Evidence map›Paper›PMID 39704754›Full record

ArticleCommunity mental health journal2025

The Importance of Treatment Modality in Veterans with Opioid Use Disorder: Implications for Virtual Care.

Sarah Meshberg-Cohen, Ashley M Schnakenberg Martin, Noah R Wolkowicz, Georgina M Gross, Jason C DeViva

Abstract read
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Article in Community mental health journal, 2025. 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.

Sarah Meshberg-CohenDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA. sarah.meshberg-cohen@yale.edu.ORCID 0000-0003-1719-3681
Ashley M Schnakenberg MartinDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0003-0320-3009
Noah R WolkowiczDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-4443-2265
Georgina M GrossDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-5736-7589
Jason C DeVivaDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-4680-4165

Funding

CSRD VA IK2 CX002547U.S. Department of Veterans Affairs CX002547
6 · The paper itself

Abstract

This study examined treatment utilization across in-person and virtual treatment modalities in veterans who were on medications for opioid use disorder (MOUD; N = 139). Treatment records for veterans in addiction treatment on MOUD were examined for 3-months prior to telehealth conversions ("Pre-Telehealth," 12/02/2019-03/14/2020), 3-months during the initial telehealth transition ("Telehealth," 03/15/2020-06/30/2020) and 3-months during post-telehealth transition ("Re-Entry," 07/01/2020-10/01/2020). Analyses examined the relationship between treatment modality and demographic features, psychiatric comorbidities, treatment engagement, and illness severity as measured by psychiatric emergency room (PER) utilization. Results demonstrated that modality was not associated with PER utilization. Past-year PER visits, alcohol use disorder (AUD), and psychotic disorders were associated with PER utilization during Telehealth, while AUD was associated with Re-Entry PER utilization. Given the likelihood of virtual treatment in the future, frequent in-person visits may not be necessary for MOUD; however, individuals with comorbid AUD and psychotic disorders may need additional support to prevent emergency care.

Indexed as

Opioid-Related DisordersTelemedicineVeteransAdultEmergency Service, HospitalFemaleHumansMaleMiddle AgedPatient Acceptance of Health CareUnited StatesMOUDOpioid use DisorderTelemedicineTreatment Utilization

Identifiers

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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.