在不同吸毒状态的停留时间:问题毒品和娱乐性毒品消费者的生活方式。

Alessia Mammone, Simona Iacobelli, Carla Rossi
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引用次数: 0

摘要

背景:阿片类药物、安非他明、可卡因和大麻(最常用和研究的非法药物)的使用具有隐秘性,因此无法准确估计有多少人使用它们以及使用的进一步重要方面。在药物使用的许多方面中,与不同使用者亚群的生活方式有关的特定药物使用状态的持续时间本身是有关药物使用流行率和发生率的估计和评价政策的重要组成部分。方法:对收集于意大利和不同欧盟国家的有关不同亚群吸毒者的若干行政数据库和调查进行分析,以估计特定吸毒状态的持续时间和典型吸毒生涯的阶段。结果:大麻是人们使用的第一种非法物质。发病年龄对应于青春期的开始,各种来源表明,男性比女性发病早。对于有问题的吸毒者来说,从大麻转向重毒品发生在相当短的时间内,从第一次使用大麻到第一次毒品交易的5-6年内。从不同数据源估计的潜伏期分布相当稳定,男性的潜伏期比女性长。结论:通过对多个数据源的比较分析,可以更全面地了解吸毒现场的不同亚群,并为了解和估计吸毒动态模型的参数提供了有趣的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Length of stay in different drug using states: lifestyles of problem and recreational drug consumers.

Background: The hidden nature of the use of opioids, amphetamines, cocaine, and cannabis (the most commonly used and studied illicit drugs) precludes the accurate estimation of how many people use them and further important aspects of the use. Among the many aspects of drug use, the permanence times in specific drug using states related to the lifestyles of the various sub populations of users are of interest, per se, as essential components of estimates relating prevalence and incidence of drug use and for evaluating policies.

Methods: Several administrative databases and surveys collected in Italy and in different EU countries concerning different sub-populations of drug users were analysed to estimate the permanence time in a specific drug using state and the stages of a typical drug-using career.

Results: Cannabis is mostly the first illegal substance used. The age at onset corresponds to the very beginning of adolescence and various sources indicate that this onset happens earlier for men than for women. For problematic drug users, the switch from cannabis to heavy drugs happens within a rather narrow period of time, within 5-6 years from the first use of cannabis, along with the first episode of drug dealing. The latency period distribution estimated from different data sources is quite stable, with men presenting longer latency periods than women.

Conclusions: The comparative analysis of several data sources allowed a more complete overview of the different subpopulations on the drug scene and provides interesting data to understand and to estimate parameters for dynamic models of drug use.

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