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National Household Survey on Drug Abuse, 1985

Version
v1
Resource Type
Dataset : survey data
Creator
  • United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse
Other Title
  • Version 1 (Subtitle)
Collective Title
  • National Survey on Drug Use and Health (NSDUH) Series
Publication Date
1997-05-16
Funding Reference
  • United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse
Language
English
Free Keywords
alcohol abuse; alcohol consumption; amphetamines; barbiturates; cocaine; drug abuse; drug use; drugs; hallucinogens; heroin; households; inhalants; marijuana; methamphetamine; prescription drugs; sedatives; smoking; stimulants; substance abuse; substance abuse treatment; tobacco use; tranquilizers; youths
Description
  • Abstract

    This series measures the prevalence and correlates of drug use in the United States. The surveys are designed to provide quarterly, as well as annual, estimates. Information is provided on the use of illicit drugs, alcohol, tobacco, and nonmedical use of prescription drugs among members of United States households aged 12 and older. Questions include age at first use as well as lifetime, annual, and past-month usage for the following drug classes: cannabis, cocaine, hallucinogens, heroin, inhalants, alcohol, tobacco, nonmedical use of prescription drugs including psychotherapeutics, and polysubstance use. Respondents were also asked about health conditions, substance abuse treatment history, problems resulting from their use of drugs, alcohol, and tobacco, their perceptions of the risks involved, and personal and family income sources and amounts. Demographic data include gender, race, age, ethnicity, marital status, motor vehicle use, educational level, job status, income level, veteran status, past and current household composition, and population density.
  • 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.; Standardized missing values.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes..
  • Table of Contents

    Datasets:

    • DS1: National Household Survey on Drug Abuse (NHSDA), 1985
Temporal Coverage
  • Time period: 1985
  • 1985-06 / 1985-12
    Collection date: 1985-06--1985-12
Geographic Coverage
  • United States
Sampled Universe
The civilian, noninstitutionalized population of the coterminous United States (Alaska and Hawaii excluded) aged 12 and older.
Sampling
Multistage area probability sample design involving four selection stages: (a) primary areas (e.g., counties), (b) area segments within primary areas (e.g., blocks or enumeration districts), (c) listing units within area segments, (d) sample households within listing units, from which one eligible resident (if any) was selected. The three race/ethnic groups were: whites/others, Blacks, and Hispanics. Minorities and younger household members were oversampled. The four age groups were: ages 12 to 17, 18 to 25, 26 to 34, and 35 and older. The probability of selection varied with the composition of the household for different age/ethnicity groups and with the number of residents within the selected age group.
Collection Mode
  • Data were collected by the Temple University Institute for Survey Research, Philadelphia, PA, under contract with the National Institute on Drug Abuse. The data and codebook were prepared for release by Research Triangle Institute, Research Triangle Park, NC, and the codebook was initially distributed by National Opinion Research Center, Chicago, IL, under contracts with the Substance Abuse and Mental Health Services Administration.

    For selected variables, statistical imputation was done following logical imputation to replace missing responses. These variables are identified in the codebook as "...LOGICALLY IMPUTED" and "...imputed" for the logical procedure or by the designation "IMPUTATION-REVISED" in the variable label when the statistical procedure was also performed. The names of statistically imputed variables begin with the letters "IR". For each imputation-revised variable there is a corresponding imputation indicator variable that indicates whether a case's value on the variable resulted from an interview response or was imputed by the hot-deck technique. Hot-deck imputation is described on pages 16-17 of the codebook.

    Sample weights were constructed following data collection to account for sample households and persons who were not at home or refused to participate. The household sampling weight is the product of four stagewise sampling weights, each of which is equal to the inverse of the selection probability for that stage. Two post-stratification adjustments were made to compensate for differential response rates across demographic subgroups and residual deviation of selected demographic characteristics of the sample from parameter data (based on the 1980 Census).

    To protect the confidentiality of respondents, all variables that could be used to identify individuals have been encrypted or collapsed in the public use file. These modifications should not affect analytic uses of the public use file.

    Revisions involving the editing of recency-of-use variables and removal of ineligible respondents were made to the original 1985 National Household Survey on Drug Abuse (NHSDA) data file to make it more comparable with later NHSDAs. This resulted in several differences between the original and public use files. Although differences in prevalence estimates are generally small, estimates contained in the National Institute on Drug Abuse publication, 1985 NHSDA MAIN FINDINGS, cannot be replicated using the public use file.

    For some drugs that have multiple names, questions regarding the use of that drug may be asked for each distinct name. For example, the use of methedrine and desoxyn are measured separately in this study even though they are both methamphetamine.

Note
2015-11-23 Covers for the PDF documentation were revised.2015-02-03 Created a separate Questionnaire PDF that was extracted from the Codebook PDF.2013-06-19 Updated variable-level ddi files released.2008-07-25 New files were added. These files included one or more of the following: Stata setup, SAS transport (CPORT), SPSS system, Stata system, SAS supplemental syntax, and Stata supplemental syntax files, and tab-delimited ASCII data file. Also the variable CASEID was added to the dataset. Some other minor edits were made to improve the data and documentation.1999-06-16 SAS and SPSS data definition statements have been updated to include value labels and missing values sections. Funding insitution(s): United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse (271-84-7301).
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
  • 6844 (Type: ICPSR Study Number)
Relations
  • Is previous version of
    DOI: 10.3886/ICPSR06844.v2
Publications
  • Prue, Bob. Prevalence of reported peyote use 1985-2010 effects of the American Indian Religious Freedom Act of 1994. American Journal on Addictions.23, (2), 156-161.2014.
    • ID: 10.1111/j.1521-0391.2013.12083.x (DOI)
  • Keyes, Katherine M., Miech, Richard. Age, period, and cohort effects in heavy episodic drinking in the US from 1985 to 2009. Drug and Alcohol Dependence.132, (1-2), 140-148.2013.
    • ID: 10.1016/j.drugalcdep.2013.01.019 (DOI)
  • Miech, Richard A., London, Andrew S., Wilmoth, Janet M., Koester, Stephen. The effects of the military's antidrug policies over the life course: The case of past-year hallucinogen use. Substance Use and Misuse.48, (10), 837-853.2013.
    • ID: 10.3109/10826084.2013.800120 (DOI)
  • Miech, Richard, Bohnert, Amy, Heard, Kennon, Boardman, Jason. Increasing use of nonmedical analgesics among younger cohorts in the United States: A birth cohort effect. Journal of Adolescent Health.52, (1), 35-41.2013.
    • ID: 10.1016/j.jadohealth.2012.07.016 (DOI)
  • Miech, Richard, Koester, Stephen. Trends in U.S., past-year marijuana use from 1985 to 2009: An age-period-cohort analysis. Drug and Alcohol Dependence.124, (3), 259-267.2012.
    • ID: 10.1016/j.drugalcdep.2012.01.020 (DOI)
  • Nguyen, Holly, Reuter, Peter. How risky is marijuana possession? Considering the role of age, race, and gender. Crime and Delinquency.58, (6), 879-910.2012.
    • ID: 10.1177/0011128712461122 (DOI)
  • Grucza, Richard A., Norberg, Karen E., Bierut, Laura J.. Binge drinking among youths and young adults in the United States: 1979-2006. Journal of the American Academy of Child and Adolescent Psychiatry.48, (7), 692-702.2009.
    • ID: 10.1097/CHI.0b013e3181a2b32f (DOI)
  • The White House. National Drug Control Strategy: Data Supplement 2009. NCJ 225448, Washington, DC: Office of National Drug Control Policy. 2009.
    • ID: http://www.whitehousedrugpolicy.gov/publications/policy/ndcs09/ndcs09_data_supl/09datasupplement.pdf (URL)
  • Thompson, Melissa, Petrovic, Milena. Gendered transitions: Within-person changes in employment, family, and illicit drug use. Journal of Research in Crime and Delinquency.46, (3), 377-408.2009.
    • ID: 10.1177/0022427809335172 (DOI)
  • Harder, Valerie S., Chilcoat, Howard D.. Cocaine use and educational achievement: Understanding a changing association over the past 2 decades. American Journal of Public Health.97, (10), 1790-1793.2007.
    • ID: 10.2105/AJPH.2006.091108 (DOI)
  • Sloboda, Zili. Chapter 12: Forging a relationship between drug abuse epidemiology and drug abuse prevention. Handbook of Drug Abuse Prevention: Theory, Science, and Practice.New York: Springer. 2006.
    • ID: 10.1007/0-387-35408-5_12 (DOI)
  • Substance Abuse and Mental Health Services Administration. National Survey on Drug Use and Health: Summary of Methodological Studies,1971-2005. Methodology Series M-6.SMA 06-4146, Rockville, MD: Office of Applied Studies. 2006.
    • ID: http://www.oas.samhsa.gov/methodsHY/NSmethods.pdf (URL)
  • Golub, Andrew, Johnson, Bruce D., Dunlap, Eloise. The growth in marijuana use among American youths during the 1990s and the extent of blunt smoking. Journal of Ethnicity in Substance Abuse.4, (3-4), 1-21.2005.
    • ID: 10.1300/J233v04n03_01 (DOI)
  • Office of National Drug Control Policy. The National Drug Control Strategy: Data Supplement. NCJ 213692, Washington, DC: Executive Office of the President of the United States. 2005.
    • ID: http://www.whitehousedrugpolicy.gov/publications/policy/ndcs06_data_supl/ (URL)
  • Braunschweig, Heidi Michelle. The aging of the 'baby boom' generation: The potential for increased alcohol use and the need for concern. Dissertation, Case Western Reserve University. 2004.
  • Faden, Vivian B., Fay, Michael P.. Trends in drinking among Americans age 18 and younger: 1975-2002. Alcoholism: Clinical and Experimental Research.28, (9), 1388-1395.2004.
    • ID: 10.1097/01.ALC.0000139820.04539.BD (DOI)
  • Golub, Andrew, Johnson, Bruce D.. Variation in youthful risks of progression from alcohol and tobacco to marijuana and to hard drugs across generations. American Journal of Public Health.91, (2), 225-232.2001.
    • ID: 10.2105/AJPH.91.2.225 (DOI)
  • Golub, Andrew L., Johnson, Bruce D., Labouvie, Erich. On correcting biases in self-reports of age at first substance use with repeated cross-section analysis. Journal of Quantitative Criminology.16, (1), 45-68.2000.
    • ID: 10.1023/A:1007573411129 (DOI)
  • Johnson, R.A., Gerstein, Dean R.. Age, period, and cohort effects in marijuana and alcohol incidence: United States females and males, 1961-1990. Substance Use and Misuse.35, (6-8), 925-948.2000.
    • ID: 10.3109/10826080009148427 (DOI)
  • Males, Mike. 'Kids and Guns': How Politicians, Experts, and the Press Fabricate Fear of Youth. Monroe, MN: Common Courage Press. 2000.
  • Van Etten, Michelle L., Anthony, James C.. Comparative epidemiology of initial drug opportunities and transitions to first use: Marijuana, cocaine, hallucinogens and heroin. Drug and Alcohol Dependence.54, (2), 117-125.1999.
    • ID: 10.1016/S0376-8716(98)00151-3 (DOI)
  • Van Etten, Michelle L., Neumark, Yehuda D., Anthony, James C.. Male-female differences in the earliest stages of drug involvement. Addiction.94, (9), 1413-1419.1999.
  • Johnson, Robert A., Gerstein, Dean R., Rasinski, Kenneth A.. Adjusting survey estimates for response bias: An application to trends in alcohol and marijuana use. Public Opinion Quarterly.62, (3), 354-377.1998.
    • ID: 10.1086/297850 (DOI)
  • Van Etten, Michelle L., Neumark, Yehuda D., Anthony, James C.. Initial opportunity to use marijuana and the transition to first use: United States, 1979-1994. Drug and Alcohol Dependence.49, (1), 1-7.1997.
    • ID: 10.1016/S0376-8716(97)00127-0 (DOI)
  • Pollay, Richard W., Siddarth, S., Siegel, Michael, Haddix, Anne, Merritt, R.K., Giovino, G.A., Eriksen, M.P.. The last straw? Cigarette advertising and realized market shares among youths and adults, 1979-1993. Journal of Marketing.60, (2), 1 -1996.
    • ID: http://www.jstor.org/stable/1251927 (URL)
  • Everingham, Susan M. Sohler, Rydell, C. Peter, Caulkins, Jonathan P.. Cocaine consumption in the United States: Estimating past trends and future scenarios. Socio-Economic Planning Sciences.29, (4), 305-314.1995.
    • ID: 10.1016/0038-0121(95)00018-6 (DOI)
  • Hawkins, J. David, Arthur, Michael W., Catalano, Richard F.. Preventing substance abuse. Building a Safer Society: Strategic Approaches to Crime Prevention. Crime and Justice: A Review of Research.Chicago, IL: University of Chicago Press. 1995.
  • Nelson, David E., Giovino, Gary A., Shopland, Donald R., Mowery, Paul D., Mills, Sherry L., Eriksen, Michael P.. Trends in cigarette smoking among US adolescents, 1974 through 1991. American Journal of Public Health.85, (1), 34-40.1995.
    • ID: 10.2105/AJPH.85.1.34 (DOI)
  • Robertson, Elizabeth B.. Trends in Drug Use: A Comparison of Metropolitan and Nonmetropolitan Areas of the United States from 1975 to 1991. Family Economics Review.7, (4), 2-10.1994.
  • Collier, Michael R.. A mathematical model of habituation and addiction. International Journal of the Addictions.28, (2), 175-185.1993.
  • Gfroerer, J.C., Brodsky, M.D.. Frequent cocaine users and their use of treatment. American Journal of Public Health.83, (8), 1149-1154.1993.
    • ID: 10.2105/AJPH.83.8.1149 (DOI)
  • Robbins, Cynthia A., Martin, Steven S.. Gender, Styles of Deviance, and Drinking Problems. Journal of Health and Social Behavior.34, (4), 302-321.1993.
    • ID: http://www.jstor.org/stable/2137369 (URL)
  • Leukefeld, Carl G., Clayton, Richard R., Myers, Jo A.. Rural drug and alcohol treatment. Drugs and Society.7, (1-2), 95-116.1992.
    • ID: 10.1300/J023v07n01_05 (DOI)
  • Bray, Robert M., Marsden, Mary E., Peterson, Michael R.. Standardized comparisons of the use of alcohol, drugs, and cigarettes among military personnel and civilians. American Journal of Public Health.81, (7), 865-869.1991.
    • ID: 10.2105/AJPH.81.7.865 (DOI)
  • Campa, Richard Douglas. The Epidemiology of Substance Use among Mexican-American, Puerto Rican, and Cuban-American Adolescents and Young Adults. Dissertation, Boston University. 1991.
  • Robbins, Cynthia A.. Social roles and alcohol abuse among older men and women. Family and Community Health.13, (4), 37-48.1991.
  • Roberts, Robert E., Holzer, Charles E., III. Depressive Symptoms Among Anglo, Black, and Hispanic Adolescents: A National Survey. International Sociological Association. 1990.
  • Sidney, Stephen. Evidence of discrepant data regarding trends in marijuana use and supply, 1985-1988. Journal of Psychoactive Drugs.22, (3), 319-324.1990.
    • ID: 10.1080/02791072.1990.10472555 (DOI)
  • Adams, Edgar H., Gfroerer, Joseph C., Rouse, Beatrice A.. Epidemiology of substance abuse including alcohol and cigarette smoking. Annals of the New York Academy of Sciences.562, 14-20.1989.
    • ID: 10.1111/j.1749-6632.1989.tb21003.x (DOI)
  • Robbins, Cynthia. Sex differences in psychosocial consequences of alcohol and drug abuse. Journal of Health and Social Behavior.30, (1), 117-130.1989.
    • ID: http://www.jstor.org/stable/2136917 (URL)
  • Voss, Harwin L.. Patterns of drug use: Data from the 1985 National Household Survey. Research Monograph Series.91, Bethesda, MD: National Institute on Drug Abuse. 1989.
  • Voss, Harwin L.. Patterns of drug use: Data from the 1985 National Household Survey. Drugs in the Workplace: Research and Evaluation Data.Washington, DC: National Institute on Drug Abuse. 1989.
  • (author unknown). National Household Survey on Drug Abuse: Main Findings 1985. (ADM) 88-1565, Rockville, MD: United States Department of Health and Human Services, Substance Abuse and Mental Health Services Administration. 1988.
  • Adams, Edgar H., Gfroerer, Joseph C.. Elevated risk of cocaine use in adults. Psychiatric Annals.18, (9), 523-527.1988.
  • Voss, H.L., Clayton, R.R.. Stages in involvement with drugs. Pediatrician.14, (1-2), 25-31.1987.
  • (author unknown). Highlights of the 1985 National Household Survey on Drug Abuse. Rockville, MD: National Institute on Drug Abuse. 1986.

Update Metadata: 2015-11-23 | Issue Number: 4 | Registration Date: 2015-06-30

United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse (1997): National Household Survey on Drug Abuse, 1985. Version 1. National Survey on Drug Use and Health (NSDUH) Series. Version: v1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR06844.v1