Evidence map›Paper›PMID 27649265›Full record

ArticleJournal of addiction medicine

Sex Differences in Methamphetamine Use and Dependence in a Thai Treatment Center.

Teerayuth Rungnirundorn, Viroj Verachai, Joel Gelernter, Robert T Malison, Rasmon Kalayasiri

Open access · greenAbstract read
In one paragraph

Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 37 citations in OpenAlex.

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  10. Leukocyte telomere length is not shortened in methamphetamine dependence or methamphetamine-induced psychosis but is increased following traumatic events.The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry · 2022
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  20. A Spontaneous Mutation inFrontiers in pharmacology · 2017
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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

5 authors at 1 institution in 1 country.

Teerayuth RungnirundornDepartment of Psychiatry (TR, RK), King Chulalongkorn Memorial Hospital; Department of Psychiatry (TR, RK), Faculty of Medicine, Chulalongkorn University, Bangkok; Princess Mother National Institute on Drug Abuse and Treatment (Thanyarak Institute) (VV), Thailand Ministry of Public Health, Pathumthani, Thailand; and Department of Psychiatry (JG, RTM), Yale School of Medicine, New Haven, CT.
Viroj Verachai
Joel Gelernter
Robert T Malison
Rasmon Kalayasiri
King Chulalongkorn Memorial Hospital · TH

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Drug Dependence Through the Lifespan: US-Thai Training ProgramD43TW009087 · FIC · YALE UNIVERSITY · PI GELERNTER, JOEL, MALISON, ROBERT T · 2011 to 2015
$1.1M
FIC NIH HHS D43 TW009087NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

BACKGROUND AND

objectiveMales and females who use methamphetamine (MA) differ in sociodemographics, MA diagnoses, comorbidities, and brain activity. The objective of this study was to investigate sex differences in the characteristics of MA use and dependence in patients at a Thai substance treatment center.

methodsDemographic, MA use, and diagnostic data for 782 MA users were obtained by using the Semi-Structured Assessment for Drug Dependence and Alcoholism-Thai version. Categorical comparisons of males (n = 413, 53%) and females (n = 369, 47%) were made by chi-square test. Factors significantly differentiating men and women with respect to MA-dependence were identified by logistic regression analysis controlling for demographic, diagnostic, and MA use variables.

resultsMales admitted to residential drug treatment for MA use had an earlier age of onset for both MA use (17.7 ± 4.1 vs 19.7 ± 6.2 years; t = -5.3, P < 0.001) and dependence (20.4 ± 5.2 vs 22.2 ± 6.4 years; t = -3.6, P < 0.001). Females were more likely than males to be MA-dependent (79% vs 60%; χ1 = 33.7, P < 0.001), and to experience MA withdrawal (65.3% vs 48.9%; χ1 = 21.4, P < 0.001), withdrawal-related hypersomnia (77.2% vs 64.8%; χ1 = 14.5, P < 0.001), fatigue (77.5% vs 70.3%; χ1 = 5.2, P = 0.02), and psychomotor retardation (64.5% vs 57.0%; χ1 = 4.5, P = 0.03). Similarly, females had heavier (eg, largest daily amount [χ1 = 12.4, P < 0.001), more frequent (χ1 = 5.1, P = 0.02]) and greater lifetime episodes of MA use (χ1 = 24.1, P < 0.001) than males. After controlling for such variables by logistic regression, being female remained a significant factor influencing the occurrence of MA-dependence (odds ratio [OR] 2.7, 95% confidence interval [CI] 1.8-4.1, P < 0.001). Shared associated factors (or comorbidities) for MA-dependence in both sexes included nicotine dependence (in males: OR 4.1, 95% CI 2.4-7.0, P < 0.001; and in females: OR 2.4, 95% CI 1.3-4.4, P = 0.007), greater lifetime episodes of MA use (in males: OR 3.5, 95% CI 1.9-6.4, P < 0.001; and in females: OR 5.9, 95% CI 3.1-11.4, P < 0.001), and more frequent use (in males: OR 5.1, 95% CI 2.8-9.1, P < 0.001; and in females: OR 3.6, 95% CI 1.9-6.9, P < 0.001). Comorbid antisocial personality disorder predicted MA-dependence in males only (OR 3.7, 95% CI 1.6-8.6, P = 0.002).

conclusionsThe current study highlights both common (eg, nicotine dependence and severity of MA use) and sex-specific differences (eg, MA use/dependence characteristics and comorbidities), including sex itself, with respect to MA-dependence in a Thai treatment cohort.

Indexed as

AdultAge of OnsetAmphetamine-Related DisordersCentral Nervous System StimulantsComorbidityDisorders of Excessive SomnolenceFatigueFemaleHumansMaleMethamphetamineResidential TreatmentSex FactorsSubstance Withdrawal SyndromeThailandTobacco Use DisorderCentral Nervous System StimulantsMethamphetamine

Identifiers

PMID27649265
PMCPMC5291761
OpenAlexW2497561341

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.