ArticleTobacco prevention & cessation2025
Efficacy of e-cigarettes for smoking cessation in populations with psychiatric and/or substance use problems: A secondary analysis of a randomized controlled trial.
Article in Tobacco prevention & cessation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Electronic cigarettes for smoking cessation.The Cochrane database of systematic reviews · 2026Pooled it
- Latest developments in the use of e-cigarettes by people with schizophrenia spectrum disorders who smoke: a scoping review.Frontiers in psychiatry · 2026Pooled it
- Electronic cigarettes for smoking cessation.The Cochrane database of systematic reviews · 2025Pooled it
- Trial
- The effects of switching to the standardized research electronic cigarette in people with HIV who smoke in the United States.Preventive medicine · 2025Trial
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPeople with psychiatric and substance use disorders are more likely to smoke and less likely to quit than smokers in the general population. We evaluated the efficacy of e-cigarettes for abstinence from tobacco smoking in people with psychiatric and substance use problems.
methodsWe analyzed data collected in the larger 'Efficacy, Safety, and Toxicology of ENDS as an Aid for Smoking Cessation' (ESTxENDS) trial (n=1246): the intervention group received e-cigarettes and e-liquids, plus standard-of-care smoking cessation counseling (SOC) for 6 months; the control group received SOC and a voucher. The primary outcome was biochemically validated continuous self-reported abstinence at 6 months; secondary outcomes included 6-month and 7-day self-reported abstinence. We calculated adjusted relative risks (ARR) for two subsamples meeting these conditions at the baseline visit: 1) psychotropic medication use; and 2) problematic substance or polysubstance use.
resultsAmong the participants using psychotropic medications (n=239), the ARR for validated abstinence was 2.62 (95% CI: 1.40-4.90) in the intervention group versus the control group, 2.95 (95% CI: 1.72-5.07) for 6-month and 2.96 (95% CI: 1.92-4.55) for 7-day self-reported abstinence, while among participants with problematic substance or polysubstance use (n=818), the ARR was 1.57 (95% CI: 1.20-2.04), 1.42 (95% CI: 1.15-1.74), and 1.53 (95% CI: 1.31-1.79), respectively.
conclusionsAdding e-cigarettes to standard-of-care counseling increased the likelihood that participants with psychiatric and substance use problems would abstain from smoking, but larger studies should test the efficacy and safety of smoking cessation interventions in this often-marginalized population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.