Observational studyDrug and alcohol dependence2020
Wearable sensor-based detection of stress and craving in patients during treatment for substance use disorder: A mixed methods pilot study.
Observational study in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 37 papers, 1 of them a synthesis 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.
RAE (Realize, Analyze, Engage)- A Digital Biomarker Based Detection and Intervention System for Stress and Craving During Recovery From Substance Use Disorder: Phase II
Cognitive Behavioral Treatment With Activity Trackers for Smoking Cessation
Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.
- Anger and substance abuse: a systematic review and meta-analysis.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)Pooled it
- 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
- Real-Time Stress Experiences and Physiological and Psychological Responses Among LGBTQ+ Young Adults: Findings from the Stress and Heart Pilot Study.Sensors (Basel, Switzerland) · 2026Article
- User experience and real-world implementation of a peer-integrated digital health intervention for substance use disorder.Research square · 2026Article
- Craving as a transdiagnostic marker of addiction? A perspective for behavioral addictions.Frontiers in behavioral neuroscience · 2026Article
- Identifying risk factors for drug use recurrence with ecological momentary assessment, wearable technologies, and machine learning: a feasibility trial of peer recovery support specialist intervention.Frontiers in digital health · 2026Article
- Detecting Ethanol Intoxication and Impairment Using Wearable Biosensors.Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences · 2026Article
- What Are You Craving? Using Wearables to Distinguish Food and Drug Cravings During Treatment with Extended-Release Buprenorphine.Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences · 2026Article
- Optimizing an App-Based Just-in-Time Adaptive Intervention for Stimulant Use Among Sexual Minority Men Living with HIV: Protocol for a Community-Engaged Research Approach and Hybrid-Experimental Design.JMIR research protocols · 2025Article
- 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
- Opioid misuse detection from cognitive and physiological data with temporal fusion deep learning.Drug and alcohol dependence · 2025Article
- Digital detection of craving and stress for individuals in recovery from substance use disorder: A qualitative study.Drug and alcohol dependence reports · 2025Article
- Wearables research for continuous monitoring of patient outcomes: A scoping review.PLOS digital health · 2025Article
- Applied statistical methods for identifying features of heart rate that are associated with nicotine vaping.The American journal of drug and alcohol abuse · 2025Article
- Monitoring Substance Use with Fitbit Biosignals: A Case Study on Training Deep Learning Models Using Ecological Momentary Assessments and Passive Sensing.AI (Basel, Switzerland) · 2024Article
- Evaluation of a digital tool for detecting stress and craving in SUD recovery: An observational trial of accuracy and engagement.Drug and alcohol dependence · 2024Observational
- Efficient matrix profile computation with Euclidean distance using Eigen transformation: Performance evaluation based on beat-to-beat interval (BBI) data.Statistics in medicine · 2024Article
- Using a Smartwatch App to Understand Young Adult Substance Use: Mixed Methods Feasibility Study.JMIR human factors · 2024Article
- Review: Preventing Psychopathology in the Digital Age: Leveraging Technology to Target Coping and Emotion Regulation in Adolescents.JAACAP open · 2024Review
- Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study.JMIR research protocols · 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
6 authors at 2 institutions in 1 country.
Funding
Abstract
aimsTo determine the accuracy of a wearable sensor to detect and differentiate episodes of self-reported craving and stress in individuals with substance use disorders, and to assess acceptability, barriers, and facilitators to sensor-based monitoring in this population.
methodsThis was an observational mixed methods pilot study. Adults enrolled in an outpatient treatment program for a substance use disorder wore a non-invasive wrist-mounted sensor for four days and self-reported episodes of stress and craving. Continuous physiologic data (accelerometry, skin conductance, skin temperature, and heart rate) were extracted from the sensors and analyzed via various machine learning algorithms. Semi-structured interviews were conducted upon study completion, and thematic analysis was conducted on qualitative data from semi-structured interviews.
resultsThirty individuals completed the protocol, and 43 % (N = 13) were female. A total of 41 craving and 104 stress events were analyzed. The differentiation accuracies of the top performing models were as follows: stress vs. non-stress states 74.5 % (AUC 0.82), craving vs. no-craving 75.7 % (AUC 0.82), and craving vs. stress 76.8 % (AUC 0.8). Overall participant perception was positive, and acceptability was high. Emergent themes from the exit interviews included a perception of connectedness and increased mindfulness related to wearing the sensor, both of which were reported as helpful to recovery. Barriers to engagement included interference with other daily wear items, and perceived stigma.
conclusionsWearable sensors can be used to objectively differentiate episodes of craving and stress, and individuals in recovery from substance use disorder are accepting of continuous monitoring with these devices.
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.