Evidence map›Paper›PMID 41013782›Full record

ArticleAddiction science & clinical practice2025

Creation of a telehealth addiction consultation service at a rural hospital: a case study.

Rachel Katz, Tiarra Fisher, Talia Singer-Clark, William Soares Iii, Jane Carpenter, Nadia Schuessler, Henry Stadler, Andrea Sahovey, Ann Scheck McAlearney, Jeffrey H Samet and 1 more

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. 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

11 authors.

Rachel KatzIndependent Researcher, Greenfield, MA, USA.
Tiarra FisherThe Opioid Task Force of Franklin County and the North Quabbin Region, Franklin, USA.
Talia Singer-ClarkBoston Medical Center, Section of General Internal Medicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
William Soares IiiDepartment of Emergency Medicine, UMASS Chan Medical School, Baystate, USA.
Jane CarpenterBoston Medical Center, Section of General Internal Medicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Nadia SchuesslerBoston Medical Center, Section of General Internal Medicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Henry StadlerBoston Medical Center, Section of General Internal Medicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Andrea SahoveyBoston Medical Center, Section of General Internal Medicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Ann Scheck McAlearneyInstitute for Behavioral Medicine Research, The Ohio State University, Columbus, OH, USA.
Jeffrey H SametBoston Medical Center, Section of General Internal Medicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Avik ChatterjeeBoston Medical Center, Section of General Internal Medicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA. avik.chatterjee@bmc.org.ORCID 0000-0001-8437-6774

Funding

MassHEAL - Reducing overdose deaths by 40% (2019-2023)UM1DA049412 · NIDA · BOSTON MEDICAL CENTER · PI SAMET, JEFFREY H. · 2019 to 2023
$82.9M
NIDA NIH HHS UM1 DA049412NIH HHS UM1DA049412
6 · The paper itself

Abstract

backgroundRural communities face significant barriers to accessing substance use disorder (SUD) treatment, resulting in gaps in care and increased rates of opioid-related overdose deaths. Hospital-based Addiction Consult Services (ACS) improve outcomes for patients with SUD, but rural hospitals often lack these services. CASE PRESENTATION: The Community Addiction Consult (CAC) service was established at a rural hospital in western Massachusetts to address this gap. CAC was designed by a community coalition comprised of a diverse cross-section of the community in which the hospital is based, using opioid-overdose data from the region to inform their decisions. Using a telehealth model, the CAC provided evidence-based treatments to support hospital staff treating patients with opioid use disorder (OUD) or requiring addiction-related care. From April 2023 through December 2023, the CAC provided 36 consults, facilitating increased access to medications for opioid use disorder (MOUD), and enhancing provider confidence in treating people who use drugs (PWUD) and initiating MOUD. An average of 22 patients received MOUD as inpatients monthly, and 11 emergency department patients received MOUD monthly. The CAC team also implemented training sessions, and an anti-stigma campaign to familiarize hospital staff with harm reduction principles and person-centered care strategies to foster a more supportive treatment environment for PWUD.

conclusionsThe Community Addiction Consult service demonstrates the feasibility and efficacy of a telehealth Addiction Consult Service model. Paired with staff trainings, such a model can bridge the gaps in rural addiction care. By leveraging local expertise and data-driven approaches, this model offers a scalable, equitable solution to improving access to substance use disorder treatment in rural settings.

Indexed as

Hospitals, RuralOpioid-Related DisordersReferral and ConsultationTelemedicineAdultFemaleHealth Services AccessibilityHumansMaleMassachusettsMiddle AgedOpiate OverdoseOrganizational Case StudiesAddiction consult serviceMedications for opioid use disorderOpioidOverdoseRural

Identifiers

PMID41013782
PMCPMC12465738

What OpenQuestion holds

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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.