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Drug Abuse Treatment Outcome Study (DATOS), 1991-1994: [United States]

Version
v2
Resource Type
Dataset : clinical data, survey data
Creator
  • United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse
Other Title
  • Version 2 (Subtitle)
Publication Date
2000-05-01
Funding Reference
  • United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse
Language
English
Free Keywords
AIDS; criminal histories; demographic characteristics; drug abuse; drug treatment; HIV; mental health; physical condition; treatment outcome; treatment programs
Description
  • Abstract

    Drug-Abuse Treatment Outcomes Study (DATOS) is a prospective study designed to determine the outcomes of adult drug abuse treatment delivered in typical, stable, community-based programs and to provide comprehensive information on continuing and new questions about the effectiveness of drug abuse treatment for adults currently available in a variety of publicly funded and private programs. The study examined the role of treatment outcomes and program type, client characteristics (including dependence, treatment history, and physical and mental health comorbidities), treatment received (e.g., length and intensity of services provided), therapeutic approaches, provision of aftercare, and research on the components of effective treatment, including factors that engage and retain clients in programs. Four types of programs were included: outpatient methadone (OPM), short-term inpatient (STI), long-term residential (LTR), and outpatient drug-free (ODF). Respondents were sampled from among adults admitted to drug abuse treatment programs in 11 representative U.S. cities during 1991-1993. Clients entering treatment completed two comprehensive intake interviews (Intake 1 and Intake 2), approximately one week apart. This information is provided in Parts 1 and 2 of the data collection. These interviews were designed to obtain baseline data on drug use and other behaviors, as well as information on background and demographic characteristics, patterns of dependence, living situation and child custody status, education and training, income and expenditures, and HIV risk behaviors, along with assessments of dependence, mental health, physical health, and social functioning. Data on criminal justice status and criminal behavior are reported in Part 5, Illegal Activities Data, and are drawn from the Intake 1 interview. Data reflecting during-treatment progress, including service delivery and client satisfaction, were collected in the one-, three-, and six-month in-treatment interviews (Parts 3, 4, and 8). The 12-Month Post-Treatment Follow-Up Interview (Part 6) replicated many of the intake questions and focused on key behaviors in the year following treatment. Part 7 includes variables for time in treatment and interview availability indicators. The 12-Month Follow-Up Urine Result data (Part 9) provide the results from urine sample tests that were given to a sample of subjects at the time of the 12-Month Follow-Up Interview. Urine specimens were tested for eight categories of drugs (amphetamines, barbiturates, benzodiazepines, cannabinoids, cocaine metabolite, methaqualone, opiates, and phencyclidine). The drugs covered in the study were alcohol, tobacco, marijuana (hashish, THC), hallucinogens or psychedelics such as LSD, mescaline, and PCP, cocaine (including crack), heroin, narcotics or opiates such as morphine, codeine, Demerol, Dilaudid, and Talwin, downers or depressants such as sedatives, barbiturates, and tranquilizers, amphetamines or other stimulants such as speed or diet pills, and other drugs. Part 10 contains data for 1393 clients who were interviewed 5 years post treatment. This part contains many of the same types of questions asked during previous interviews.
  • Methods

    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: Performed consistency checks.; Created variable labels and/or value labels.; Standardized missing values.; Created online analysis version with question text.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes..
  • Table of Contents

    Datasets:

    • DS0: Study-Level Files
    • DS1: Intake 1 Data
    • DS2: Intake 2 Data
    • DS3: 1-Month Intreatment Data
    • DS4: 3-Month Intreatment Data
    • DS5: Illegal Activities Data
    • DS6: 12-Month Follow-Up Data
    • DS7: Time in Treatment and Interview Availability Indicators
    • DS8: 6-Month Intreatment Interview Data
    • DS9: 12-Month Follow-Up Urine Result Data
    • DS10: 5-Year Follow-Up Data
    • DS11: Merged Data Files for Online Analysis
Temporal Coverage
  • 1991 / 1999
    Time period: 1991--1999
  • 1991 / 1999
    Collection date: 1991--1999
Geographic Coverage
  • United States
Sampled Universe
Clients admitted to selected drug treatment programs in 1991-1993.
Sampling
A total of 96 treatment programs in 11 mid-size and large United States cities with well-established treatment systems participated in DATOS. Programs were purposively sampled to reflect typical clinical approaches across the four modalities: outpatient methadone, short-term inpatient, long-term residential, and outpatient drug-free. Geographic location, type of program, and representativeness of the program and its clients were considered in the three-level process of selecting cities, programs, and clients. Respondents were sampled from among those admitted to treatment in sampled facilities in 1991-1993. A total of 10,010 clients participated in the Intake 1 interview. Of those, 8,755 participated in the Intake 2 interview, 6,148 in the one-month intreatment interview, 3,180 in the three-month intreatment interview, and 2,966 in the 12-month follow-up. The sample for Intake 1 was 66 percent male, 47 percent African American, and 13 percent Hispanic, with a mean age of 33 years. However, these and other client characteristics varied across modalities, reflecting differing therapeutic and operational characteristics. For the 12-month follow-up sample, 4,229 of the eligible clients who completed the two-stage intake interviews were selected for follow-up using a stratified random design. Of these respondents, 74 percent (n = 3,147) were located, 70 percent (n = 2,966) were successfully interviewed, 1.5 percent (n = 64) were deceased, and 2.7 percent (n = 117) refused to participate. Gender, ethnicity, and average age were not significantly different between the intake and follow-up samples. A random 25 percent of the follow-up sample was selected for urine testing. Altogether, 770 of the respondents interviewed at follow-up were selected for urine testing. From this group, 621 urine samples were obtained. The remaining cases included refusals and situations in which it was impossible to obtain a urine sample. Altogether, 21 percent of the follow-up respondents had urine drug screening results.
Collection Mode
  • face-to-face interview

    Users are advised that the data are most appropriately analyzed by modality.

    The Intake 1 and Intake 2 data files contain several continuous variables that denote age at the time of a certain event. For some of these variables, dichotomous codes 1 and 95 were also used for "don't know but under 15" and "don't know but 15 or older," respectively. Code 1 was also used for actual responses of "1 year old." Because it is unlikely that these events occurred at age 1, the code 1 was changed to 94 ("1 or don't know but under 15") in order to make it clearer that this code denotes something other than age 1. Users are cautioned that this may have an effect on any analyses performed using these variables.

    DATOS is an ongoing collaborative research effort of the National Development and Research Institutes at North Carolina (NDRI), Texas Christian University, the University of California at Los Angeles, and NIDA. For additional information, see the DATOS Web site.

Note
2010-02-16 A new part (#10) was added to the data files. It is a 5 year post treatment follow-up.2007-11-28 The question text was updated to enhance the clarity of each question by adding in question stems and qualifying information. Also, minor typographical errors were corrected.2007-02-19 SAS transport (XPORT), SPSS portable, and Stata system files were added to Parts 1-4, 6, and 8. Some corrections were made to the codebooks.2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.2004-07-01 Three datasets were added to the study: Time in Treatment and Interview Availability Indicators (Part 7), 6-Month Intreatment Interview Data (Part 8), and 12-Month Follow-Up Urine Result Data (Part 9). Corresponding documentation was prepared for each. Funding insitution(s): United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse (U01-DA10377-3, 271-89-8233, N01DA-9-8233).
Availability
Delivery
This version of the study is no longer available on the web. If you need to acquire this version of the data, you have to contact ICPSR User Support (help@icpsr.umich.edu).
Alternative Identifiers
  • 2258 (Type: ICPSR Study Number)
Relations
  • Is previous version of
    DOI: 10.3886/ICPSR02258.v3
  • Is new version of
    DOI: 10.3886/ICPSR02258.v1
Publications
  • Blum, K., Schoenthaler, S.J., Oscar-Berman, M., Giordano, J., Madigan, M.A., Braverman, E.R., Han, D.. Drug abuse relapse rates linked to level of education: Can we repair hypodopaminergic-induced cognitive decline with nutrient therapy?. The Physician and Sportsmedicine.42, (2), 130-145.2014.
    • ID: 10.3810/psm.2014.05.2065 (DOI)
  • Duncan, Alexandra, Melnick, Gerald, Ahmed, Rashid, Furr-Holden, C. Debra. Posttreatment drug use abstinence: Does the majority program clientele matter?. Journal of Ethnicity in Substance Abuse.13, (3), 185-208.2014.
    • ID: 10.1080/15332640.2013.826159 (DOI)
  • Gamble, James. Substance Abuse Treatment: An Overview of 12-Step Efficacy. Thesis, California State University, Long Beach. 2014.
  • Bhati, Avinash, Crites, Erin L., Taxman, Faye S.. RNR simulation tool: A synthetic datasets and its uses for policy simulations. Simulation Strategies to Reduce Recidivism: A Synthetic Datasets and Its Uses for Policy Simulations.New York, NY: Springer. 2013.
    • ID: 10.1007/978-1-4614-6188-3_8 (DOI)
  • Patton, Rikki, Snyder, Anastasia, Glassman, Michael. Rethinking substance abuse treatment with sex workers: How does the capability approach inform practice?. Journal of Substance Abuse Treatment.45, (2), 196-205.2013.
    • ID: 10.1016/j.jsat.2013.01.013 (DOI)
  • Patton, Rikki Ann Garren. Exploring Sex Work through a Capability Lens: Does the Capability Approach Predict Sex Work Involvement among a Substance-Abusing Sample?. Dissertation, Ohio State University. 2012.
  • Zarkin, Gary A., Cowell, Alexander J., Hicks, Katherine A., Mills, Michael J., Belenko, Steven, Dunlap, Laura J., Houser, Kimberly A., Keyes, Vince. Benefits and costs of substance abuse treatment programs for state prison inmates: Results from a lifetime simulation model. Health Economics.21, (6), 633-652.2012.
    • ID: 10.1002/hec.1735 (DOI)
  • Abdel-Salam, Sami. Self-control as a Predictor of Retention in, and Recidivism, and Relapse Following Therapeutic Community Treatment for Drug-abusing Adolescents. Dissertation, Temple University. 2011.
  • Kyung, Minjung. A computational Bayesian method for estimating the number of knots in regression splines. Bayesian Analysis.63, (4), 793-828.2011.
    • ID: 10.1214/11-BA629 (DOI)
  • Monico, Laura B.. Situation Agency within Structure: The Influence of Autonomy and Opportunity Structure on Drug Users' Routes of Administration. Thesis, University of Delaware. 2011.
  • Bhati, Avinash Singh, Roman, John K.. Simulated evidence on the prospects of treating more drug-involved offenders. Journal of Experimental Criminology.6, (1), 1-113.2010.
    • ID: 10.1007/s11292-010-9088-2 (DOI)
  • Britton, Peter C., Conner, Kenneth R.. Suicide attempts within 12 months of treatment for substance use disorders. Suicide and Life-Threatening Behavior.40, (1), 14-21.2010.
    • ID: 10.1521/suli.2010.40.1.14 (DOI)
  • Britton, Peter C., Wines, James D., Jr., Conner, Kenneth R.. Non-fatal overdose in the 12 months following treatment for substance use disorders. Drug and Alcohol Dependence.107, (1), 51-55.2010.
    • ID: 10.1016/j.drugalcdep.2009.09.005 (DOI)
  • Fulcher, Gingi Maree. Motherhood and Motivation for Substance Abuse Treatment and Behavior Change. Dissertation, University of California, Berkeley. 2009.
  • Simpson, D. D., Flynn, P. M.. Drug Abuse Treatment Outcome Studies (DATOS): A national evaluation of treatment effectiveness. Encyclopedia of Substance Abuse Prevention, Treatment and Recovery.Thousand Oaks, CA: Sage Publishing. 2009.
  • Chu, Doris C., Sung, Hung-En. Racial differences in desistance from substance abuse: The impact of religious involvement on recovery. International Journal of Offender Therapy and Comparative Criminology.2008.
    • ID: 10.1177/0306624X08320207 (DOI)
  • De Leon, G., Melnick, G., Cleland, C.M.. Client matching: A severity-treatment intensity paradigm. Journal of Addictive Diseases.27, (3), 99-113.2008.
    • ID: 10.1080/10550880802122703 (DOI)
  • Griffin, Beth Ann, McCaffery, Daniel F., Morral, Andrew R.. An application of principal stratification to control for institutionalization at follow-up in studies of substance abuse treatment programs. Annals of Applied Statistics.2, (3), 1034-1055.2008.
    • ID: 10.1214/08-AOAS179 (DOI)
  • Melnick, Gerald, Wexler, Harry K., Cleland, Charles M.. Client consensus on beliefs about abstinence: Effects on substance abuse treatment outcomes. Drug and Alcohol Dependence.93, (1-2), 30-37.2008.
    • ID: 10.1016/j.drugalcdep.2007.08.014 (DOI)
  • Murphy, D.A., Brecht, M.L., Herbeck, D., Evans, E., Huang, D., Hser, Y.I.. Longitudinal HIV risk behavior among the Drug Abuse Treatment Outcome Studies (DATOS) adult sample. Evaluation Review.32, (1), 83-112.2008.
    • ID: 10.1177/0193841X07307411 (DOI)
  • Potter, Jennifer Sharpe, Prather, Kristi, Weiss, Roger D.. Physical pain and associated clinical characteristics in treatment-seeking patients in four substance use disorder treatment modalities. American Journal on Addictions.17, (2), 121-125.2008.
    • ID: 10.1080/10550490701862902 (DOI)
  • (author unknown). Drug Abuse: Research results from Catholic University update understanding of drug abuse. Drug Week.376 -2007.
  • McCamant, Lynn E., Zani, Brigid G., McFarland, Bentson H., Gabriel, Roy M.. Prospective validation of substance abuse severity measures from administrative data. Drug and Alcohol Dependence.86, (1), 37-45.2007.
    • ID: 10.1016/j.drugalcdep.2006.04.016 (DOI)
  • Shields, Joseph J., Broome, Kirk M., Delany, Peter J., Fletcher, Bennett W., Flynn, Patrick M.. Religion and substance abuse treatment: Individual and program effects. Journal for the Scientific Study of Religion.46, (3), 355-371.2007.
    • ID: 10.1111/j.1468-5906.2007.00363.x (DOI)
  • Agosti, V., Levin, F.R.. One-year follow-up study of suicide attempters treated for drug dependence. American Journal on Addictions.15, (4), 293-296.2006.
    • ID: 10.1080/10550490600754333 (DOI)
  • Kennedy, Kerry S.. Motivation in Substance Abuse Treatment: Assessing the Relationship between the Transtheoretical Model of Change, Self-Determination Theory, and Their Impact upon Treatment Outcomes. Dissertation, Ohio State University. 2006.
  • Simpson, D.Dwayne, Joe, George W., Broome, Kirk M.. A national 5-year follow-up of treatment outcomes for cocaine dependence. Archives of General Psychiatry.59, 538-544.2006.
    • ID: 10.1001/archpsyc.59.6.538 (DOI)
  • Boles, S.M., Joshi, V., Grella, Christine E., Wellisch, J.. Childhood sexual abuse patterns, psychosocial correlates, and treatment outcomes among adults in drug abuse treatment. Journal of Child Sexual Abuse.14, (1), 39-55.2005.
    • ID: 10.1300/J070v14n01_03 (DOI)
  • Brooks, J. Byron. The Effects of Early Negative Events on Self-esteem and Treatment Outcomes of Participants in a Drug Abuse Outcome Study. Dissertation, North Carolina State University. 2005.
  • Handelsman, Leonard, Stein, Judith A., Grella, Christine E.. Contrasting predictors of readiness for substance abuse treatment in adults and adolescents: A latent variable analysis of DATOS and DATOS-A participants. Drug and Alcohol Dependence.80, (1), 63-81.2005.
    • ID: 10.1016/j.drugalcdep.2005.03.022 (DOI)
  • Horton, A.M., Jr., Roberts, C.. Derived trail making test cutoffs and malingering among substance abusers. International Journal of Neuroscience.115, (7), 1083-1096.2005.
    • ID: 10.1080/00207450590897914 (DOI)
  • Wilke, D.J., Kamata, A., Cash, S.J.. Modeling treatment motivation in substance-abusing women with children. Child Abuse and Neglect.29, (11), 1313-1323.2005.
    • ID: 10.1016/j.chiabu.2005.05.002 (DOI)
  • Wilson, Maurice T., Atanda, Robert, Atkinson, Donna Durant, Mulvey, Kevin. Outcomes from the targeted capacity expansion (TCE) substance abuse treatment program. Evaluation and Program Planning.28, (3), 341-348.2005.
    • ID: 10.1016/j.evalprogplan.2005.04.014 (DOI)
  • Rao, Sandhya R., Broome, Kirk M., Simpson, D. Dwayne. Depression and hostility as predictors of long-term outcomes among opiate users. Addiction.99, (5), 579-589.2004.
    • ID: 10.1111/j.1360-0443.2004.00686.x (DOI)
  • Stoddard, Patricia Ann. Denial in Alcohol and Other Drug Dependency Treatment: Prevalence, Predictors, and Role in Treatment Compliance and Completion. Dissertation, Washington University. 2004.
  • Acharyya, Suddhasatta, Zhang, Heiping. Assessing sex differences on treatment effectiveness from the Drug Abuse Treatment Outcome Study (DATOS). American Journal of Drug and Alcohol Abuse.29, (2), 415-444.2003.
    • ID: 10.1081/ADA-120020524 (DOI)
  • Fletcher, Bennett W., Broome, Kirk M., Delany, Peter J., Shields, Joseph, Flynn, Patrick M.. Patient and program factors in obtaining supportive services in DATOS. Journal of Substance Abuse Treatment.25, (3), 165-175.2003.
    • ID: 10.1016/S0740-5472(03)00126-0 (DOI)
  • Flynn, P.M., Joe, G.W., Broome, K.M., Simpson, D.D., Brown, B.S.. Looking back on cocaine dependence: Reasons for recovery. Addictions.12, (5), 398-411.2003.
  • Flynn, P.M., Kristiansen, P.L., Porto, J.V., Rounds-Bryant, J.L.. Costs and benefits of methadone treatment in DATOS - Part 2: Gender differences for discharged and continuing patients. Journal of Maintenance in the Addictions.2, (1-2), 151-169.2003.
    • ID: 10.1300/J126v02n01_09 (DOI)
  • Flynn, P.M., Porto, J.V., Rounds-Bryant, J.L., Kristiansen, P.L.. Costs and benefits of methadone treatment in DATOS - Part 1: Discharged versus continuing patients. Journal of Maintenance in the Addictions.2, (1-2), 129-149.2003.
    • ID: 10.1300/J126v02n01_08 (DOI)
  • Flynn, Patrick M., Joe, George W., Broome, Kirk M., Simpson, D. Dwayne, Brown, Barry S.. Recovery from opioid addiction in DATOS. Journal of Substance Abuse Treatment.25, (3), 177-186.2003.
    • ID: 10.1016/S0740-5472(03)00125-9 (DOI)
  • Friedmann, Peter D., Lemon, Stephenie C., Anderson, Bradley J., Stein, Michael D.. Predictors of follow-up health status in the Drug Abuse Treatment Outcome Study (DATOS). Drug and Alcohol Dependence.69, (3), 243-251.2003.
    • ID: 10.1016/S0376-8716(02)00323-X (DOI)
  • Grella, Christine E., Hser, Yih-Ing, Hsieh, Shih-Chao. Predictors of drug treatment re-entry following relapse to cocaine use in DATOS. Journal of Substance Abuse Treatment.25, (3), 145-154.2003.
    • ID: 10.1016/S0740-5472(03)00128-4 (DOI)
  • Grella, Christine E., Joshi, Vandana, Hser, Yih-Ing. Followup of cocaine-dependent men and women with antisocial personality disorder. Journal of Substance Abuse Treatment.25, (3), 155-164.2003.
    • ID: 10.1016/S0740-5472(03)00127-2 (DOI)
  • Grella, Christine, Joshi, Vandana, Anglin, Douglas M.. Gender differences and treatment outcomes among methadone patients in the Drug Abuse Treatment Outcomes Study. Journal of Maintenance in the Addictions.2, (1/2), 103-127.2003.
    • ID: 10.1300/J126v02n01_07 (DOI)
  • Horton, Arthur MacNeill, Jr., Roberts, Charles. Depression and Trail Making test scores in a sample of cocaine abusers. International Journal of Neuroscience.113, (4), 595-604.2003.
    • ID: 10.1080/00207450390162317 (DOI)
  • Horton, Arthur MacNeill, Roberts, Charles. Demographic effects on the Trail Making Test in a drug abuse treatment sample. Archives of Clinical Neuropsychology.18, (1), 49-56.2003.
    • ID: 10.1016/S0887-6177(01)00183-4 (DOI)
  • Hubbard, Robert L., Craddock, S. Gail, Anderson, Jill. Overview of 5-year follow-up outcomes in the Drug Abuse Treatment Outcome Studies (DATOS). Journal of Substance Abuse Treatment.25, (3), 125-134.2003.
    • ID: 10.1016/S0740-5472(03)00130-2 (DOI)
  • Lemon, Stephenie C., Friedmann, Peter D., Stein, Michael D.. The impact of smoking cessation on drug abuse treatment outcome. Addictive Behaviors.28, (7), 1323-1331.2003.
    • ID: 10.1016/S0306-4603(02)00259-9 (DOI)
  • Roberts, Charles, Horton, Arthur MacNeill, Jr.. Anxiety and trail making test scores in a sample of cocaine abusers. International Journal of Neuroscience.113, (5), 747-757.2003.
    • ID: 10.1080/00207450390200062 (DOI)
  • Roberts, Charles, Horton, Arthur MacNeill, Jr.. Trail Making Test cut-offs for malingering among cocaine, heroin, and alcohol abusers. International Journal of Neuroscience.113, (2), 223-231.2003.
    • ID: 10.1080/00207450390162047 (DOI)
  • Simpson, D. Dwayne. Introduction to 5-year followup treatment outcome studies. Journal of Substance Abuse Treatment.25, (3), 123-124.2003.
    • ID: 10.1016/S0740-5472(03)00131-4 (DOI)
  • Stinchfield R., Winters, K.C.. Predicting adolescent drug abuse treatment outcome with the Personal Experience Inventory (PEI). Journal of Child and Adolescent Substance Abuse.13, (2), 103-220.2003.
    • ID: 10.1300/J029v13n02_05 (DOI)
  • Broome, Kirk M., Simpson, D.Dwayne, Joe, George W.. The role of social support following short-term inpatient treatment. American Journal on Addictions.11, (1), 57-65.2002.
    • ID: 10.1080/10550490252801648 (DOI)
  • Franey, Christine, Ashton, Mike. The grand design lessons from DATOS. Drug and Alcohol Findings.(7), 4-18.2002.
    • ID: http://www.datos.org/DATOS-FINDINGS.pdf (URL)
  • Greenfield, L., Burgdorf, K., Porowski, A., Roberts, T., Herrell, J.. Post-discharge abstinence rates for women with long-term residential treatment in three national studies: RWC/PPW, NTIES, and DATOS. Sixty-Fourth Annual Scientific Meeting of the College on Problems of Drug Dependence.Quebec City, Quebec, Canada. 2002.
  • Grella, Christine. Alcohol Use Outcomes Among Adolescents in DATOS. 25th Annual Scientific Meeting, Research Society on Alcoholism.San Francisco, CA. 2002.
    • ID: http://www.datos.org/presentations/PDF/02(06-CA)RSA-Grella.pdf (URL)
  • Horton, A.M., Roberts, C.. Derived trail making test indices in a sample of sedative abusers: Demographic effects. International Journal of Neuroscience.112, (8), 985-994.2002.
  • Horton, Arthur MacNeill, Jr., Roberts, Charles. Derived Trail Making Test indices in a sample of hallucinogen abusers: Demographic effects. International Journal of Neuroscience.112, (5), 565-573.2002.
    • ID: 10.1080/00207450290025653 (DOI)
  • Horton, Arthur MacNeill, Jr., Roberts, Charles. Derived Trail Making Test indices in a sample of heroin abusers: Demographic effects. International Journal of Neuroscience.112, (2), 225-234.2002.
    • ID: 10.1080/00207450212021 (DOI)
  • Horton, Arthur MacNeill, Jr., Roberts, Charles. Derived Trail Making Test indices in a sample of marijuana abusers: Demographic effects. International Journal of Neuroscience.112, (4), 429-438.2002.
    • ID: 10.1080/00207450290025563 (DOI)
  • Horton, Arthur MacNeill, Jr., Roberts, Charles. Derived Trail Making Test indices in a sample of narcotic/other opiate abusers: Demographic effects. International Journal of Neuroscience.112, (9), 1075-1084.2002.
    • ID: 10.1080/00207450290026067 (DOI)
  • Horton, Arthur MacNeill, Jr., Roberts, Charles. Trail Making Test and malingering among substance abusers. International Journal of Neuroscience.112, (12), 1489-1496.2002.
    • ID: 10.1080/00207450290158322 (DOI)
  • National Institute on Drug Abuse. Therapeutic Community: What Is Therapeutic Community?. NIDA Research Report Series.NIH Pub No. 02-4877, Bethesda, MD: United States Department of Health and Human Services, National Institutes of Health. 2002.
    • ID: http://www.drugabuse.gov/PDF/RRTherapeutic.pdf (URL)
  • Riehman, Kara S., Iguchia, Martin Y., Anglin, M. Douglas. Depressive Symptoms Among Amphetamine and Cocaine Users Before and After Substance Abuse Treatment. Psychology of Addictive Behaviors.16, (4), 333-337.2002.
    • ID: 10.1037/0893-164X.16.4.333 (DOI)
  • Roberts, C., Horton, A.M.. Derived Trail Making Test indices in alcohol abusers: Demographic effects. National Academy of Neuropsychology 22nd Annual Meeting.Miami, FL. 2002.
  • Roberts, Charles, Horton, Arthur MacNeill, Jr.. Derived Trail Making Test indices in a sample of alcohol abusers: Demographic effects. International Journal of Neuroscience.112, (3), 337-346.2002.
    • ID: 10.1080/00207450212031 (DOI)
  • Roberts, Charles, Horton, Arthur MacNeill, Jr.. Derived Trail Making Test indices in a sample of amphetamine abusers: Demographic effects. International Journal of Neuroscience.112, (5), 575-584.2002.
    • ID: 10.1080/00207450290025662 (DOI)
  • Schramka, Gregory D.. The relationship between client characteristics and retention in a metropolitan drug treatment center (DTC). Dissertation, Wisconsin School of Professional Psychology. 2002.
  • Farabee, David, Joshi, Vandana, Anglin, M. Douglas. Addiction careers and criminal specialization. Crime and Delinquency.47, (2), 196-220.2001.
    • ID: 10.1177/0011128701047002003 (DOI)
  • Flynn, P.M., Simpson, D.D., Anglin, M.D., Hubbard, R.L.. Comment on nonresponse and selection bias in treatment follow-up studies [Letter to the editor]. Substance Use and Misuse.36, (12), 1749-1751.2001.
    • ID: 10.1081/JA-100107577 (DOI)
  • Friedmann, P.D., Lemon, S.C., Stein, M.D., Etheridge, R.M., D'Aunno, T.A.. Linkage to medical services in the Drug Abuse Treatment Outcome Study. Medical Care.39, (3), 284-295.2001.
    • ID: 10.1097/00005650-200103000-00008 (DOI)
  • Friedmann, Peter D., Lemon, Stephenie C., Stein, Michael D.. Transportation and retention in outpatient drug abuse treatment programs. Journal of Substance Abuse Treatment.21, (2), 97-103.2001.
    • ID: 10.1016/S0740-5472(01)00185-4 (DOI)
  • Gerstein, Dean R., Johnson, Robert A.. In reply to Patrick M. Flynn and colleagues. Substance Use and Misuse.36, (12), 1753-1757.2001.
    • ID: 10.1081/JA-100107578 (DOI)
  • Grella, C.E., Hser, Y.I., Joshi, V., Rounds-Bryant, J.. Drug treatment outcomes for adolescents with comorbid mental and substance use disorders. Journal of Nervous and Mental Disease.189, (6), 384-392.2001.
    • ID: 10.1097/00005053-200106000-00006 (DOI)
  • Horton, A.M., Jr., Roberts, C.. Demographic effects on the Trail Making Test in narcotic/other opiate abusers. International Journal of Neuroscience.111, (1-2), 101-107.2001.
    • ID: 10.3109/00207450108986555 (DOI)
  • Horton, A.M., Roberts, C.. Demographic effects on the Trail Making Test in sedatives abusers. International Journal of Neuroscience.110, (3-4), 189-195.2001.
    • ID: 10.3109/00207450108986544 (DOI)
  • Horton, Arthur M., Roberts, Charles. Sex, ethnicity, age and education effects on the Trail Making test in a sample of cocaine abusers. International Journal of Neuroscience.108, (3-4), 281-290.2001.
    • ID: 10.3109/00207450108986518 (DOI)
  • Horton, Arthur MacNeill, Jr., Roberts, Charles. Demographic effects on the Trail Making Test in alcohol abusers. National Academy of Neuropsychology 21st Annual Meeting, October 31-November 3, 2001.San Francisco, CA. 2001.
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Update Metadata: 2015-08-05 | Issue Number: 3 | Registration Date: 2015-06-30

United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse (2000): Drug Abuse Treatment Outcome Study (DATOS), 1991-1994: [United States]. Version 2. Version: v2. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR02258.v2