Evidence map›Paper›PMID 31480739›Full record

ReviewInternational journal of molecular sciences2019

Opioid Addiction, Genetic Susceptibility, and Medical Treatments: A Review.

Shao-Cheng Wang, Yuan-Chuan Chen, Chun-Hung Lee, Ching-Ming Cheng

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
7.7field-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.

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

43 citing papers in PubMed, 133 citations in OpenAlex.

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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 4 institutions in 2 countries.

Shao-Cheng WangJianan Psychiatric Center, Ministry of Health and Welfare, Tainan 717, Taiwan. WShaocheng@gmail.com.ORCID 0000-0002-7009-5338
Yuan-Chuan ChenProgram in Comparative Biochemistry, University of California, Berkeley, CA 94720, USA.
Chun-Hung LeeJianan Psychiatric Center, Ministry of Health and Welfare, Tainan 717, Taiwan.
Ching-Ming ChengJianan Psychiatric Center, Ministry of Health and Welfare, Tainan 717, Taiwan.
Chest Hospital, Ministry of Health and Welfare · TWChung Hwa University of Medical Technology · TWJohns Hopkins University · USUniversity of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Opioid addiction is a chronic and complex disease characterized by relapse and remission. In the past decade, the opioid epidemic or opioid crisis in the United States has raised public awareness. Methadone, buprenorphine, and naloxone have proven their effectiveness in treating addicted individuals, and each of them has different effects on different opioid receptors. Classic and molecular genetic research has provided valuable information and revealed the possible mechanism of individual differences in vulnerability for opioid addiction. The polygenic risk score based on the results of a genome-wide association study (GWAS) may be a promising tool to evaluate the association between phenotypes and genetic markers across the entire genome. A novel gene editing approach, clustered, regularly-interspaced short palindromic repeats (CRISPR), has been widely used in basic research and potentially applied to human therapeutics such as mental illness; many applications against addiction based on CRISPR are currently under research, and some are successful in animal studies. In this article, we summarized the biological mechanisms of opioid addiction and medical treatments, and we reviewed articles about the genetics of opioid addiction, the promising approach to predict the risk of opioid addiction, and a novel gene editing approach. Further research on medical treatments based on individual vulnerability is needed.

Indexed as

Genetic Predisposition to DiseaseGene EditingGenetic TherapyHumansMultifactorial InheritanceOpioid-Related DisordersRisk FactorsbuprenorphineCRISPRGWASMedical treatmentmethadonenaloxoneopioid addictionopioid dependenceopioid receptorspolygenic risk score

Identifiers

PMID31480739
PMCPMC6747085
OpenAlexW2971173212

What OpenQuestion 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 OpenQuestion graph.