Evidence map›Paper›PMID 37579095›Full record

Trial reportJournal of addiction medicine

Inpatient Low-dose Transitions From Full Agonist Opioids Including Methadone Onto Long-acting Depot Buprenorphine: Case Series From a Multicenter Clinical Trial.

Nikhil Seval, Johnathan Nunez, Prerana Roth, Meredith Schade, Michelle Strong, Cynthia A Frank, Alain H Litwin, Frances R Levin, Kathleen T Brady, Edward V Nunes and 1 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

11 authors.

Nikhil SevalFrom the Yale AIDS Program, Section of Infectious Disease, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (CAF, SAS); Drexel University College of Medicine, Department of Medicine, Division of Infectious Diseases and HIV Medicine, Philadelphia, PA (NS); Division of Infectious Diseases and Epidemiology, Department of Medicine, Penn State Milton S. Hershey Medical Center, Penn State Hershey College of Medicine, Hershey, PA (JN, M Schade); Department of Internal Medicine, Addiction Medicine Center, Prisma Health, Greenville, SC (PR, M Strong, AHL); Department of Medicine, University of South Carolina School of Medicine-Greenville, Greenville, SC (AHL); Department of Psychiatry, Columbia University Irving Medical Center and New York State Psychiatric Institute, New York, NY (EVN, FRL); and Clinical Neuroscience Division, Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC (KTB).
Johnathan Nunez
Prerana Roth
Meredith Schade
Michelle Strong
Cynthia A Frank
Alain H Litwin
Frances R Levin
Kathleen T Brady
Edward V Nunes
Sandra A Springer

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
TRAINING IN THE PATHOGENESIS OF INFECTIOUS DISEASEST32AI007517 · NIAID · YALE UNIVERSITY · PI Jaimie Meyer, Albert C Shaw · 1997 to 2026
$6.1M
Ending HIV: Bringing Integrated Prevention and Treatment Services to People Who Use Drugs Where They LiveDP1DA056106 · NIDA · YALE UNIVERSITY · PI SANDRA Ann SPRINGER · 2022 to 2026
$6.0M
Coordinated medical treatment of opioid use disorder and infectious diseaseU01TR002763 · NCATS · YALE UNIVERSITY · PI BRADY, KATHLEEN T., LEVIN, FRANCES RUDNICK · 2019 to 2022
$5.4M
NCATS NIH HHS U01 TR002763NCATS NIH HHS UL1 TR001863NIAID NIH HHS T32 AI007517NIDA NIH HHS DP1 DA056106
6 · The paper itself

Abstract

objectivesPersons with opioid use disorder (OUD) suffer disproportionately from morbidity and mortality related to serious addiction-related infections requiring hospitalization. Long-acting buprenorphine (LAB) is an underused medication for OUD that may facilitate linkage to care and treatment retention when administered before hospital discharge. Transition onto buprenorphine in the inpatient setting is often complicated by pain, active infection management, potential surgical interventions, and risk of opioid withdrawal in transition from full agonists to a partial agonist.

methodsThe COMMIT Trial is a randomized controlled trial evaluating LAB administered by infectious disease physicians and hospitalists compared with treatment as usual for persons with OUD hospitalized with infections. We report a case series of participants on full agonist opioids including methadone who were transitioned to sublingual buprenorphine using low-dose ( microdosing ) strategies followed by LAB injection.

resultsSeven participants with current opioid use disorder and life-threatening infections, all with significant concurrent pain and many requiring surgical intervention, underwent low-dose transitions starting at buccal buprenorphine doses ranging from 225 μg to 300 μg 3 times a day on the first day. All were well tolerated with average time to LAB injection of 7.5 days (range, 5-10 days).

conclusionsInpatient low-dose buprenorphine transition from full agonist opioids including methadone onto LAB is feasible even in those with complex hospitalizations for concurrent infections and/or surgery. This strategy facilitates dosing of LAB before hospital discharge when risk of opioid relapse and overdose are significant.

Indexed as

BuprenorphineOpioid-Related DisordersAnalgesics, OpioidHumansInpatientsMethadoneOpiate Substitution TreatmentPainAnalgesics, OpioidBuprenorphineMethadone

Identifiers

PMID37579095
PMCPMC10368784

What OpenQuestion holds

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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.