Arrestee Drug Abuse Monitoring (ADAM) Program in the United States, 2001

The goal of the Arrestee Drug Abuse Monitoring (ADAM) Program is to determine the extent and correlates of illicit drug use in the population of booked arrestees in local areas. Data were collected in 2001 at four separate times (quarterly) during the year in 33 metropolitan areas in the United States. The ADAM program adopted a new instrument in 2000 in adult booking facilities for male (Part 1) and female (Part 2) arrestees. Data from arrestees in juvenile detention facilities (Part 3) continued to use the juvenile instrument from previous years, extending back through the DRUG USE FORECASTING series (ICPSR 9477). The ADAM program in 2001 also continued the use of probability-based sampling for male arrestees in adult facilities, which was initiated in 2000. Therefore, the male adult sample includes weights, generated through post-sampling stratification of the data. For the adult files, variables fell into one of eight categories: (1) demographic data on each arrestee, (2) ADAM facesheet (records-based) data, (3) data on disposition of the case, including accession to a verbal consent script, (4) calendar of admissions to substance abuse and mental health treatment programs, (5) data on alcohol and drug use, abuse, and dependence (6) drug acquisition data covering the five most commonly used illicit drugs, (7) urine test results, and (8) weights. The juvenile file contains demographic variables and arrestee's self-reported past and continued use of 15 drugs, as well as other drug-related behaviors.

被捕者药物滥用监测项目（Arrestee Drug Abuse Monitoring, ADAM）的研究目标为明确美国当地地区已登记被捕者群体中非法药物使用的现状及其关联因素。该项目于2001年在全美33个大都市区开展，全年分四次（按季度）收集数据。2000年起，成人拘留登记设施针对男性被捕者（第一部分）与女性被捕者（第二部分）启用了全新调研工具；青少年拘留设施中的被捕者数据（第三部分）则继续沿用往年的青少年专用调研工具，其数据可追溯至药物使用预测系列数据集（ICPSR 9477）。2001年的ADAM项目同时延续了2000年启动的、针对成人拘留登记设施中男性被捕者的概率抽样方案，因此成人男性样本包含通过数据抽样后分层处理生成的权重变量。成人数据集的变量可划分为八大类别：1. 每名被捕者的人口统计学信息；2. ADAM登记表（基于案卷记录）数据；3. 案件处置相关数据，包含口头同意脚本的获取情况；4. 药物滥用与心理健康治疗项目入院日历；5. 酒精与药物使用、滥用及依赖相关数据；6. 覆盖五种最常用非法药物的药物获取情况数据；7. 尿液检测结果；8. 权重变量。青少年数据集包含人口统计学变量，以及被捕者自我报告的过往及持续使用15种药物的情况，同时涵盖其他与药物相关的行为。