ReviewAnnual review of clinical psychology2024
Mobile Health Interventions for Substance Use Disorders.
Review in Annual review of clinical psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07067151 (Use of Noninvasive Wearables Biomonitoring to Detect Pre-Smoking, Smoking, And Post-Smoking Stages), which is not on this map. Cited by 36 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.
Use of Noninvasive Wearables Biomonitoring to Detect Pre-Smoking, Smoking, And Post-Smoking Stages: An Observational Laboratory Study
Who cites it
36 citing papers in PubMed, 39 citations in OpenAlex.
- Daily variations and factors related to alcohol avoidance motivation and alcohol use among adults who are unhoused.The American journal of drug and alcohol abuse · 2026Trial
- Just-in-Time Adaptive Intervention for Smoking Cessation in Low-Income Adults: A Randomized Clinical Trial.JAMA network open · 2025Trial
- Detecting Deception and Ensuring Data Integrity in a Nationwide mHealth Randomized Controlled Trial: Factorial Design Survey Study.Journal of medical Internet research · 2025Trial
- Mobile intervention for emerging adults with regular cannabis use: a micro-randomized trial.Lancet regional health. Americas · 2026Article
- A Geospatially Customizable Culturally Tailored Just-in-Time Adaptive Intervention for Violence-Affected People Living With HIV: Mixed Methods Acceptability, Feasibility, and User Experience Study.JMIR human factors · 2026Article
- Digital Physical Activity Interventions for Mental Health Promotion of and Reduction in Addictive Behaviors: Integrative Comprehensive Review with a Focus on Personalization and Implementation.International journal of environmental research and public health · 2026Review
- Trends in fatal and non-fatal injuries in the United States: analyzing incidence and costs from 2015 to 2022.BMC public health · 2026Article
- Effects of Ecological Momentary Assessment Prompting Schedule on Affect Measurement Variability and Associations With Next-Day Health Behaviors.Assessment · 2026Article
- HIV and Substance Use Reduction for Youth Experiencing Homelessness: Development and Usability Study.JMIR formative research · 2026Article
- Digital Therapeutic Content for Substance Use Disorder Treatment: Development and Evaluation Study.JMIR formative research · 2026Article
- Designing mHealth Apps for Substance Use Recovery Through Real-World Co-Design and Deployment: Mixed Methods Study.JMIR mHealth and uHealth · 2026Article
- State Medicaid Telehealth Policies and Rates of Alcohol and Substance Use Treatment at Federally Qualified Health Centers: Does Modality Matter?Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2026Article
- Predicting individual differences in digital alcohol intervention effectiveness through multimodal data.NPJ digital medicine · 2026Article
- Preferences for an Experience Sampling Method-Based Tool as an Adjunct to Usual Treatment in Patients With Problem Substance Use: Qualitative Study.JMIR formative research · 2026Article
- Rural and Urban Variation in Mobile Health Substance Use Disorder Treatment Mechanisms and Efficacy.Rural mental health · 2026Article
- How Variability Is Addressed in Interventions for Neurodiverse Conditions: Implications for Stuttering.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Engaging veterans in the development of mobile health interventions to support medication treatment for opioid use disorder.Frontiers in digital health · 2026Article
- Aerobic exercise for substance use disorders: therapeutic effects and underlying mechanisms.Frontiers in medicine · 2026Review
- Digital Therapies for Substance Use Disorders: Recent Advances and Engagement Strategies.Substance abuse and rehabilitation · 2026Review
- Implementation outcomes of video-observed oral fluid self-collection for drug testing in substance use disorder treatment: a pilot study.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
Substance use disorders (SUDs) have an enormous negative impact on individuals, families, and society as a whole. Most individuals with SUDs do not receive treatment because of the limited availability of treatment providers, costs, inflexible work schedules, required treatment-related time commitments, and other hurdles. A paradigm shift in the provision of SUD treatments is currently underway. Indeed, with rapid technological advances, novel mobile health (mHealth) interventions can now be downloaded and accessed by those that need them anytime and anywhere. Nevertheless, the development and evaluation process for mHealth interventions for SUDs is still in its infancy. This review provides a critical appraisal of the significant literature in the field of mHealth interventions for SUDs with a particular emphasis on interventions for understudied and underserved populations. We also discuss the mHealth intervention development process, intervention optimization, and important remaining questions.
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.