Evidence map›Paper›PMID 40043350›Full record

Observational studyDrug and alcohol dependence2025

Assessing inequities in buprenorphine treatment across the care cascade.

Alyssa S Tilhou, Sarah Gasman, Jiayi Wang, Katherine Standish, Laura F White, Ally Cogan, Morgan Devlin, Marc Larochelle, William G Adams

Abstract readObservational Study
In one paragraph

Observational study in Drug and alcohol dependence, 2025. 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. Article
  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

9 authors.

Alyssa S TilhouDepartment of Family Medicine, Boston Medical Center, USA; Department of Pediatrics, Boston Medical Center, USA. Electronic address: alyssatilhoumd@gmail.com.
Sarah GasmanDepartment of Pediatrics, Boston Medical Center, USA; Department of Pediatrics, Boston Medical Center, USA.
Jiayi WangDepartment of Medicine, Boston Medical Center, USA; Department of Pediatrics, Boston Medical Center, USA.
Katherine StandishDepartment of Family Medicine, Boston Medical Center, USA; Department of Pediatrics, Boston Medical Center, USA.
Laura F WhiteDepartment of Biostatistics, Boston University School of Public Health, USA; Department of Pediatrics, Boston Medical Center, USA.
Ally CoganDepartment of Medicine, Boston Medical Center, USA; Department of Pediatrics, Boston Medical Center, USA.
Morgan DevlinSargeant College of Health Sciences, Boston University, USA; Department of Pediatrics, Boston Medical Center, USA.
Marc LarochelleDepartment of Medicine, Boston Medical Center, USA; Department of Pediatrics, Boston Medical Center, USA.
William G AdamsDepartment of Pediatrics, Boston Medical Center, USA; Department of Pediatrics, Boston Medical Center, USA.

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
Impact of initial buprenorphine prescribing strategies on retention in care for patients with opioid use disorderK08DA058052 · NIDA · BOSTON MEDICAL CENTER · PI Alyssa Tilhou · 2023 to 2026
$749k
NCATS NIH HHS UL1 TR001430NIDA NIH HHS K08 DA058052
6 · The paper itself

Abstract

objectiveDescribe buprenorphine treatment gaps across the care cascade by race, ethnicity, age, sex and key clinical characteristics.

designObservational cohort study of new opioid use disorder (OUD) treatment episodes, 1/1/15-12/31/21

participantsIndividuals 16-89 years at Boston Medical Center and affiliated Boston-area clinics with OUD or buprenorphine prescription following 90-day washout MAIN OUTCOMES AND MEASURES: Buprenorphine initiation (by 14d), engagement (second prescription by 34d), and retention (continuous buprenorphine through 180d without >14d gap). Covariates: sex, race and ethnicity, age, past 12-month buprenorphine, past 12-month overdose, co-occurring substance use disorder (SUD) and psychiatric diagnosis.

results24,165 episodes (14,182 individuals) included the following characteristics: female (34.1 %); Black (21.5 %), Latino (16.2 %), White (59.2 %); 16-25 years (4.1 %), 65-89 years (4.9 %). Initiation, engagement and retention were low: 39.3 %, 19.3 %, and 12.4 %. In adjusted models, compared with males, females' lower probability of overall retention reflected lower engagement conditional on initiation (41 % vs. 53 %; OR:0.61, 95 %CI:0.56-0.67, p < 0.001). Black individuals' lower probability of retention overall reflected lower initiation than White individuals (28 % vs 44 %; OR:0.50, 95 %CI:0.46-0.55, p < 0.001). The retention disadvantage for younger and older groups reflected cascade-wide gaps. Lower overall retention associated with co-occurring SUDs reflected lower initiation (OUD only:46 %; OUD plus: alcohol:19 % OR:0.27, 95 %CI:0.21-0.34, p < 0.001; sedatives:21 %, OR:0.31, 95 %CI:0.20-0.49, p < 0.001; stimulants:25 %, OR:0.40, 95 %CI:0.33-0.48, p < 0.001; ≥3 SUDs:25 %, OR:0.40, 95 %CI:0.37-0.43, p < 0.001). CONCLUSIONS AND RELEVANCE: Inequities in buprenorphine use emerged across the care cascade with unique patterns by sociodemographic and clinical subgroup. Health systems aiming to reduce buprenorphine inequities should identify the optimal cascade step based on the population of interest.

Indexed as

BuprenorphineHealthcare DisparitiesNarcotic AntagonistsOpiate Substitution TreatmentOpioid-Related DisordersAdolescentAdultAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedYoung AdultBuprenorphineNarcotic AntagonistsCare cascadeHealth inequitiesMedications for opioid use disorderOpioid use disorder

Identifiers

PMID40043350
PMCPMC11934153

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.