Evidence map›Paper›PMID 42773136›Full record

ArticleNature communications2026

A wearable acoustofluidic patch for rapid reversal of opioid overdose.

Yantao Xing, Yang Yang, Xiang Li, Hongwei Cai, Zhuhao Wu, Zheng Ao, Chunhui Tian, Vivian Niu, Jack Crystal, Gergő Szanda and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Yantao Xing *Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.ORCID http://orcid.org/0000-0002-4951-3451
Yang Yang *Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.
Xiang Li *Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.ORCID http://orcid.org/0000-0002-4916-524X
Hongwei CaiDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.ORCID http://orcid.org/0000-0002-7067-9050
Zhuhao WuDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.ORCID http://orcid.org/0000-0002-6278-1944
Zheng AoDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.
Chunhui TianDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.ORCID http://orcid.org/0000-0001-8795-8892
Vivian NiuDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.
Jack CrystalDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.
Gergő SzandaGill Institute for Neuroscience, and Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.ORCID http://orcid.org/0000-0002-1308-7593
Taylor J WoodwardGill Institute for Neuroscience, and Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.ORCID http://orcid.org/0000-0003-4910-409X
Heather B BradshawGill Institute for Neuroscience, and Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.ORCID http://orcid.org/0000-0001-7983-5729
Han-Ting ChenGill Institute for Neuroscience, and Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Junhua XuDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA. xujh0709@gmail.com.ORCID http://orcid.org/0000-0002-8029-201X
Ken MackieGill Institute for Neuroscience, and Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA. kmackie@iu.edu.ORCID http://orcid.org/0000-0001-8501-6199
Feng GuoDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA. fengguo@iu.edu.ORCID http://orcid.org/0000-0001-9103-3235

Funding

Microphysiological systems to Advance Precision medicine for Alzheimer's Disease and Related Dementias (MAP-AD)U54AG090792 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI Timothy I Richardson · 2025 to 2026
$9.9M
An automated portable system for detecting and treating opioid induced respiratory depressionU01DA056242 · NIDA · TRUSTEES OF INDIANA UNIVERSITY · PI GUO, FENG, MACKIE, KENNETH · 2022 to 2024
$3.8M
Early detection of type 1 diabetes via Exosome Technology with Optoelectronics Lab-on-chip: EXTOLR01DK133864 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI GAGLIA, JASON, GUO, FENG · 2022 to 2025
$3.0M
An acoustofluidic avidity cytometer for massive parallel profiling single autoreactive T cell in autoimmune diseaseDP2AI160242 · NIAID · TRUSTEES OF INDIANA UNIVERSITY · PI GUO, FENG · 2020 to 2020
$2.4M
NIAID NIH HHS DP2 AI160242NIA NIH HHS U54 AG090792NIDA NIH HHS U01 DA056242NIDDK NIH HHS R01 DK133864
6 · The paper itself

Abstract

Opioids are among the most potent and reliable analgesic agents currently available, but their overdose can lead to respiratory depression and death. Although naloxone is widely used to reverse opioid overdose, it is often challenging to administer naloxone quickly enough to reverse an opioid overdose before death. Herein, we present a wearable acoustofluidic patch for rapid and automatic detection and reversal of opioid overdose. By integrating digital acoustic streaming into a 3D-printed micro-device, an acoustofluidic patch can be assembled for active and on-demand transdermal delivery of naloxone. By incorporating deep learning-guided respiratory sensing, the wearable patch can be further adapted for intelligent closed-loop treatment of opioid overdose. Moreover, our wearable patch has demonstrated successful reversal of fentanyl overdose in a mouse model, showing significantly reduced detection time, duration, and severity of overdose events, compared to the conventional method. This innovative approach may provide a promising means for personalized healthcare and digital therapy against acute disease.

Indexed as

Analgesics, OpioidNaloxoneOpiate OverdoseWearable Electronic DevicesAcousticsAnimalsFentanylHumansMiceNarcotic AntagonistsPrinting, Three-DimensionalTransdermal PatchAnalgesics, OpioidFentanylNaloxoneNarcotic Antagonists

Identifiers

PMID42773136
PMCPMC13598111

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.