ArticleDrug and alcohol dependence reports2025
Digital detection of craving and stress for individuals in recovery from substance use disorder: A qualitative study.
Article in Drug and alcohol dependence reports, 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
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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
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Who cites it
3 citing papers in PubMed.
- Wearable-derived measures of stress physiology in patients with opioid use disorder treated with methadone: A stress-task study in a real-world clinic with healthy controls.Drug and alcohol dependence reports · 2026Article
- User experience and real-world implementation of a peer-integrated digital health intervention for substance use disorder.Research square · 2026Article
- Predicting Craving-Related Emotions among Opioid Use Disorder Patients: Preliminary Results.... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Aims: This study aims to 1) categorize experiences with stress and craving during substance use disorder (SUD) treatment, 2) explore perceptions of both clients and treatment providers towards a digital detection system for stress and craving during recovery, and 3) identify barriers and facilitators to adopting this technology during SUD treatment. Methods: This was a qualitative study of people in recovery from SUD (clients) and healthcare providers from outpatient treatment facilities in the northeast United States. Clients were asked to use a digital health tool that detects physiological biomarkers of stress and craving (RAE Health) for 30 days alongside their usual treatment and to engage in a semi-structured interview upon completion. Providers were asked to participate in a one-time focus group. Results: Thirty-one clients completed a semi-structured interview, and eleven providers participated in two focus groups. Four core themes emerged from the qualitative data: categorization of experiences with stress and craving, perceptions of digital detection systems, perceived barriers and facilitators of the system, and desired features of the system. Overall, client and provider perception were positive, and acceptability of the digital health tool was high. Conclusions: A digital detection system for stress and craving during SUD recovery was perceived favorably by both clients and providers, with clients citing heightened awareness and providers citing opportunities for personalized care as promising use cases. Future iterations of digital health systems for this population should consider the ideal "dose" of the intervention to maximize benefit.
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Registered trials
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