Evidence map›Paper›PMID 40075426›Full record

ArticleAddiction science & clinical practice2025

What smartphone apps exist to support recovery from opioid use disorder? A content analysis of publicly available opioid-related smartphone apps.

Alivia Williamson, Behnam Heydarshahi, Diadora Finley-Abboud, Lili Massac, Lindsay Jacobson, Naicha Christophe, Judeline Joseph, Allison Futter, Susanne S Hoeppner, Bettina B Hoeppner

Abstract read
In one paragraph

Article in Addiction science & clinical practice, 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. Article
  2. 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

10 authors.

Alivia WilliamsonHealth through Flourishing, Department of Psychiatry, Massachusetts General Hospital, 125 Nashua Street, Boston, MA, 02114, USA.
Behnam HeydarshahiGoogle, 1600 Amphitheatre Parkway, Mountain View, CA, 94043, USA.
Diadora Finley-AbboudHealth through Flourishing, Department of Psychiatry, Massachusetts General Hospital, 125 Nashua Street, Boston, MA, 02114, USA.
Lili MassacHealth through Flourishing, Department of Psychiatry, Massachusetts General Hospital, 125 Nashua Street, Boston, MA, 02114, USA.
Lindsay JacobsonHealth through Flourishing, Department of Psychiatry, Massachusetts General Hospital, 125 Nashua Street, Boston, MA, 02114, USA.
Naicha ChristopheHealth through Flourishing, Department of Psychiatry, Massachusetts General Hospital, 125 Nashua Street, Boston, MA, 02114, USA.
Judeline JosephHealth through Flourishing, Department of Psychiatry, Massachusetts General Hospital, 125 Nashua Street, Boston, MA, 02114, USA.
Allison FutterHealth through Flourishing, Department of Psychiatry, Massachusetts General Hospital, 125 Nashua Street, Boston, MA, 02114, USA.
Susanne S HoeppnerHealth through Flourishing, Department of Psychiatry, Massachusetts General Hospital, 125 Nashua Street, Boston, MA, 02114, USA.
Bettina B HoeppnerHealth through Flourishing, Department of Psychiatry, Massachusetts General Hospital, 125 Nashua Street, Boston, MA, 02114, USA. bhoeppner@mgh.harvard.edu.

Funding

Advancing the science on recovery community centers to support persons treated with medications for opioid use disorder: Administrative SupplementR24DA051988 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI HOEPPNER, BETTINA B. · 2020 to 2024
$3.6M
Leveraging community-based participatory research and infoveillance to advance the science on recovery community centers serving Black communitiesK02DA056613 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI HOEPPNER, BETTINA B. · 2023 to 2023
$65k
NIDA NIH HHS K02 DA056613NIDA NIH HHS K02DA056613NIDA NIH HHS R24 DA051988NIDA NIH HHS R24DA051988-03S1
6 · The paper itself

Abstract

backgroundAn estimated 84,181 people died due to opioid overdose in 2022 alone [1]. Mobile technologies may offer an additional pathway to provide support to people seeking recovery from opioid use disorder (OUD). To this end, we conducted a content analysis of opioid-related apps to determine to what extent apps exist that provide support to people seeking or in recovery from OUD. For apps specifically targeting OUD recovery, we identified the tools these apps offer to users seeking support in their recovery.

methodsOur team conducted a content analysis of publicly available opioid-related apps identified via web-scraping in the Apple and Google app stores. Using a two-step qualitative coding process, we first identified which apps were meaningfully related to OUD recovery and second identified what tools, if any, these apps provided.

resultsWeb-scraping identified 1,136 apps from the Apple App Store (n = 247) and Google Play (n = 889). Of those, 290 apps were specific to OUD recovery (65% of iOS apps, 35% of Android apps). Of those, 161 apps were included in our final analysis. The most common type of tools provided support for motivation (65.2%) and accountability (65.8%). Many apps (53%) also supported linkage to recovery support (e.g., meeting finder, telehealth). Surprisingly, fewer apps provided information about OUD recovery (43.5%) or tools for cravings (33.5%). 42.9% of apps had limited accessibility (e.g., paywalls, private invite).

conclusionsOur results show a substantial increase in the number of apps designed to support OUD recovery. Nevertheless, there remains a need for apps that provide empirically supported information and tools. Furthermore, restrictions in accessibility (i.e., findability, cost, private) may limit the impact of available apps.

Indexed as

Mobile ApplicationsOpioid-Related DisordersSmartphoneHumansTelemedicinemHealthOpioid epidemicOpioid interventionOpioidsOpioid use disorderSmartphone apps

Identifiers

PMID40075426
PMCPMC11905484

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.