Evidence map›Paper›PMID 21689916›Full record

Trial reportThe International journal on drug policy2011

Predictors of incident and recurrent participation in the sale or delivery of drugs for profit amongst young methamphetamine users in Chiang Mai Province, Thailand, 2005-2006.

Amanda D Latimore, Abby Rudolph, Danielle German, Susan G Sherman, Bangorn Srirojn, Apinun Aramrattana, David D Celentano

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The International journal on drug policy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Factors Affecting the Product Life Cycle of Generic Medicines.Iranian journal of pharmaceutical research : IJPR · 2022
    Article
  2. 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

7 authors at 2 institutions in 2 countries.

Amanda D LatimoreDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD 21205, USA. alatimor@jhsph.edu
Abby Rudolph
Danielle German
Susan G Sherman
Bangorn Srirojn
Apinun Aramrattana
David D Celentano
Johns Hopkins University · USChiang Mai University · TH

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Reducing Youth Drug Related HIV/STD Risk in ThailandR01DA014702 · NIDA · JOHNS HOPKINS UNIVERSITY · PI CELENTANO, DAVID D. · 2001 to 2011
$5.9M
NIDA NIH HHS R01 DA014702NIDA NIH HHS R01 DA14702NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

backgroundDespite Thailand's war on drugs, methamphetamine ("yaba" in Thai) use and the drug economy both thrive. This analysis identifies predictors of incident and recurrent involvement in the sale or delivery of drugs for profit amongst young Thai yaba users.

methodsBetween April 2005 and June 2006, 983 yaba users, ages 18-25, were enrolled in a randomized behavioural intervention in Chiang Mai Province (415 index and 568 of their drug network members). Questionnaires administered at baseline, 3-, 6-, 9-, and 12-month follow-up visits assessed socio-demographic factors, current and prior drug use, social network characteristics, sexual risk behaviours and drug use norms. Exposures were lagged by three months (prior visit). Outcomes included incident and recurrent drug economy involvement. Generalized linear mixed models were fit using GLIMMIX (SASv9.1).

resultsIncident drug economy involvement was predicted by yaba use frequency (adjusted odds ratio [AOR]: 1.05; 95% confidence interval [CI]: 1.01, 1.10), recent incarceration (AOR: 2.37; 95% CI: 1.07, 5.25) and the proportion of yaba-using networks who quit recently (AOR: .34; 95% CI: .15, .78). Recurrent drug economy involvement was predicted by age (AOR: 0.81; 95% CI: 0.68, 0.96), frequency of yaba use (AOR: 1.06; 95% CI: 1.02, 1.09), drug economy involvement at the previous visit (AOR: 2.61; CI: 1.59, 4.28), incarceration in the prior three months (AOR: 2.29; 95% CI: 1.07, 4.86), and the proportion of yaba-users in his/her network who quit recently (AOR: .38; 95% CI: .20, .71).

conclusionIndividual drug use, drug use in social networks and recent incarceration were predictors of incident and recurrent involvement in the drug economy. These results suggest that interrupting drug use and/or minimizing the influence of drug-using networks may help prevent further involvement in the drug economy. The emergence of recent incarceration as a predictor for both models highlights the need for more appropriate drug rehabilitation programmes and demonstrates that continued criminalization of drug users may fuel Thailand's yaba epidemic.

Indexed as

MethamphetaminePeer GroupAdolescentAdultBehavior TherapyCrimeCriminalsFemaleHumansIllicit DrugsMaleModels, PsychologicalPatient SelectionPrisonersSeverity of Illness IndexSocial EnvironmentIllicit DrugsMethamphetamine

Identifiers

PMID21689916
PMCPMC3137701
OpenAlexW2073893505

What OpenQuestion holds

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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.