Evidence map›Paper›PMID 30577882›Full record

ArticleSubstance abuse treatment, prevention, and policy2018

Difference in long-term relapse rates between youths with ketamine use and those with stimulants use.

Liang-Jen Wang, Mei-Yen Chen, Chin-Yin Lin, Mian-Yoon Chong, Wen-Jiun Chou, Yu-Han You, Chih-Pu Tsai, Yi-Syuan Chen, Shing-Fang Lu

Open access · goldAbstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Why Do Adolescents Relapse? A Multicenter, Cross-sectional Study.Psychiatry and clinical psychopharmacology · 2023
    Article
  3. Brain tract structure predicts relapse to stimulant drug use.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  4. Article
  5. Article
  6. 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

9 authors at 2 institutions in 1 country.

Liang-Jen WangDepartment of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Mei-Yen ChenTaiwan Kaohsiung Juvenile and Family Court, Kaohsiung, Taiwan.
Chin-Yin LinTaiwan Kaohsiung Juvenile and Family Court, Kaohsiung, Taiwan.
Mian-Yoon ChongDepartment of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Wen-Jiun ChouDepartment of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Yu-Han YouDepartment of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Chih-Pu TsaiDepartment of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Yi-Syuan ChenDepartment of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Shing-Fang LuDepartment of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan. luhsingfang@gmail.com.
Kaohsiung Chang Gung Memorial Hospital · TWChang Gung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the relapse risk among different illicit drugs is vital for developing an adequate relapse prevention policy. Therefore, the current study aims to explore the potential difference in long-term relapse rates between youths who use ketamine and those who use stimulants (3,4-Methylenedioxymethamphetamine [MDMA] or methamphetamine).

methodsThe study's participants included 92 youths with ketamine use (ketamine group, mean age: 16.0 years) and 43 youths with MDMA/methamphetamine use (stimulants group, mean age: 16.1 years) that had undergone a family-oriented treatment program in a medical center in Taiwan. All participants were followed up for a maximum of 7 years in order to observe their long-term outcomes with regard to substance use relapse.

resultsDuring the follow-up period, compared to the 34.8% relapse rate in ketamine users, their counterparts who used MDMA or methamphetamine had a significantly higher relapse rate (60.5%, Adjusted HR = 1.86, 95%CI: 1.06-3.28, p = 0.032). Of the youths in the ketamine group that relapsed, 65.6% continued to use ketamine in their relapse event, while 34.4% switched to MDMA or methamphetamine. Among the relapsing youths in the stimulants group, 84.6% continued to use MDMA or methamphetamine in their relapse event, while 15.4% switched to ketamine (p = 0.042).

conclusionsCompared to adolescents who use ketamine, those using MDMA or methamphetamine had higher relapse rates and were more likely to use the same type of drug upon relapsing. These results can serve as a crucial reference for developing relapse prevention policies of illicit drugs for the youth population.

Indexed as

AdolescentCentral Nervous System StimulantsChildExcitatory Amino Acid AntagonistsFemaleHumansKetamineMaleMethamphetamineN-Methyl-3,4-methylenedioxyamphetamineRecurrenceRisk FactorsSubstance-Related DisordersTaiwanCentral Nervous System StimulantsExcitatory Amino Acid AntagonistsKetamineMethamphetamineN-Methyl-3,4-methylenedioxyamphetamineAdolescentsKetamineLongitudinal studyRelapseStimulantsSubstance abuse

Identifiers

PMID30577882
PMCPMC6303878
OpenAlexW2906444747

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.