Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY, USA.
Int J Methods Psychiatr Res. 2017 Jun;26(2). doi: 10.1002/mpr.1513. Epub 2016 Jun 29.
Measured as elapsed time from first use to dependence syndrome onset, the estimated "induction interval" for cocaine is thought to be short relative to the cannabis interval, but little is known about risk of becoming dependent during first months after onset of use. Virtually all published estimates for this facet of drug dependence epidemiology are from life histories elicited years after first use. To improve estimation, we turn to new month-wise data from nationally representative samples of newly incident drug users identified via probability sampling and confidential computer-assisted self-interviews for the United States National Surveys on Drug Use and Health, 2004-2013. Standardized modules assessed first and most recent use, and dependence syndromes, for each drug subtype. A four-parameter Hill function depicts the drug dependence transition for subgroups defined by units of elapsed time from first to most recent use, with an expectation of greater cocaine dependence transitions for cocaine versus cannabis. This study's novel estimates for cocaine users one month after first use show 2-4% with cocaine dependence; 12-17% are dependent when use has persisted. Corresponding cannabis estimates are 0-1% after one month, but 10-23% when use persists. Duration or persistence of cannabis smoking beyond an initial interval of a few months of use seems to be a signal of noteworthy risk for, or co-occurrence of, rapid-onset cannabis dependence, not too distant from cocaine estimates, when we sort newly incident users into subgroups defined by elapsed time from first to most recent use. Copyright © 2016 John Wiley & Sons, Ltd.
以首次使用到依赖综合征发作的时间来衡量,可卡因的“诱导期”被认为相对大麻较短,但对于首次使用后几个月内出现依赖的风险知之甚少。实际上,药物依赖流行病学这一方面的几乎所有已发表的估计都是从首次使用多年后得出的生活史中得出的。为了改善估计,我们转向了新的按月数据,这些数据来自通过概率抽样和机密计算机辅助自我访谈确定的新发生的药物使用者的全国代表性样本,这些数据来自美国全国药物使用和健康调查,2004-2013 年。标准化模块评估了每种药物亚型的首次和最近使用情况以及依赖综合征。四参数 Hill 函数描绘了按首次到最近使用的时间单位定义的亚组的药物依赖转变,预计可卡因与大麻相比,可卡因的依赖转变更大。本研究对首次使用后一个月的可卡因使用者的新估计显示,有 2-4%的可卡因依赖者;12-17%的人在持续使用时依赖。相应的大麻估计值在一个月后为 0-1%,但在持续使用时为 10-23%。大麻使用持续时间或持久性超过使用的最初几个月的初始间隔,似乎是快速发作大麻依赖的显著风险信号,或者与可卡因估计值同时发生,当我们将新发生的使用者按首次到最近使用的时间流逝时间分组时。版权所有 © 2016 John Wiley & Sons, Ltd.