Evidence map›Paper›PMID 25330747›Full record

Observational studyJournal of medical toxicology : official journal of the American College of Medical Toxicology2015

Real-time mobile detection of drug use with wearable biosensors: a pilot study.

Stephanie Carreiro, David Smelson, Megan Ranney, Keith J Horvath, R W Picard, Edwin D Boudreaux, Rashelle Hayes, Edward W Boyer

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of medical toxicology : official journal of the American College of Medical Toxicology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.6field-weighted citation impact, top 8% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 100 citations in OpenAlex.

  1. Article
  2. 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 · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. A Wearable Device Towards Automatic Detection and Treatment of Opioid Overdose.IEEE transactions on biomedical circuits and systems · 2024
    Article
  10. Review
  11. Opioid Overdose Detection in a Murine Model Using a Custom-Designed Photoplethysmography Device.Ingenierie et recherche biomedicale : IRBM = Biomedical engineering and research · 2023
    Article
  12. Article
  13. Article
  14. Overdose Detection Technologies to Reduce Solitary Overdose Deaths: A Literature Review.International journal of environmental research and public health · 2023
    Review
  15. Review
  16. Article
  17. Article
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  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Stephanie CarreiroDepartment of Emergency Medicine, Division of Medical Toxicology, University of Massachusetts Medical School, University Campus, 55 Lake Avenue North, Worcester, MA, 01655, USA, Stephanie.Carreiro@umassmemorial.org.
David Smelson
Megan Ranney
Keith J Horvath
R W Picard
Edwin D Boudreaux
Rashelle Hayes
Edward W Boyer
University of Massachusetts Chan Medical School · USBrown University · USMassachusetts Institute of Technology · USUniversity of Minnesota · US

Funding

Mentoring in Advanced mHealth Technologies and Machine Learning for HIV/Drug Abuse ResearchK24DA037109 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BOYER, EDWARD W · 2014 to 2025
$1.9M
Text-Message-Based Depression Prevention for High-Risk Youth in the EDK23MH095866 · NIMH · RHODE ISLAND HOSPITAL · PI RANNEY, MEGAN LARIN · 2013 to 2017
$909k
iMStrong, an innovative remote monitoring system for detecting cocaine useR01DA033769 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BOYER, EDWARD W · 2012 to 2013
$840k
NIDA NIH HHS K24 DA037109NIDA NIH HHS L30 DA038357NIDA NIH HHS R01 DA033769NIDA NIH HHS R01DA033769-01NIMH NIH HHS K23 MH095866
6 · The paper itself

Abstract

While reliable detection of illicit drug use is paramount to the field of addiction, current methods involving self-report and urine drug screens have substantial limitations that hinder their utility. Wearable biosensors may fill a void by providing valuable objective data regarding the timing and contexts of drug use. This is a preliminary observational study of four emergency department patients receiving parenteral opioids and one individual using cocaine in a natural environment. A portable biosensor was placed on the inner wrist of each subject, to continuously measure electrodermal activity (EDA), skin temperature, and acceleration. Data were continuously recorded for at least 5 min prior to drug administration, during administration, and for at least 30 min afterward. Overall trends in biophysiometric parameters were assessed. Injection of opioids and cocaine use were associated with rises in EDA. Cocaine injection was also associated with a decrease in skin temperature. Opioid tolerance appeared to be associated with a blunted physiologic response as measured by the biosensor. Laterality may be an important factor, as magnitude of response varied between dominant and nondominant wrists in a single patient with bilateral wrist measurements. Changes in EDA and skin temperature are temporally associated with intravenous administration of opioids and cocaine; the intensity of response, however, may vary depending on history and extent of prior use.

Indexed as

AdultAgedAged, 80 and overAnalgesics, OpioidBiosensing TechniquesBody TemperatureCocaineFeasibility StudiesFemaleGalvanic Skin ResponseHumansMaleMassachusettsMiddle AgedMonitoring, AmbulatoryPatient Acceptance of Health CareAnalgesics, OpioidCocaine

Identifiers

PMID25330747
PMCPMC4371024
OpenAlexW1985076132

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.