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  3. Epidemiology and Preventive Medicine / 流行病學與預防醫學研究所
  4. Ketamine use among regular tobacco and alcohol users as revealed by respondent-driven sampling in Taipei: Prevalence, expectancy, and users' risky decision making
 
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Ketamine use among regular tobacco and alcohol users as revealed by respondent-driven sampling in Taipei: Prevalence, expectancy, and users' risky decision making

Journal
Journal of Food and Drug Analysis
Journal Volume
21
Journal Issue
4 SUPPL.
Pages
S102-S105
Date Issued
2013
Author(s)
WEI J. CHEN  
Ting T.-T.
Chang C.-M.
Liu Y.-C.
Chen C.-Y.
DOI
10.1016/j.jfda.2013.09.044
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897023039&doi=10.1016%2fj.jfda.2013.09.044&partnerID=40&md5=b5a25789ad94e85272c7cb0802748e28
https://scholars.lib.ntu.edu.tw/handle/123456789/609570
Abstract
The popularity of ketamine for recreational use among young people began to increase, particularly in Asia, in 2000. To gain more knowledge about the use of ketamine among high risk individuals, a respondent-driven sampling (RDS) was implemented among regular alcohol and tobacco users in the Taipei metropolitan area from 2007 to 2010. The sampling was initiated in three different settings (i.e., two in the community and one in a clinic) to recruit seed individuals. Each participant was asked to refer one to five friends known to be regular tobacco smokers and alcohol drinkers to participate in the present study. Incentives were offered differentially upon the completion of an interview and successful referral. Information pertaining to drug use experience was collected by an audio computer-assisted self-interview instrument. Software built for RDS analyses was used for data analyses. Of the 1,115 subjects recruited, about 11.7% of the RDS respondents reported ever having used ketamine. Positive expectancy of ketamine use was positively associated with ketamine use; in contrast, negative expectancy inversely associated with ketamine use. Decision-making characteristics as measured on the Iowa Gambling Task using reinforcement learning models revealed that ketamine users learned less from the most recent event than both tobacco- and drug-na?ve controls and regular tobacco and alcohol users. These findings about ketamine use among young people have implications for its prevention and intervention.
SDGs

[SDGs]SDG3

Publisher
Elsevier Taiwan LLC
Type
conference paper

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