Evidence map›Paper›PMID 26692286›Full record

ArticleThe American journal on addictions2016

Searching for evidence of genetic mediation of opioid withdrawal by opioid receptor gene polymorphisms.

Jermaine D Jones, Rachel R Luba, Jonathan L Vogelman, Sandra D Comer

Open access · greenAbstract read
In one paragraph

Article in The American journal on addictions, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
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  4. Frontiers in pharmacology · 2025
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  12. Pharmacogenomics and personalized medicine · 2019
    Review
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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

4 authors at 1 institution in 1 country.

Jermaine D JonesDivision of Substance Abuse, New York Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, 1051 Riverside Drive, Unit 120, 10032, New York, New York.
Rachel R LubaDivision of Substance Abuse, New York Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, 1051 Riverside Drive, Unit 120, 10032, New York, New York.
Jonathan L VogelmanDivision of Substance Abuse, New York Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, 1051 Riverside Drive, Unit 120, 10032, New York, New York.
Sandra D ComerDivision of Substance Abuse, New York Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, 1051 Riverside Drive, Unit 120, 10032, New York, New York.
Columbia University · US

Funding

Training and Education CoreU54DA037842 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI LEVIN, FRANCES RUDNICK · 2014 to 2018
$14.3M
Prescription Opioid Effects in Drug and Non-drug AbusersR01DA016759 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI COMER, SANDRA D · 2003 to 2014
$5.0M
Contribution of Various Genetic Polymorphisms to Oxycodone's Abuse LiabilityK01DA030446 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI JONES, JERMAINE D · 2011 to 2015
$907k
NIDA NIH HHS DA016759NIDA NIH HHS DA030446NIDA NIH HHS DA037842NIDA NIH HHS K01 DA030446NIDA NIH HHS R01 DA016759NIDA NIH HHS U54 DA037842
6 · The paper itself

Abstract

backgroundPrevious research has identified many genetic polymorphisms that appear to mediate the effects of opioid drugs. However, the relationship between genetic polymorphisms and the severity of opioid withdrawal has not yet been characterized.

methodsData were collected from 48 daily heroin users who previously completed a standardized abstinence-induced or naloxone-precipitated withdrawal procedure to assess opioid dependence. The total withdrawal severity score (based on the COWS) from this procedure was correlated with genotype information for variants of OPRM1 (rs1799971; rs6848893), OPRD1 (rs10753331; rs2234918; rs581111; rs678849; rs1042114), and OPRK1 (rs6473797; rs963549). Genotype and other participant variables (age, race, sex, duration of drug use, concomitant drug use, route of opioid use) were used as predictors.

resultsOf these variables, those individually correlated with a p < .2 were entered into a multivariate regression in order to identify the most predictive model. Three polymorphisms were significantly associated with severity of abstinence-induced withdrawal (n = 19) in the bivariate analysis (R): OPRM1 rs6848893 (.45), OPRD1 rs10753331 (.03), and rs678849 (.08), but only the OPRM1 rs6848893 was retained in the multivariate model (p < .001). For participants who underwent naloxone-precipitated withdrawal (n = 29) only OPRK1 rs6473797 (-.23) was significant in the bivariate analysis, though not retained in the final model.

conclusionsThese data provide evidence for genetic modulation of opioid withdrawal severity, and suggest there may be qualitative differences between withdrawal resulting from abstinence and antagonist-precipitated withdrawal. SCIENTIFIC SIGNIFICANCE: This study demonstrates the importance and feasibility of incorporating genetic information into clinical addiction research.

Indexed as

Polymorphism, GeneticAdultAnimalsFemaleGenotypeHeroin DependenceHumansMaleMiddle AgedNaloxoneNarcotic AntagonistsOpioid-Related DisordersReceptors, Opioid, deltaReceptors, Opioid, kappaReceptors, Opioid, muSubstance Withdrawal SyndromeNaloxoneNarcotic AntagonistsOPRD1 protein, humanOPRK1 protein, humanOPRM1 protein, humanReceptors, Opioid, deltaReceptors, Opioid, kappaReceptors, Opioid, mu

Identifiers

PMID26692286
PMCPMC5444323
OpenAlexW2202197094

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.