ArticleJournal of medical toxicology : official journal of the American College of Medical Toxicology2016
Wearable Biosensors to Detect Physiologic Change During Opioid Use.
Article in Journal of medical toxicology : official journal of the American College of Medical Toxicology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 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
42 citing papers in PubMed, 88 citations in OpenAlex.
- A wearable acoustofluidic patch for rapid reversal of opioid overdose.Nature communications · 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
- Article
- An autonomous implantable device for the prevention of death from opioid overdose.Science advances · 2024Article
- Progress Achieved, Landmarks, and Future Concerns in Biomedical and Health Informatics.Healthcare (Basel, Switzerland) · 2024Review
- Conductive Polymer-Based Hydrogels for Wearable Electrochemical Biosensors.Gels (Basel, Switzerland) · 2024Review
- An Autonomous Implantable Device for the Prevention of Death from Opioid Overdose.bioRxiv : the preprint server for biology · 2024Article
- Users' Acceptability and Perceived Efficacy of mHealth for Opioid Use Disorder: Scoping Review.JMIR mHealth and uHealth · 2024Article
- Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence · 2024Article
- Technologies in Home-Based Digital Rehabilitation: Scoping Review.JMIR rehabilitation and assistive technologies · 2023Article
- Overdose Detection Technologies to Reduce Solitary Overdose Deaths: A Literature Review.International journal of environmental research and public health · 2023Review
- Digital Biomarker Applications Across the Spectrum of Opioid Use Disorder.Cogent mental health · 2023Article
- Electrochemical biosensors in healthcare services: bibliometric analysis and recent developments.PeerJ · 2023Review
- Leveraging Accelerometry as a Prognostic Indicator for Increase in Opioid Withdrawal Symptoms.Biosensors · 2022Article
- Impact of individual and treatment characteristics on wearable sensor-based digital biomarkers of opioid use.NPJ digital medicine · 2022Article
- Application of Digital Medicine in Addiction.Journal of Shanghai Jiaotong University (science) · 2022Article
- Media and technology usage and attitudes in emergency department patients.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
- Willingness to use a wearable device capable of detecting and reversing overdose among people who use opioids in Philadelphia.Harm reduction journal · 2021Article
- Early Detection of Exposure to Toxic Chemicals Using Continuously Recorded Multi-Sensor Physiology.Sensors (Basel, Switzerland) · 2021Article
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 1 institution in 1 country.
Funding
Abstract
introductionOpioid analgesic use is a major cause of morbidity and mortality in the US, yet effective treatment programs have a limited ability to detect relapse. The utility of current drug detection methods is often restricted due to their retrospective and subjective nature. Wearable biosensors have the potential to improve detection of relapse by providing objective, real time physiologic data on opioid use that can be used by treating clinicians to augment behavioral interventions.
methodsThirty emergency department (ED) patients who were prescribed intravenous opioid medication for acute pain were recruited to wear a wristband biosensor. The biosensor measured electrodermal activity, skin temperature and locomotion data, which was recorded before and after intravenous opioid administration. Hilbert transform analyses combined with paired t-tests were used to compare the biosensor data A) within subjects, before and after administration of opioids; B) between subjects, based on hand dominance, gender, and opioid use history.
resultsWithin subjects, a significant decrease in locomotion and increase in skin temperature were consistently detected by the biosensors after opioid administration. A significant change in electrodermal activity was not consistently detected. Between subjects, biometric changes varied with level of opioid use history (heavy vs. nonheavy users), but did not vary with gender or type of opioid. Specifically, heavy users demonstrated a greater decrease in short amplitude movements (i.e. fidgeting movements) compared to non-heavy users.
conclusionA wearable biosensor showed a consistent physiologic pattern after ED opioid administration and differences between patterns of heavy and non-heavy opioid users were noted. Potential applications of biosensors to drug addiction treatment and pain management should be studied further.
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.