Evidence map›Paper›PMID 39816527›Full record

ArticleDevice2024

An implantable system for opioid safety.

Hen-Wei Huang, Peter R Chai, Seungho Lee, Tom Kerssemakers, Ali Imani, Jack Chen, Marco Heim, Jessica Y Bo, Adam Wentworth, Fokion T Sanoudos-Dramaliotis and 14 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Device, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. A Fentanyl-Responsive Microneedle Patch for Harm Reduction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Smart closed-loop drug delivery systems.Nature reviews bioengineering · 2025
    Article
  9. 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

24 authors.

Hen-Wei HuangDivision of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
Peter R ChaiKoch Institute for Integrated Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Seungho LeeDivision of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
Tom KerssemakersDivision of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
Ali ImaniDivision of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
Jack ChenDivision of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
Marco HeimDivision of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
Jessica Y BoDivision of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
Adam WentworthDivision of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
Fokion T Sanoudos-DramaliotisDivision of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
Ian BallingerDivision of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
Saurav MajiDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Matt MurphyDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Alexander AlexievDivision of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
Gloria H KangKoch Institute for Integrated Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Niora FabianKoch Institute for Integrated Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Josh JenkinsDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Andrew PettinariKoch Institute for Integrated Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Keiko IshidaKoch Institute for Integrated Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Jason LiDivision of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
Siheng Sean YouDivision of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
Alison M HaywardKoch Institute for Integrated Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Anantha ChandrakasanDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Giovanni TraversoDivision of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.

Funding

Smart Steps: A context-aware adherence intervention to improve PrEP adherence among men who have sex with men (MSM) with substance use disorderDP2DA056107 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI CHAI, PETER R · 2022 to 2022
$2.7M
NIDA NIH HHS DP2 DA056107
6 · The paper itself

Abstract

Naloxone can effectively rescue victims from opioid overdose, but less than 5% survive due to delayed or absent first responder intervention. Current overdose reversal systems face key limitations, including low user adherence, false positive detection, and slow antidote delivery. Here, we describe a subcutaneously implanted robotic first responder to overcome these challenges. This implantable system for opioid safety continuously monitors vital signs, detecting opioid overdose through an algorithm analyzing the interplay of cardiorespiratory responses. To address battery concerns with continuous monitoring and multi-sensing modality, an adaptive algorithm dynamically adjusts sensor resolution, reducing the need for frequent charging. Furthermore, the implant includes an ultra-rapid naloxone delivery pump, delivering the 10-mg antidote within 10 s. In animal trials, the robotic first responder successfully revived 96% of overdosed pigs (

Identifiers

PMID39816527
PMCPMC11735030

What OpenQuestion holds

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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.