Evidence map›Paper›PMID 35881659›Full record

ArticleClinical pharmacology and therapeutics2022

Identifying Clinically Relevant Drug-Drug Interactions With Methadone and Buprenorphine: A Translational Approach to Signal Detection.

Todd A Miano, Lei Wang, Charles E Leonard, Colleen M Brensinger, Emily K Acton, Ghadeer K Dawwas, Warren B Bilker, Samantha E Soprano, Thanh Phuong Pham Nguyen, George Woody and 4 more

Open access · greenAbstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
3.6field-weighted citation impact, top 7% 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.

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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  15. Natural Products Inhibition of Cytochrome P450 2B6 Activity and Methadone Metabolism.Drug metabolism and disposition: the biological fate of chemicals · 2024
    Article
  16. 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

14 authors at 4 institutions in 1 country.

Todd A Miano *Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Lei Wang *Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.
Charles E LeonardCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-5092-9657
Colleen M BrensingerCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Emily K ActonCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-5150-5995
Ghadeer K DawwasCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-7982-7419
Warren B BilkerCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-2704-7525
Samantha E SopranoCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Thanh Phuong Pham NguyenCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-3589-764X
George WoodyDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Elmer YuDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Mark NeumanDepartment of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Lang Li *Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.
Sean Hennessy *Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-4726-9413
Center for Clinical Research (United States) · USUniversity of Pennsylvania · USThe Ohio State University · USTranslational Therapeutics (United States) · US

Funding

Clinical Importance of Drug-Drug InteractionsR01AG025152 · NIA · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN, LI, LANG · 2006 to 2021
$8.1M
Drug interactions involving psychoactive drugsR01AG060975 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Charles Edward Leonard · 2019 to 2026
$3.9M
Drug-Drug Interactions Involving Methadone and BuprenorphineR01DA048001 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN · 2019 to 2023
$2.9M
Acute Pain Management and Long-term Opioid Use after SurgeryR01DA042299 · NIDA · SUNNYBROOK RESEARCH INSTITUTE · PI NEUMAN, MARK DAVID, WUNSCH, HANNAH · 2017 to 2020
$2.0M
Drug-drug interactions and kidney disease in hospitalized patientsK08DK124658 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI MIANO, TODD ANTHONY · 2021 to 2025
$791k
NIA NIH HHS R01 AG025152NIA NIH HHS R01 AG060975NIDA NIH HHS R01 DA042299NIDA NIH HHS R01 DA048001NIDDK NIH HHS K08 DK124658
6 · The paper itself

Abstract

Methadone and buprenorphine have pharmacologic properties that are concerning for a high risk of drug-drug interactions (DDIs). We performed high-throughput screening for clinically relevant DDIs with methadone or buprenorphine by combining pharmacoepidemiologic and pharmacokinetic approaches. We conducted pharmacoepidemiologic screening via a series of self-controlled case series studies (SCCS) in Optum claims data from 2000 to 2019. We included persons 18 years or older who experienced an outcome of interest during target drug treatment. Exposures were all overlapping medications (i.e., the candidate precipitants) during target drug treatment. Outcomes were opioid overdose, non-overdose adverse effects, and cardiac arrest. We used conditional Poisson regression to calculate rate ratios, accounting for multiple comparisons with semi-Bayes shrinkage. We explored the impact of key study design choices in analyses that varied the exposure definitions of the target drugs and the candidate precipitant drugs. Pharmacokinetic screening was conducted by incorporating published data on CYP enzyme metabolism into an equation-based static model. In SCCS analysis, 1,432 events were included from 248,069 new users of methadone or buprenorphine. In the primary analysis, statistically significant DDIs included gabapentinoids with either methadone or buprenorphine; baclofen with methadone; and benzodiazepines with methadone. In sensitivity analysis, additional statistically significant DDIs included methocarbamol, quetiapine, or simvastatin with methadone. Pharmacokinetic screening identified two moderate-to-strong potential DDIs (clonidine and fluconazole with buprenorphine). The combination of clonidine and buprenorphine was also associated with a significantly increased risk of opioid overdose in pharmacoepidemiologic screening. These DDI signals may be the most important targets for future confirmation studies.

Indexed as

BuprenorphineMethocarbamolOpiate OverdoseOpioid-Related DisordersBaclofenBayes TheoremBenzodiazepinesClonidineDrug InteractionsFluconazoleHumansMethadoneOpiate Substitution TreatmentQuetiapine FumarateSimvastatinBaclofenBenzodiazepinesBuprenorphineClonidineFluconazoleMethadoneMethocarbamolQuetiapine FumarateSimvastatin

Identifiers

PMID35881659
PMCPMC10015595
OpenAlexW4288036749

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.