Evidence map›Paper›PMID 39446308›Full record

ReviewJournal of medical toxicology : official journal of the American College of Medical Toxicology2025

Leveraging Trauma Informed Care for Digital Health Intervention Development in Opioid Use Disorder.

Krishna Venkatasubramanian, Johanna Appleton, Tina-Marie Ranalli, Kunal Mankodiya, Dhaval Solanki, Stephanie Carreiro

Abstract readReview
In one paragraph

Review in Journal of medical toxicology : official journal of the American College of Medical Toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    Review
  2. Observational
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

6 authors.

Krishna VenkatasubramanianDepartment of Computer Science and Statistics, University of Rhode Island, South Kingstown, USA.
Johanna AppletonDivision of Medical Toxicology, Department of Emergency Medicine, University of Massachusetts Chan Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA.
Tina-Marie RanalliIndependent Researcher, Providence, RI, USA.
Kunal MankodiyaDepartment of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, South Kingstown, USA.
Dhaval SolankiDepartment of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, South Kingstown, USA.
Stephanie CarreiroDivision of Medical Toxicology, Department of Emergency Medicine, University of Massachusetts Chan Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA. stephanie.carreiro@umassmed.edu.ORCID 0000-0003-1798-9006

Funding

MINDER: Wearable sensor-based detection of digital biomarkers of adherence to medications for opioid use disorderR01EB033581 · NIBIB · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI STEPHANIE P CARREIRO · 2023 to 2026
$2.6M
Craving-based Digital Phenotyping During MOUD TreatmentR01DA059640 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI STEPHANIE P CARREIRO · 2024 to 2026
$2.4M
The ANTIDOTE Institute- Advancing New Toxicology Investigators in Drug abuse and Original Translational research EffortsR25DA058490 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI STEPHANIE P CARREIRO, Peter R Chai · 2023 to 2026
$1.2M
NIBIB NIH HHS R01 EB033581NIDA NIH HHS R01 DA059640NIDA NIH HHS R01EB033581NIDA NIH HHS R25 DA058490
6 · The paper itself

Abstract

Digital health refers to the use of information and communication technologies in medicine (including smartphone apps, wearables, other non-invasive sensors, informatics and telehealth platforms) to prevent illness, deliver treatment, and promote wellness. This rapidly proliferating group of technologies has the potential to reduce harm for people with opioid use disorder (OUD) and facilitate the recovery process; however, development in this space for OUD has been slower compared to that for other medical conditions. Unique issues with OUD management surrounding patient provider relationships, interaction with the healthcare system, autonomy and trust sometimes hinder care approaches, including those in digital health. The trauma informed care framework (TIC), developed for use by organizations to support individuals who have experienced trauma, has particular applicability for digital health interventions in OUD care. This manuscript will serve as a review of TIC principles and how they can be applied to digital health interventions to increase access, equity, and empowerment for people with OUD. We will highlight representative current and pipeline digital technologies for OUD, challenges with these technologies, TIC models for OUD, and the integration of TIC principles into digital technology development to better serve people with OUD. Finally, we will posit strategies to incorporate the aforementioned principles into future research efforts. We ultimately aim to use TIC as a lens through which to develop digital technologies to help individuals with OUD while minimizing harm.

Indexed as

Opioid-Related DisordersTelemedicineDigital HealthHumansMobile ApplicationsDigital healthOpioid use disorderTrauma informed care

Identifiers

PMID39446308
PMCPMC11706808

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.