ReviewAlcohol and alcoholism (Oxford, Oxfordshire)2025
Current approaches using remote monitoring technology in alcohol use disorder (AUD): an integrative review.
Review in Alcohol and alcoholism (Oxford, Oxfordshire), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Motivations and triggers for non-suicidal self-injury among adolescents with alcohol use disorder in China: a qualitative descriptive study.Child and adolescent psychiatry and mental health · 2026Article
- Using Mobile Technology to Study Episodes of Alcohol Self-Administration in Daily Life: A Narrative Review.Current addiction reports · 2026Review
- Digital relapse prevention plan for substance use disorders: study protocol for a multicentre randomised controlled trial.BMJ health & care informatics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
aimsThis integrative review aims to synthesize and update the current literature on mHealth applications and devices, such as smartphones, wearables, and breathalyzers, in alcohol use disorder (AUD) monitoring. It discusses the evolution of these tools, the current level of evidence, and facilitators and barriers to their implementation in research and interventions. The future potential for personalized interventions is also explored.
methodsIntegrative review. Three databases-PubMed, Web of Science, and PsycINFO-were used to identify quantitative and qualitative English written publications between 2014 and 2024, using terms related to mHealth, remote monitoring, and AUD. Results were extracted and comprehensively presented by topic.
resultsFifty-eight studies were included in the synthesis. Smartphones, mobile phones, breathalyzers, and wearables with transdermal sensors are the most frequently used devices for remote monitoring. The included studies demonstrated varying levels of development and evidence across devices. Ecological Momentary Assessment via smartphones was the most frequently used and, along with breathalyzers, was successfully applied in clinical trials involving interventions. Wearables were scarcely tested in interventions. Challenges related to adherence and psychological factors remain in a longer period of monitoring. Incipient use of predictive models integrating ongoing data shows promise in informing care providers and optimizing intervention delivery.
conclusionsEvidence supporting mHealth tools for AUD remains uneven across device types. While smartphones and breathalyzers show greater clinical applicability, wearables and passive sensing remain exploratory. Robust, comparative research is needed to guide effective selection and integration into care.
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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.