ArticleJournal of medical systems2015
iMStrong: Deployment of a Biosensor System to Detect Cocaine Use.
Article in Journal of medical systems, 2015. 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, 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.
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, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.
- Identification of Patient Perceptions That Can Affect the Uptake of Interventions Using Biometric Monitoring Devices: Systematic Review of Randomized Controlled Trials.Journal of medical Internet research · 2020Pooled it
- 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
- Article
- 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
- Mobile Health Interventions for Substance Use Disorders.Annual review of clinical psychology · 2024Review
- Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults.2024 International Conference on Activity and Behavior Computing · 2024Article
- Smartphone and Wearable Device-Based Digital Phenotyping to Understand Substance use and its Syndemics.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2024Article
- Acceptance of digital phenotyping linked to a digital pill system to measure PrEP adherence among men who have sex with men with substance use.PLOS digital health · 2024Article
- Advancing biological investigations using portable sensors for detection of sensitive samples.Heliyon · 2023Review
- Challenges and future trends in wearable closed-loop neuromodulation to efficiently treat methamphetamine addiction.Frontiers in psychiatry · 2023Review
- Identifying Biomarkers for Accurate Detection of Stress.Sensors (Basel, Switzerland) · 2022Article
- Perceptions on wearable sensor-based interventions for monitoring of opioid therapy: A qualitative study.Frontiers in digital health · 2022Article
- OpiTrack: A Wearable-based Clinical Opioid Use Tracker with Temporal Convolutional Attention Networks.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2021Article
- Digital Health Interventions for Mental Health, Substance Use, and Co-occurring Disorders in the Criminal Justice Population: A Scoping Review.Frontiers in psychiatry · 2021Article
- Realize, Analyze, Engage (RAE): A Digital Tool to Support Recovery from Substance Use Disorder.Journal of psychiatry and brain science · 2021Article
- Understanding Naloxone Uptake from an Emergency Department Distribution Program Using a Low-Energy Bluetooth Real-time Location System.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2020Observational
- Wearable and Wireless mHealth Technologies for Substance Use Disorder.Current addiction reports · 2020Article
- Wearable sensor-based detection of stress and craving in patients during treatment for substance use disorder: A mixed methods pilot study.Drug and alcohol dependence · 2020Observational
- Harmonizing Wearable Biosensor Data Streams to Test Polysubstance Detection.International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications · 2020Article
- Challenges and Opportunities in Collecting and Modeling Ambulatory Electrodermal Activity Data.JMIR biomedical engineering · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Biosensor systems are increasingly promoted for use in behavioral interventions. Portable biosensors might offer advancement over self-report use and can provide improved opportunity for detection and intervention in patients undergoing drug treatment programs. Fifteen participants wore a biosensor wristband capable of detecting multiple physiologic markers of sympathetic nervous system (SNS) arousal for 30 days. Urine drug screening and drug use self-report were obtained twice per week. A parameter trajectory description method was applied to capture abrupt changes in magnitude of three measures of SNS activity: Electrodermal activity (EDA), skin temperature and motion. Drug use events detected by the biosensor were verified using a triad of parameters: the biosensor data, urine drug screens, and patient self-report of substance use. Twelve positive cocaine urine screens were identified. Thirteen self-reported episodes of cocaine use were recorded. Distinct episodes with biometric parameters consistent with cocaine use were identified on biosensor data. Eleven potential cocaine use episodes were identified by biosensors that were missed by both self-report and drug screening. Study participants found mobile biosensors to be acceptable, and compliance with the protocol was high. Episodes of cocaine use, as measured by supraphysiologic changes in biophysiometric parameters, were detected by analysis of biosensor data in instances when self-report or drug screening or both failed. Biosensors have substantial potential in detecting substance abuse, in understanding the context of use in real time, and in evaluating the efficacy of behavioral interventions for drug abuse.
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.