SynthesisJournal of medical Internet research2020
Mobile Apps to Reduce Tobacco, Alcohol, and Illicit Drug Use: Systematic Review of the First Decade.
Synthesis in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 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
49 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Ecological momentary interventions for smoking cessation: a systematic review and meta-analysis.Social psychiatry and psychiatric epidemiology · 2023Pooled it
- Effective Behavior Change Techniques in Digital Health Interventions for the Prevention or Management of Noncommunicable Diseases: An Umbrella Review.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2023Pooled it
- Virtual Reality in Prevention and Treatment of Substance-Related Disorders: A Systematic Review of Randomized Controlled Trials.Clinical psychology & psychotherapyPooled it
- Evaluating the Impact of a Game (Inner Dragon) on User Engagement Within a Leading Smartphone App for Smoking Cessation: Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- Effect of a Smartphone App (S-Check) on Actual and Intended Help-Seeking and Motivation to Change Methamphetamine Use Among Adult Consumers of Methamphetamine in Australia: Randomized Waitlist-Controlled Trial.JMIR mHealth and uHealth · 2024Trial
- Greater perceived stress and lower self-regulation associated with substance use behaviors in a national sample of United States emergency medical service clinicians.Drug and alcohol dependence · 2026Article
- Identifying Behavior Change Techniques for Digital Interventions Addressing Alcohol and Tobacco Co-Use: Findings From a Delphi Consensus Study.JMIR formative research · 2026Article
- Large language models for psychosocial risk assessment: A multi-method evaluation across suicide, intimate partner violence, and substance misuse.PLOS digital health · 2026Article
- Adolescents' Engagement With an mHealth Multiple Health Behavior Change Intervention (LIFE4YOUth): Mixed Methods and Qualitative Comparative Analysis.JMIR mHealth and uHealth · 2026Article
- Designing mHealth Apps for Substance Use Recovery Through Real-World Co-Design and Deployment: Mixed Methods Study.JMIR mHealth and uHealth · 2026Article
- Digital Therapies for Substance Use Disorders: Recent Advances and Engagement Strategies.Substance abuse and rehabilitation · 2026Review
- Digital relapse prevention plan for substance use disorders: study protocol for a multicentre randomised controlled trial.BMJ health & care informatics · 2025Article
- Effectiveness and Adherence of Standalone Digital Tobacco Cessation Modalities: A Systematic Review of Systematic Reviews.Healthcare (Basel, Switzerland) · 2025Review
- The Unsolved Problem of Attrition Rates on Randomized Clinical Trials for Cocaine Use Disorders: A Scoping Review.Substance use & addiction journal · 2025Article
- The role and reach of alcohol reduction apps.Health affairs scholar · 2025Article
- Co-designing a mobile application to reduce self-stigma for people with opioid use disorder during pregnancy and the postpartum period.Frontiers in psychiatry · 2025Article
- Alcohol Feedback, Reflection, and Morning Evaluation (A-FRAME): Refining and testing feasibility and acceptability of a smartphone-delivered alcohol intervention for heavy-drinking young adults.Alcohol, clinical & experimental research · 2024Article
- Mobile Health Interventions for Substance Use Disorders.Annual review of clinical psychology · 2024Review
- 'I Like Checking in on Myself': Control Group Experiences in a Strengths-Based Addiction Recovery Study, with Implications for Self-Monitoring and Measurement Reactivity.Qualitative social work : QSW : research and practice · 2024Article
- Therapeutic Content of Mobile Phone Applications for Substance Use Disorders: An Umbrella Review.Mayo Clinic proceedings. Digital health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile apps for problematic substance use have the potential to bypass common barriers to treatment seeking. Ten years following the release of the first app targeting problematic tobacco, alcohol, and illicit drug use, their effectiveness, use, and acceptability remains unclear.
objectiveThis study aims to conduct a systematic literature review of trials evaluating mobile app interventions for problematic tobacco, alcohol, and illicit drug use.
methodsThe review was conducted according to recommended guidelines. Relevant databases were searched, and articles were included if the mobile app study was a controlled intervention trial and reported alcohol, tobacco, or illicit drug consumption as outcomes.
resultsA total of 20 studies met eligibility criteria across a range of substances: alcohol (n=11), tobacco (n=6), alcohol and tobacco (n=1), illicit drugs (n=1), and illicit drugs and alcohol (n=1). Samples included the general community, university students, and clinical patients. The analyzed intervention sample sizes ranged from 22 to 14,228, and content was considerably diverse, from simple stand-alone apps delivering self-monitoring or psychoeducation to multicomponent apps with interactive features and audio content, or used as adjuncts alongside face-to-face treatment. Intervention duration ranged from 1 to 35 weeks, with notifications ranging from none to multiple times per day. A total of 6 of the 20 app interventions reported significant reductions in substance use at post or follow-up compared with a comparison condition, with small to moderate effect sizes. Furthermore, two other app interventions reported significant reductions during the intervention but not at post treatment, and a third reported a significant interaction of two app intervention components.
conclusionsAlthough most app interventions were associated with reductions in problematic substance use, less than one-third were significantly better than the comparison conditions at post treatment. A total of 5 out of the 6 apps that reported intervention effects targeted alcohol (of those, one targeted alcohol and illicit drugs and another alcohol and tobacco) and 1 targeted tobacco. Moreover, 3 out of 6 apps included feedback (eg, personalized) and 2 had high risk of bias, 1 some risk, and 3 low risk. All 6 apps included interventions of 6 weeks or longer. Common study limitations were small sample sizes; risk of bias; lack of relevant details; and, in some cases, poorly balanced comparison conditions. Appropriately powered trials are required to understand which app interventions are most effective, length of engagement required, and subgroups most likely to benefit. In sum, evidence to date for the effectiveness of apps targeting problematic substance use is not compelling, although the heterogeneous comparison conditions and trial designs across studies limit the ability to compare efficacy between apps. We discuss potential approaches that can help ascertain whether the promise of mobile app interventions for problematic substance use can be fulfilled.
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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.