Evidence map›Paper›PMID 34482033›Full record

ArticleDrug and alcohol dependence2021

Effect of HIV, antiretrovirals, and genetics on methadone pharmacokinetics: Results from the methadone antiretroviral pharmacokinetics study.

Gavin Bart, Le Minh Giang, Hoang Yen, James S Hodges, Richard C Brundage

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Guideline
  2. Article
  3. An Improved Technique for Genotyping theMethods and protocols · 2023
    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

5 authors at 3 institutions in 2 countries.

Gavin BartDepartment of Medicine, Hennepin Healthcare, 701 Park Avenue, Minneapolis, MN, 55415, USA. Electronic address: bartx005@umn.edu.
Le Minh GiangHanoi Medical University, 1 Ton That Tung, Hanoi, Viet Nam. Electronic address: leminhgiang@hmu.edu.vn.
Hoang YenHanoi Medical University, 1 Ton That Tung, Hanoi, Viet Nam. Electronic address: yenhoang@hmu.edu.vn.
James S HodgesDivision of Biostatistics, School of Public Health, University of Minnesota, 2221 University Avenue SE, Minneapolis, MN, 55414, USA. Electronic address: hodge003@umn.edu.
Richard C BrundageDepartment of Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, 417 Delaware Street SE, Minneapolis, MN, 55455, USA. Electronic address: brund001@umn.edu.
Hanoi Medical University · VNUniversity of Minnesota · USHennepin Healthcare Research Institute · US

Funding

Population Pharmacokinetics: Methadone-Antiretroviral Interactions in VietnamR01DA040510 · NIDA · HENNEPIN HEALTHCARE RESEARCH INSTITUTE · PI BART, GAVIN · 2015 to 2019
$1.8M
NIDA NIH HHS R01 DA040510
6 · The paper itself

Abstract

backgroundMethadone treatment of opioid use disorder in HIV-infected individuals is complicated by drug-drug interactions. Genetic and other cofactors further contribute to interindividual variability in methadone pharmacokinetics. We used population pharmacokinetics to estimate the effect of drug-drug interactions, genetics, and other cofactors on methadone pharmacokinetics in a methadone maintained population in Vietnam.

methodsPlasma R- and S-methadone levels were measured in 309 methadone maintained individuals just before and 2-5 h following methadone dosing. A linear one-compartment population pharmacokinetic model with first-order conditional estimation with interaction was used to evaluate methadone clearance (CL/F) and volume of distribution (V/F). The influence of covariates on parameter estimates was evaluated using stepwise covariate modeling. Covariates included HIV status, antiretroviral use (efavirenz or nevirapine), weight, BMI, age, methadone dose, and 8 single nucleotide polymorphisms in across the CYP2B6, ABCB1, and NR1I3 genes.

resultsTaking either efavirenz or nevirapine increased R-methadone CL/F 220%. Nevirapine and efavirenz increased S-methadone CL/F by 404% and 273%, respectively. Variants in NR1I3 increased R- and S-methadone CL/F by approximately 20% only in patients taking efavirenz. Different alleles in ABCB1 rs2032582 either increased or decreased R-methadone CL/F by 10%. The CYP 2B6*4 variant decreased S-methadone CL/F by 18%. HIV-infection increased R- and S-methadone CL/F and V/F by 24%-39%.

conclusionsThe HIV antiretrovirals nevirapine and efavirenz significantly increase methadone clearance. Variants inNR1I3 increased the effect of efavirenz on methadone clearance. Other variants affecting methadone CL/F were also confirmed. To our knowledge, this is the first report of HIV itself affecting methadone pharmacokinetics.

Indexed as

Anti-HIV AgentsHIV InfectionsAnti-Retroviral AgentsBenzoxazinesConstitutive Androstane ReceptorHumansMethadoneNevirapineAnti-HIV AgentsAnti-Retroviral AgentsBenzoxazinesConstitutive Androstane ReceptorMethadoneNevirapineNR1I3 protein, humanDrug-drug interactionsGeneticsHIVMethadonePharmacokinetics

Identifiers

PMID34482033
PMCPMC8767566
OpenAlexW3198038877

What Socratic 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 Socratic graph.