Evidence map›Paper›PMID 32302325›Full record

ArticlePloS one2020

Toward precision prescribing for methadone: Determinants of methadone deposition.

Andrew H Talal, Yuxin Ding, Charles S Venuto, Lindsay M Chakan, Anthony McLeod, Arpan Dharia, Gene D Morse, Lawrence S Brown, Marianthi Markatou, Evan D Kharasch

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Association ofBalkan journal of medical genetics : BJMG · 2025
    Article
  6. Influence ofLife (Basel, Switzerland) · 2023
    Article
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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

10 authors at 4 institutions in 1 country.

Andrew H TalalDivision of Gastroenterology, Hepatology and Nutrition, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States of America.ORCID 0000-0002-5565-7515
Yuxin DingDepartment of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, United States of America.
Charles S VenutoDepartment of Neurology, University of Rochester, Rochester, NY, United States of America.ORCID 0000-0002-2394-9513
Lindsay M ChakanDivision of Gastroenterology, Hepatology and Nutrition, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States of America.
Anthony McLeodSTART Treatment & Recovery Centers, Brooklyn, NY, United States of America.
Arpan DhariaDivision of Gastroenterology, Hepatology and Nutrition, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States of America.
Gene D MorseNYS Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, NY, United States of America.
Lawrence S BrownSTART Treatment & Recovery Centers, Brooklyn, NY, United States of America.
Marianthi MarkatouDepartment of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, United States of America.
Evan D KharaschDepartment of Anesthesiology, Duke University School of Medicine, Durham, NC, United States of America.
University at Buffalo, State University of New York · USStart Treatment & Recovery Centers · USDuke University · USUniversity of Rochester · US

Funding

Virology/Immunology CoreP30AI078498 · NIAID · UNIVERSITY OF ROCHESTER · PI DEWHURST, STEPHEN · 2008 to 2018
$14.6M
METHADONE AND HIV DRUG INTERACTIONSR01DA014211 · NIDA · WASHINGTON UNIVERSITY · PI KHARASCH, EVAN D. · 2001 to 2012
$4.8M
OPTIMIZING OUTPATIENT ANESTHESIA: IMPROVING ANALGESIA AND REDUCING OPIOID MISADVENTURER01DA042985 · NIDA · WASHINGTON UNIVERSITY · PI KHARASCH, EVAN D. · 2017 to 2021
$2.2M
Quantitative Pharmacology for Accelerating Drug Development for HIV/HCV Co-Infected PatientsK23AI108355 · NIAID · UNIVERSITY OF ROCHESTER · PI VENUTO, CHARLES STANLEY · 2015 to 2019
$720k
NIAID NIH HHS K23 AI108355NIAID NIH HHS P30 AI078498NIDA NIH HHS R01 DA014211NIDA NIH HHS R01 DA042985
6 · The paper itself

Abstract

backgroundDespite the World Health Organization listing methadone as an essential medication, effective dose selection is challenging, especially in racial and ethnic minority populations. Subtherapeutic doses can result in withdrawal symptoms while supratherapeutic doses can result in overdose and death. Although CYP3A4 was conventionally considered the principal methadone metabolizing enzyme, more recent data have identified CYP2B6 as the principal enzyme. CYP2B6 has ethnically-associated polymorphisms that affect the metabolic rate. Our objective was to investigate the effects of genetic and nongenetic factors on methadone metabolism.

methodsWe measured trough plasma methadone levels in 100 participants with opioid use disorder. We assessed methadone metabolism by calculating the metabolite ratio (major metabolite: 2-ethylidene-1,5-dimethyl-3,3-diphenylpyrrolidine [EDDP] divided by methadone concentration). We assessed hepatic fibrosis and steatosis by transient elastography and CYP2B6 alleles, principally responsible for methadone metabolism. Mixed effects models modeled the data in 97 participants.

resultsParticipants were largely male (58%), minority (61% African American) and non-Hispanic (68%). Forty percent were HCV mono-infected, 40% were uninfected, and 20% were HCV/HIV co-infected. Female sex had significant effects on (R)- and (S)-methadone metabolism (p = 0.016 and p = 0.044, respectively). CYP2B6 loss of function (LOF) alleles significantly affected (S)-methadone metabolism (p = 0.012). Body mass index (BMI) significantly affected (R)-methadone metabolism (p = 0.034). Methadone metabolism appeared to be lower in males, in individuals with LOF alleles, and elevated BMI.

conclusionsGenetic analysis, especially in minority populations, is essential to delivering individualized treatments. Although the principal methadone metabolizing enzyme remains controversial, our results suggest that sex, CYP2B6 genotype, and BMI should be incorporated into multivariate models to create methadone dosing algorithms. Methadone dosing algorithms should facilitate medication delivery, improve patient satisfaction, and diminish overdose potential.

Indexed as

AllelesAnalgesics, OpioidCross-Sectional StudiesCytochrome P-450 CYP2B6Cytochrome P-450 CYP3AEthnicityFemaleGenotypeHumansMaleMethadoneMiddle AgedMinority GroupsOpioid-Related DisordersPoint-of-Care SystemsPolymorphism, GeneticAnalgesics, OpioidCytochrome P-450 CYP2B6Cytochrome P-450 CYP3AMethadone

Identifiers

PMID32302325
PMCPMC7164646
OpenAlexW3016390381

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.