Evidence map›Paper›PMID 29969481›Full record

ArticlePloS one2018

Influence of social network on drug use among clients of methadone maintenance treatment centers in Kunming, China.

Ling Shen, Sawitri Assanangkornchai, Wei Liu, Le Cai, Fei Li, Songyuan Tang, Jiucheng Shen, Edward B McNeil, Virasakdi Chongsuvivatwong

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Individuals 45 Years and Older in Opioid Agonist Treatment: A Scoping Review.International journal of environmental research and public health · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Methadone Maintenance Treatment Discontinuation Among Young People who use Opioids in Vancouver, Canada.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2023
    Article
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  8. Observational
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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

9 authors at 3 institutions in 2 countries.

Ling ShenEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Sawitri AssanangkornchaiEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Wei LiuSchool of Public Health, Kunming Medical University, Kunming, China.
Le CaiSchool of Public Health, Kunming Medical University, Kunming, China.
Fei LiSchool of Basic Medical Science, Kunming Medical University, Kunming, China.
Songyuan TangSchool of Public Health, Kunming Medical University, Kunming, China.
Jiucheng ShenYunnan Institute for Drug Abuse, Xi Shan District, Kunming, China.
Edward B McNeilEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Virasakdi ChongsuvivatwongEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
Kunming Medical University · CNPrince of Songkla University · THYunnan Institute For Drug Abuse · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo examine drug use behavior of clients attending Methadone Maintenance Treatment (MMT) programs and its relationship with the clients' social network characteristics.

designCross-sectional study.

settingFour MMT clinics in Kunming, Yunnan province, China.

participants324 consecutive MMT clients. MEASUREMENTS: A structured, self-completed questionnaire on background characteristics and existing social network. Current drug use was assessed by urine test for opiate metabolites. ANALYSIS: The association between client's social network characteristics and their own current drug use behavior is analysed using multiple logistic regression adjusting for socio-demographic characteristics. Adjusted odds ratios (AOR) with 95% confidence intervals (CI) are obtained to give the strength of the associations.

findingsMMT clients were more likely to concurrently use heroin while attending MMT if their social network had any of the following characteristics: more than half of the members were older than them (AOR = 1.03, 95% CI = 1.00,1.06), any member had a high level of influence on them (AOR = 6.47, 95% CI = 2.86,14.65) and any member joined them in using drugs (AOR = 1.94, 95% CI = 1.04,3.63). Having a social network member who could provide emotional support (AOR = 0.11, 95% CI = 0.03,0.35), having a spouse and/or child in their social network (AOR = 0.44, 95% CI = 0.24,0.81) and having a social network member with a high level of closeness (AOR = 0.28, 95% CI = 0.09,0.90) were associated with a decreased odds of heroin use.

conclusionSocial networks who could provide MMT clients with emotional support and a close relationship were significant factors for reducing the risk of concurrent drug use among clients attending MMT clinics in Kunming, China. Behavioral interventions should address the role of family and social network members in providing support to these clients.

Indexed as

Social NetworkingAdultChinaCross-Sectional StudiesFemaleHeroinHumansMaleMethadoneMiddle AgedNarcoticsOpiate Substitution TreatmentOpioid-Related DisordersRisk FactorsTreatment Adherence and ComplianceHeroinMethadoneNarcotics

Identifiers

PMID29969481
PMCPMC6029801
OpenAlexW2810506961

What OpenQuestion holds

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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.