Evidence map›Paper›PMID 25919527›Full record

Trial reportJAMA2015

Emergency department-initiated buprenorphine/naloxone treatment for opioid dependence: a randomized clinical trial.

Gail D'Onofrio, Patrick G O'Connor, Michael V Pantalon, Marek C Chawarski, Susan H Busch, Patricia H Owens, Steven L Bernstein, David A Fiellin

4 registry-linked trialsOpen access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 475 papers.

0numbers the graph read from it
0cells of the map it votes in
475citing papers in PubMed
49.6field-weighted citation impact, top 1% of its field
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.

NCT00913770 nacompletednot on this map

Models of Screening, Brief Intervention With a Facilitated Referral to Treatment (SBIRT) for Opioid Patients in the Emergency Department

TypeinterventionalSponsorYale UniversityRan2008 to 2014Enrolled329ConditionsOpiate AddictionArmsBrief Negotiation Interview (BNI), Buprenorphine Initiation
NCT03023930 nacompletednot on this mapstarted 2017, after this paper: background citation

Opioid Use Disorder in the Emergency Department: Clinical Trials Network-0069

TypeinterventionalSponsorYale UniversityRan2017 to 2022Enrolled1,731ConditionsOpioid Use DisorderArmsStandard Dissemination Practice, Implementation Facilitation (IF)
NCT04253782 nacompletednot on this mapstarted 2020, after this paper: background citation

A Multi-Tiered Safety Net Following Naloxone Resuscitation From Opioid Overdose

TypeinterventionalSponsorYale UniversityRan2020 to 2022Enrolled81ConditionsOpioid-Use Disorder (OUD)ArmsTeam Intervention
NCT07466784 recruitingnot on this mapstarted 2025, after this paper: background citation

Optimizing Outcomes for Patients Presenting to Emergency Departments With Opioid Poisoning

Typeobservational_patient_registrySponsorUniversity of British ColumbiaRan2025 to 2030Enrolled7,200ConditionsOpioid Use Disorder, Opioid Abuse or Dependence, Opioid Withdrawal, Polysubstance Drug Use (Indiscriminate Drug Use)
3 · Its place in the literature

Who cites it

475 citing papers in PubMed, 890 citations in OpenAlex.

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  20. Buprenorphine initiation in fentanyl use: Practical strategies for family physicians.Canadian family physician Medecin de famille canadien · 2026
    Review

415 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Gail D'OnofrioDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut.
Patrick G O'ConnorDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Michael V PantalonDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut.
Marek C ChawarskiDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Susan H BuschYale School of Public Health, New Haven, Connecticut.
Patricia H OwensDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut.
Steven L BernsteinDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut.
David A FiellinDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut4Yale School of Public Health, New Haven, Connecticut.
Yale University · USYale New Haven Health System · US

Funding

Models of SBIRT for Opioid Dependent Patients in the Emergency DepartmentR01DA025991 · NIDA · YALE UNIVERSITY · PI D'ONOFRIO, GAIL, FIELLIN, DAVID · 2008 to 2012
$4.8M
NIDA NIH HHS 5R01DA025991NIDA NIH HHS R01 DA025991
6 · The paper itself

Abstract

importanceOpioid-dependent patients often use the emergency department (ED) for medical care.

objectiveTo test the efficacy of 3 interventions for opioid dependence: (1) screening and referral to treatment (referral); (2) screening, brief intervention, and facilitated referral to community-based treatment services (brief intervention); and (3) screening, brief intervention, ED-initiated treatment with buprenorphine/naloxone, and referral to primary care for 10-week follow-up (buprenorphine). DESIGN, SETTING, AND

participantsA randomized clinical trial involving 329 opioid-dependent patients who were treated at an urban teaching hospital ED from April 7, 2009, through June 25, 2013.

interventionsAfter screening, 104 patients were randomized to the referral group, 111 to the brief intervention group, and 114 to the buprenorphine treatment group. MAIN OUTCOMES AND MEASURES: Enrollment in and receiving addiction treatment 30 days after randomization was the primary outcome. Self-reported days of illicit opioid use, urine testing for illicit opioids, human immunodeficiency virus (HIV) risk, and use of addiction treatment services were the secondary outcomes.

resultsSeventy-eight percent of patients in the buprenorphine group (89 of 114 [95% CI, 70%-85%]) vs 37% in the referral group (38 of 102 [95% CI, 28%-47%]) and 45% in the brief intervention group (50 of 111 [95% CI, 36%-54%]) were engaged in addiction treatment on the 30th day after randomization (P < .001). The buprenorphine group reduced the number of days of illicit opioid use per week from 5.4 days (95% CI, 5.1-5.7) to 0.9 days (95% CI, 0.5-1.3) vs a reduction from 5.4 days (95% CI, 5.1-5.7) to 2.3 days (95% CI, 1.7-3.0) in the referral group and from 5.6 days (95% CI, 5.3-5.9) to 2.4 days (95% CI, 1.8-3.0) in the brief intervention group (P < .001 for both time and intervention effects; P = .02 for the interaction effect). The rates of urine samples that tested negative for opioids did not differ statistically across groups, with 53.8% (95% CI, 42%-65%) in the referral group, 42.9% (95% CI, 31%-55%) in the brief intervention group, and 57.6% (95% CI, 47%-68%) in the buprenorphine group (P = .17). There were no statistically significant differences in HIV risk across groups (P = .66). Eleven percent of patients in the buprenorphine group (95% CI, 6%-19%) used inpatient addiction treatment services, whereas 37% in the referral group (95% CI, 27%-48%) and 35% in the brief intervention group (95% CI, 25%-37%) used inpatient addiction treatment services (P < .001). CONCLUSIONS AND RELEVANCE: Among opioid-dependent patients, ED-initiated buprenorphine treatment vs brief intervention and referral significantly increased engagement in addiction treatment, reduced self-reported illicit opioid use, and decreased use of inpatient addiction treatment services but did not significantly decrease the rates of urine samples that tested positive for opioids or of HIV risk. These findings require replication in other centers before widespread adoption.

trial registrationclinicaltrials.gov Identifier: NCT00913770.

Indexed as

AdultBuprenorphineEmergency Service, HospitalFemaleHealth ServicesHIV InfectionsHospitals, TeachingHospitals, UrbanHumansMaleNaloxoneNarcotic AntagonistsOpioid-Related DisordersReferral and ConsultationRiskYoung AdultBuprenorphineNaloxoneNarcotic Antagonists

Identifiers

PMID25919527
PMCPMC4527523
OpenAlexW2158292788

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.