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Development of an addiction index and delineation 15-year trends of illicit drugs from the Taiwan national drug enhancement database.

Authors
  • Lin, Chen1
  • Wong, Bo-Yu2
  • Lo, Men-Tzung3
  • Chiu, Yu-Chuan4
  • Lin, Yu-Hsuan5
  • 1 Department of Biomedical Sciences and Engineering, National Central University, Taoyuan City, Taiwan. Electronic address: [email protected] , (Taiwan)
  • 2 Institute of Population Health Sciences, National Health Research Institute, Miaoli, Taiwan. Electronic address: [email protected] , (Taiwan)
  • 3 Department of Biomedical Sciences and Engineering, National Central University, Taoyuan City, Taiwan. Electronic address: [email protected] , (Taiwan)
  • 4 Department of Psychiatry, MacKay Memorial Hospital, Taipei, Taiwan. Electronic address: [email protected] , (Taiwan)
  • 5 Institute of Population Health Sciences, National Health Research Institute, Miaoli, Taiwan; Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Taiwan University, Taipei, Taiwan; Institute of Health Behaviors and Community Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan. Electronic address: [email protected] , (Taiwan)
Type
Published Article
Journal
Journal of psychiatric research
Publication Date
Oct 21, 2019
Volume
120
Pages
131–136
Identifiers
DOI: 10.1016/j.jpsychires.2019.10.016
PMID: 31670261
Source
Medline
Language
English
License
Unknown

Abstract

Illicit drug use contributes to substantial morbidity and mortality. Drug scheduling, a legal measure in drug enforcement, is often structured as a hierarchy based on addiction tendency, abuse trends, and harm, but may lack data-driven evidence when classifying substances. Our study aims to measure addiction tendency and use trends based on real-world data. We used the open access database of National Police Agency, Ministry of the Interior in Taiwan and analyzed all daily criminal cases of illicit drugs from 2013 to 2017 and monthly illicit drug enforcement data from the same database from 2002 to 2017. We hypothesized that repeat and frequent use despite legal consequence may be a reflection of addictive behavior, and empirical mode decomposition was applied in analysis to calculate addiction tendency indices and intrinsic 15-year use trends. Our analysis showed heroin has the highest addiction index, followed by methamphetamine. 3,4-Methyl enedioxy methamphetamine, marijuana, and ketamine had lower addictive propensities. This result is consistent with most drug scheduling hierarchies. 15-year use trends of substances were consistent with previous epidemiological studies. Copyright © 2019 Elsevier Ltd. All rights reserved.

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