Evidence map›Paper›PMID 41501918›Full record

ArticleAddiction science & clinical practice2026

Characterizing app-based telemedicine for opioid use disorder treatment within the landscape of recovery-related smartphone applications.

Lauren E Hendy, Eileen Barrett, Cynthia Jimes, M Justin Coffey, Marlene C Lira

Abstract readLetter
In one paragraph

Article in Addiction science & clinical practice, 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

5 authors.

Lauren E HendyWorkit Health, Ann Arbor, MI, 48104, USA. lhendy@workithealth.com.
Eileen BarrettWorkit Health, Ann Arbor, MI, 48104, USA.
Cynthia JimesWorkit Health, Ann Arbor, MI, 48104, USA.
M Justin CoffeyWorkit Health, Ann Arbor, MI, 48104, USA.
Marlene C LiraWorkit Health, Ann Arbor, MI, 48104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 2025 qualitative content analysis by Williamson et al. evaluated tools available through smartphone apps to support patients with recovery from opioid use disorder. Their analysis focused primarily on the role of smartphone apps as secondary, adjunct resources to addiction treatment programs. In this commentary on the analysis by Williamson et al., we discuss how apps for comprehensive telemedicine treatment for opioid use disorder are a growing segment within the mobile health offerings geared toward addiction treatment. Communities that face barriers to accessing in-person care for opioid use disorder can receive evidence-based treatment, such as medication for opioid use disorder and behavioral counseling, through rigorously tested telemedicine apps. Peer-reviewed studies from telemedicine practices have demonstrated the effectiveness and quality of virtual care models in reducing opioid use and increasing recovery. Future research on app-based telemedicine will represent an important contribution to addiction science in evaluating new therapeutic and supportive interventions for long-term recovery from opioid use disorder.

Indexed as

Mobile ApplicationsOpioid-Related DisordersSmartphoneTelemedicineHumansHealth care deliveryHealth services evaluationMobile healthOpioid use disorderTelemedicine

Identifiers

PMID41501918
PMCPMC12781404

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.