation.

Introduction: Pediatric nicotine exposures remain an important and preventable public health issue, particularly with the rapid expansion of electronic nicotine delivery systems. This study compared demographic characteristics, exposure circumstances, and clinical outcomes between pediatric cases involving nicotine devices and bottled liquids reported to U.S. poison centers. Method: This retrospective cohort study analyzed National Poison Data System cases from 2011-2022 involving children aged less than 6 years exposed to nicotine devices or bottled liquids. Analyses were limited to cases with definitive medical outcomes. The primary outcome was defined as a moderate or major clinical effect or death. Odds ratios with 95% confidence intervals were calculated, with a secondary analysis restricted to route-concordant exposures. Results: The final cohort included 15,497 cases: 10,168 device exposures and 5,329 liquid exposures. Demographic characteristics were similar between groups. Device exposures more frequently involved inhalation, while ingestion predominated overall. Clinical effects were typically mild and transient, with vomiting and coughing most commonly reported. The primary outcome occurred in 1.9% of device cases and 2.0% of liquid cases (OR = 1.05; 95% CI 0.82-1.34). A secondary analysis restricted to inhalation-only device exposures and ingestion-only liquid exposures similarly found no significant difference in clinically important outcomes (OR = 1.38; 95% CI 0.92-2.12). Two deaths occurred, one in each group. Conclusion: These findings suggest that, despite differences in formulation and route of exposure, nicotine devices and bottled liquids produce broadly similar clinical toxicity profiles in young children. Prevention strategies should address all household nicotine products rather than focusing on specific delivery systems.

Short-form video platforms increasingly shape how young audiences encounter health information. Generative artificial intelligence can produce standardized avatar-based messages at scale, but randomized evidence for tobacco prevention is scarce. In this three-arm randomized online intervention study with pre-post assessment, participants aged 16 years or older were assigned to an AI avatar video emphasizing short-term smoking consequences, an AI avatar video presenting long-term cancer-related information matched to an American Cancer Society fact sheet, or the same fact sheet in written form. The primary outcome was post-intervention intention to avoid smoking and secondhand smoke exposure, adjusted for baseline intention. Among 400 randomized participants, 272 had complete data for the primary baseline-adjusted analysis. Intention increased from baseline to post-intervention in all conditions, with no statistically significant between-group differences. These findings support AI avatar videos as a scalable, social-media-compatible format for digital tobacco prevention, while not establishing superiority or equivalence.

Background: Alcohol use disorder (AUD) is marked by high relapse rates often driven by craving, yet less is known about whether in vivo, social, and place-based alcohol cues are differentially associated with craving across affective states. This study examined independent and affect-contingent associations of these cues with momentary craving in adults with AUD enrolled in an alcohol intervention study. Methods: Thirty-three adults with AUD completed up to four daily ecological momentary assessments (EMA) for 28 days. EMA prompts assessed craving, in vivo alcohol exposure, being around usual drinking partners, being in usual drinking places, and high-arousal positive affect (PA) and negative affect (NA). Multilevel mixed-effects models adjusted for demographics, intervention phase (1 = post, 0 = pre), AUD severity, and temporal and contextual covariates. Results: EMA compliance was high (median per-participant = 86.6%). Within-person elevations in in vivo alcohol exposure and being around usual drinking partners were independently associated with greater momentary craving, whereas being in usual drinking places was not. In vivo alcohol exposure was more strongly associated with craving during higher-than-usual PA ({beta} = 0.08, p = .032), whereas being in usual drinking places was more strongly associated with craving during higher-than-usual NA ({beta} = 0.06, p = .036), adjusting for intervention phase, which was associated with lower craving. Conclusions: Findings support the need for personalized just-in-time adaptive interventions tailored to high-risk, momentary cue-affect contexts in AUD, beyond low-frequency clinician-delivered feedback that may reduce average craving but not fully address real-time risk. ClinicalTrials.gov registration: NCT05135767.

Background: Despite the significant risks associated with online substance procurement (SP), few researchers have examined this practice in U.S. youth. The studies that do exist are cross-sectional and cannot temporally connect specific digital behaviors to online SP. This longitudinal cohort study examined youth SP and digital media habits to determine whether use of certain smartphone applications correlated with increased odds of online SP or being contacted online about procuring drugs or alcohol. Methods: A cohort of U.S. youth (aged 15-20) with a history of non-daily substance use in the 3 months prior to enrollment was recruited to use the digital phenotyping smartphone application EARS for 90 days. On a nightly basis, participants were asked to complete surveys about online experiences related to SP and instances of substance use. Smartphone-generated screen use data were also collected passively each day. Results: Out of 112 enrolled participants, 106 were able to be included in analyses. Over approximately 3 months, 28.3% of participants (n=30) reported a collective 91 instances where they used social media to acquire drugs or alcohol. Screen use data demonstrated temporal relationships between social media SP and applications previously connected to the social media drug-purchasing process (e.g., TikTok, encrypted apps), as well as other school-specific social media. Discussion: Our results provide critically needed research evidence to support a body of literature composed predominantly of anecdotal reports. Despite measures taken by social media companies to prevent use of their platforms for drug procurement, underage youth continue to engage in this practice.

Background: Smoking inequalities by socioeconomic status have widened consistently in Germany, but sex-specific trends after 2013 and inequalities in daily cigarette consumption among smokers (intensity) are unknown. We analyzed trends in absolute and relative socioeconomic inequalities in smoking prevalence and intensity among German adults across three decades. Methods: We used 14 waves (1998-2024) of population-representative cross-sectional data from the German Socio-Economic Panel to estimate sex-specific trends in smoking prevalence and intensity in adults aged 25-64. Inequalities were quantified across strata of education, occupation, and equivalized household income using the absolute and relative concentration index with 95% bootstrap confidence intervals. Results: Overall smoking prevalence declined from 35.05% (CI: [33.90%, 36.20%] in 1998 to 22.19% (CI: [21.15%, 23.24%]) in 2024, and mean intensity from 17.49 (CI: [17.09,17.90]) to 13.33 (CI: [12.88, 13.79]) cigarettes/day. Over this period sex-differences in both outcomes narrowed almost completely. Absolute and relative inequalities in smoking prevalence widened across all SES dimensions, particularly for education and occupation. By 2024, inequalities were larger among women than men driven by a stagnating or rising smoking prevalence among low-SES women at least until 2018 alongside continued declines in higher-SES women and for men. Inequalities in smoking intensity, particularly related to income, were generally smaller than those in prevalence. Conclusion: Socioeconomic smoking inequalities in Germany widened from 1998 to 2024 primarily driven by reductions among higher-SES groups and increases in low-SES women. However, recent reductions in low-SES women may indicate a new phase in the smoking epidemic. Health equity considerations should be integrated into a targeted German tobacco control strategy.