Evidence map›Paper›PMID 34811425›Full record

ArticleScientific reports2021

Closed-loop wearable naloxone injector system.

Justin Chan, Vikram Iyer, Anran Wang, Alexander Lyness, Preetma Kooner, Jacob Sunshine, Shyamnath Gollakota

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. A Fentanyl-Responsive Microneedle Patch for Harm Reduction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Observational
  4. Article
  5. Review
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  7. Review
  8. Article
  9. Article
  10. Leveraging Trauma Informed Care for Digital Health Intervention Development in Opioid Use Disorder.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. A Wearable Device Towards Automatic Detection and Treatment of Opioid Overdose.IEEE transactions on biomedical circuits and systems · 2024
    Article
  15. Article
  16. Opioid Overdose Detection in a Murine Model Using a Custom-Designed Photoplethysmography Device.Ingenierie et recherche biomedicale : IRBM = Biomedical engineering and research · 2023
    Article
  17. Overdose Alert and Response Technologies: State-of-the-art Review.Journal of medical Internet research · 2023
    Review
  18. Article
  19. 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

7 authors at 2 institutions in 1 country.

Justin ChanPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA. jucha@cs.washington.edu.
Vikram IyerDepartment of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA.
Anran WangPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
Alexander LynessWest Pharmaceutical Services, Exton, PA, USA.
Preetma KoonerDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA.
Jacob SunshinePaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA. jesun@uw.edu.
Shyamnath GollakotaPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA. gshyam@cs.washington.edu.
University of Washington · USWest Pharmaceutical Services (United States) · US

Funding

Low-Cost Mobile Detection of Opioid Overdose EventsK23DA046686 · NIDA · UNIVERSITY OF WASHINGTON · PI SUNSHINE, JACOB · 2019 to 2022
$761k
NIDA NIH HHS K23 DA046686
6 · The paper itself

Abstract

Overdoses from non-medical use of opioids can lead to hypoxemic/hypercarbic respiratory failure, cardiac arrest, and death when left untreated. Opioid toxicity is readily reversed with naloxone, a competitive antagonist that can restore respiration. However, there remains a critical need for technologies to administer naloxone in the event of unwitnessed overdose events. We report a closed-loop wearable injector system that measures respiration and apneic motion associated with an opioid overdose event using a pair of on-body accelerometers, and administers naloxone subcutaneously upon detection of an apnea. Our proof-of-concept system has been evaluated in two environments: (i) an approved supervised injection facility (SIF) where people self-inject opioids under medical supervision and (ii) a hospital environment where we simulate opioid-induced apneas in healthy participants. In the SIF (n = 25), our system identified breathing rate and post-injection respiratory depression accurately when compared to a respiratory belt. In the hospital, our algorithm identified simulated apneic events and successfully injected participants with 1.2 mg of naloxone. Naloxone delivery was verified by intravenous blood draw post-injection for all participants. A closed-loop naloxone injector system has the potential to complement existing evidence-based harm reduction strategies and, in the absence of bystanders, help make opioid toxicity events functionally witnessed and in turn more likely to be successfully resuscitated.

Identifiers

PMID34811425
PMCPMC8608837
OpenAlexW3217504504

What OpenQuestion holds

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LicenceCC BY
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.