National Archive of Criminal Justice Data
This dataset is maintained and distributed by the National Archive of Criminal Justice Data (NACJD), the criminal justice archive within ICPSR. NACJD is primarily sponsored by three agencies within the U.S. Department of Justice: the Bureau of Justice Statistics, the National Institute of Justice, and the Office of Juvenile Justice and Delinquency Prevention.
Arrestee Drug Abuse Monitoring (ADAM) Program in the United States, 2003 (ICPSR 4020)
Principal Investigator(s): United States Department of Justice. National Institute of Justice
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 2003 up to four separate times (quarterly) during the year in 39 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. The ADAM program in 2003 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 male and female 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) for males, weights.
One or more files in this study are not available for download due to special restrictions ; consult the restrictions note to learn more. You can apply online for access to the data. A login is required to apply for access. (How to apply.)
Access to these data is restricted. Users interested in obtaining these data must complete a Restricted Data Use Agreement, specify the reasons for the request, and obtain IRB approval or notice of exemption for their research.
United States Department of Justice. National Institute of Justice. Arrestee Drug Abuse Monitoring (ADAM) Program in the United States, 2003. ICPSR04020-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2004. http://doi.org/10.3886/ICPSR04020.v1
Persistent URL: http://doi.org/10.3886/ICPSR04020.v1
This study was funded by:
- United States Department of Justice. Office of Justice Programs. National Institute of Justice (OJP-98-C-001)
Scope of Study
Subject Terms: ADAM/DUF Program, alcohol abuse, arrests, crime patterns, demographic characteristics, drug dependence, drug offenders, drug related crimes, drug testing, drug treatment, drug use, drugs, substance abuse, trends, urinalysis
Smallest Geographic Unit: ZIP code
Geographic Coverage: Alabama, Alaska, Albany (New York), Albuquerque, Anchorage, Arizona, Atlanta, Birmingham, Boston, California, Charlotte, Chicago, Cleveland, Colorado, Dallas, Denver, Des Moines, District of Columbia, Florida, Georgia, Hawaii, Honolulu, Houston, Illinois, Indiana, Indianapolis, Iowa, Las Vegas, Los Angeles, Louisiana, Massachusetts, Miami, Minneapolis, Minnesota, Nebraska, Nevada, New Mexico, New Orleans, New York (state), New York City, North Carolina, Ohio, Oklahoma, Oklahoma City, Omaha, Oregon, Pennsylvania, Philadelphia, Phoenix, Portland (Oregon), Rio Arriba, Sacramento, Salt Lake City, San Antonio, San Diego, San Jose, Seattle, Spokane, Tampa, Texas, Tucson, Tulsa, United States, Utah, Washington, Woodbury
Date of Collection:
Unit of Observation: Individual arrestees.
Universe: All persons arrested and booked on local and state charges (i.e., not federal and out-of-county charges) in any of the 39 ADAM catchment areas in the United States during 2003.
Data Types: administrative records data, clinical data, medical records, survey data
Data Collection Notes:
Unlike ADAM data in previous years, this data collection contains no juvenile data because the collection of juvenile data was discontinued in the second quarter of 2002.
Because of the above changes to the ADAM program, analysts must be careful when comparing previous DUF and ADAM data to the 2000, 2001, 2002, or 2003 data, especially for male arrestees.
Study Purpose: Beginning in 1996, the National Institute of Justice (NIJ) initiated a major redesign of its multisite drug-monitoring program, the Drug Use Forecasting (DUF) system (DRUG USE FORECASTING IN 24 CITIES IN THE UNITED STATES, 1987-1997 [ICPSR 9477]). The program was retitled Arrestee Drug Abuse Monitoring (ADAM). ADAM extended DUF in the number of sites and improved the quality and generalizability of the data. The redesign was implemented in the first quarter of 2000. The original goal remained the same -- to determine the extent of drug use in the booked arrestee population (that is, arrestees brought to fixed booking facilities where digital or ink fingerprinting and other processing took place) in a defined area at specified points each year. However, the redesigned sampling protocol and instrument extended ADAM's goals in the following ways: (1) to provide a suitable probability-based sample of jails and arrestees to support prevalence estimates of drug use and related behaviors in each ADAM site, (2) to provide accurate estimates with confidence intervals that permit tests of the significance of drug use trends, (3) to create a standardized dataset on arrestees in multiple jurisdictions to allow cross-site comparisons, (4) to expand the scope of DUF data to include other areas of concern (treatment history, dependency/abuse assessment, drug markets), (5) to provide a platform for distinguishing between arrest and drug use practices and for drawing inferences about the total population of hardcore or heavy drug users, including those not in the current ADAM sample, (6) to provide data for policy responses to substance abuse issues both locally and nationally, (7) to investigate drug markets or purchases, including data on characteristics of the market, conditions of purchase or exchange, and prices paid, (8) to assess risk of alcohol and/or drug dependency, and drug and mental health treatment experiences, and (9) to use common definitions and, where possible, identical questions and response categories to allow meaningful links between ADAM and other national data systems.
Study Design: The ADAM program in 2003 used an expanded adult instrument that was first implemented in 2000. This instrument was used in adult booking facilities for male (Part 1) and female (Part 2) arrestees. The ADAM program also continued to use probability-based sampling for the adult male population, a procedure initiated in 2000. Therefore, the adult male sample includes weights, generated through post-sampling stratification of the data. The shift to sampling of the adult male population in 2000 required that all sites move toward a common catchment area definition, generally a county. The 39 ADAM sites for the current year included Albany, New York (Capital Area), Albuquerque, New Mexico (Bernalillo County), Anchorage, Alaska (Anchorage Borough), Atlanta, Georgia (Atlanta), Birmingham, Alabama (Jefferson County), Boston, Massachusetts (Suffolk County), Charlotte, North Carolina (Charlotte Metro), Chicago, Illinois (Cook County), Cleveland, Ohio (Cuyahoga County), Dallas, Texas (Dallas County), Denver, Colorado (Denver County), Des Moines, Iowa (Polk County), Honolulu, Hawaii (Oahu), Houston, Texas (Harris County), Indianapolis, Indiana (Marion County), Las Vegas, Nevada (Clark County), Los Angeles, California (Pasadena County), Minneapolis, Minnesota (Hennepin County), Miami, Florida (Miami-Dade County), New Orleans, Louisiana (Orleans Parish), New York, New York (Manhattan Borough), Oklahoma City, Oklahoma (Oklahoma County), Omaha, Nebraska (Douglas County), Philadelphia, Pennsylvania (County of Philadelphia), Phoenix, Arizona (Maricopa County), Portland, Oregon (Multnomah County), Rio Arriba, New Mexico (Rio Arriba County), Sacramento, California (Sacramento County), Salt Lake City, Utah (Salt Lake County), San Antonio, Texas (Bexar County), San Diego, California (San Diego County), San Jose, California (Santa Clara County), Seattle, Washington (King County), Spokane, Washington (Spokane County), Tampa, Florida (Hillsborough and Pinellas Counties), Tucson, Arizona (Pima County), Tulsa, Oklahoma (Tulsa County), Washington, District of Columbia (Washington, DC), and Woodbury, Iowa (Woodbury County). The core instrument was supplemented by a facesheet, which was used to collect demographic and charge information from official records. Core instruments were used to collect self-report information from respondents. Instruments were administered to persons arrested and booked on local or state charges relevant to the jurisdiction (i.e., not federal or out-of-county charges) within the past 48 hours. Trained interviewers used a paper and pencil instrument in a face-to-face setting in a secure and reasonably private area of the booking facility. Interviews lasted a median of 17 minutes. Responses were recorded by the interviewer at the time of the interview. At the completion of the interview, the arrestee was asked to voluntarily provide a urine specimen. The adult male and female data reflect all the arrestees selected for an interview from the booking logs, including those for whom only facesheet information was collected. The final sample for each adult data file, however, is the subset of arrestees that accepted and completed an interview. An external lab used the Enzyme Multiplied Immunoassay Testing (EMIT) protocols to test for the presence of ten drugs or metabolites of the drug in the urine sample. All amphetamine positives were confirmed by gas chromatography/mass spectrometry (GC/MS) to determine whether methamphetamine was used. Local booking facilities provided a census of all adult males arrested in each facility collecting data for the time period of data collection in the target county. The census data are not in the public file but were used to develop sampling weights for the male data.
Sample: A probability sampling plan was used for adult male collection in all sites in 2003, which assured that the data truly represented the male arrestee population, not simply an unspecified proportion of that population. The goal of sampling was to represent with known probability the likelihood that a male arrestee was selected for an interview and to use that information to weight each sample case. Additionally, ADAM's goal was to represent all days of the week and all times of the day so as to avoid biasing the male sample against those types of arrests and arrestees who are brought in during the period interviewers were not collecting data (morning, after midnight, "slower" days of the week). The final sampling goal was to represent all the facilities in the target county -- small, large, suburban, urban, quick release, etc. -- again to represent all types of offenders arrested and booked on local and state charges within the past 48 hours. Each ADAM site adopted one of four designs for sampling jails. ADAM resource constraints, the number of jails in each county, and how male arrestees were processed through those jails dictated the resulting plan for each site. The single jail design applied to sites where all arrestees were booked into a single jail and were being held pending pretrial release or trial. In the single jail design, the site collected its entire male sample in the single booking facility in the county. For counties with a few booking facilities (typically six or fewer), a stratified jail design was used. ADAM interviewers sampled arrestees in each of those jails and were assigned to jails so that the site's male sample was distributed across all booking facilities in the county and was roughly proportionate to size based on bookings. For counties that had many jails, ADAM adopted a stratified cluster sample design through which facilities in the county were clustered by size into a small number of strata. The site's sample was distributed across one or two facilities in each cluster, proportionate to size. This design affords estimates for all jails even though only some jails were included in the sample. Finally, for situations in which a large number of jails quickly transfer a selected group of arrestees to a central holding facility, ADAM adopted a feeder jail design wherein interviewers sampled arrestees as they were booked into the central facility. Interviewees selected at the central facility represented arrestees at each of the "feeder" jails. However, only certain types of offender (typically those charged with serious crimes) were transferred. Therefore, interviewers also went to selected feeder jails to sample male arrestees who did not get transferred. ADAM created a process to sample male arrestees within a jail that were booked at any time of the day or any day of the week with a known probability of selection by splitting the booked population into two parts. The stock comprised males who had been booked before the interviewer arrived at the jail. Interviews were, in general, conducted from 4 p.m. to midnight. The flow comprised males who were booked while the interviewer was stationed at the jail. Flow data collection began the moment the data collection team entered a facility and represented the period of the day when bookings were at the highest point. Cases were selected throughout the period as they were available from booking, with the interviewer selecting the case booked closest to when his/her previous interview was completed. This method ensured that the interviews moved throughout the shift and thus represented the full time period. For the same reason, when an interview target number was reached before the end of the shift, interviewing continued until the time period was over. Flow cases were selected from booking log or records data maintained by law enforcement in the facility. The booking log was also the source of the stock sampling. The interviewers in this case arrayed the male arrestees listed as booked during the non-interview times chronologically and took cases on an interval determined by the target number of stock cases for that day. Facesheets were filled out for all males who would be in the sample regardless of whether they were eventually interviewed. Arrestees selected in the sampling were not always still in the facility, making those remaining a potential biased estimate of the true male population characteristics. This bias was addressed in ADAM through weighting of cases. A convenience sample was used when collecting data from the adult female (32 sites) population. The sample of sites was not a probability-based sample. In other words, both DUF and the subsequent ADAM sites were not sampled from a list of counties in the United States. They were selected through applications of sites that were interested in participating.
A double-sided facesheet was used to collect information from administrative records on all adult arrestees selected for an interview. The ADAM adult interview instrument was used to record information from voluntary, anonymous, and confidential interviews with all male and female adult arrestees in the sample available for an interview within 48 hours of the time of arrest. Urine tests were used to collect clinical records data in order to detect the presence of several drugs in specimens provided by the interviewee at the conclusion of the interview.
Description of Variables: For the adult data (male and female, Parts 1 and 2), variables from the facesheet include arrest precinct, ZIP code of arrest location, ZIP code of respondent's address, respondent's gender and race, three most serious arrest charges, sample source (stock, flow, other), interview status (including reason an individual selected in the sample was not interviewed), language of instrument used, and the number of hours since arrest. Demographic information from the core instrument include respondent's age, ethnicity, residency, education, employment, health insurance coverage, marital status, and telephone access. Variables from the calendar provide information on inpatient and outpatient substance abuse treatment, inpatient mental health treatment, arrests and incarcerations, heavy alcohol use, use of marijuana, crack/rock cocaine, powder cocaine, heroin, methamphetamine, and other drug (ever and previous 12 months), age of first use of the above six drugs and heavy alcohol use, drug dependency in the previous 12 months, characteristics of drug transactions in past 30 days, use of marijuana, crack/rock cocaine, powder cocaine, heroin, and methamphetamine in past 30 days, 7 days, and 72 hours, heavy alcohol use in past 30 days, and secondary drug use of 15 other drugs in the past 72 hours. Urine test results are provided for 11 drugs -- alcohol, marijuana, cocaine, opiates, phencyclidine (PCP), benzodiazepines (Valium), propoxyphene (Darvon), methadone, barbiturates, amphetamines, and methamphetamine. The files also include several derived variables. The male data also include four sampling weights, and stratum IDs and percents.
Response Rates: Among the ADAM-eligible male arrestees randomly selected for interview, 56.7 percent agreed to an interview, 11.7 percent declined, 31.4 percent were not available to be interviewed at the same time of selection due to prior release from custody, court appearance, or other logistical reasons, and 0.3 percent were available but not approached. Of the male arrestees who were interviewed, 91.4 percent provided a urine sample. Among eligible female arrestees selected for interview on a convenience basis, 59.2 percent agreed to be interviewed, 10.4 percent declined, and 30.4 percent were not available. Of the female arrestees who were interviewed, 93.1 percent provided a urine specimen.
Presence of Common Scales: None.
Extent of Processing: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:
- Checked for undocumented or out-of-range codes.
Original ICPSR Release: 2004-09-02
- 2006-03-30 File UG4020.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.
- 2006-03-30 File CQ4020.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.
- View publications for the study (~46)
- View publications for the series
Most Recent Publications
- Citations exports are provided above.
Export Study-level metadata (does not include variable-level metadata)
If you're looking for collection-level metadata rather than an individual metadata record, please visit our Metadata Records page.