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National Survey on Drug Use and Health, 2009

Version
v5
Resource Type
Dataset : survey data
Creator
  • United States Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Office of Applied Studies
Other Title
  • Version 5 (Subtitle)
Collective Title
  • National Survey on Drug Use and Health (NSDUH) Series
Publication Date
2010-11-16
Funding Reference
  • United States Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Office of Applied Studies
Language
English
Free Keywords
addiction; alcohol; alcohol abuse; alcohol consumption; amphetamines; barbiturates; cocaine; controlled drugs; crack cocaine; demographic characteristics; depression (psychology); drinking behavior; drug abuse; drug dependence; drug treatment; drug use; drugs; employment; hallucinogens; health care; heroin; households; income; inhalants; marijuana; mental health; mental health services; methamphetamine; pregnancy; prescription drugs; sedatives; smoking; stimulants; substance abuse; substance abuse treatment; tobacco use; tranquilizers; youths
Description
  • Abstract

    The National Survey on Drug Use and Health (NSDUH) series (formerly titled National Household Survey on Drug Abuse) primarily 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, and tobacco among members of United States households aged 12 and older. Questions included age at first use as well as lifetime, annual, and past-month usage for the following drug classes: marijuana, cocaine (and crack), hallucinogens, heroin, inhalants, alcohol, tobacco, and nonmedical use of prescription drugs, including pain relievers, tranquilizers, stimulants, and sedatives. The survey covered substance abuse treatment history and perceived need for treatment, and included questions from the Diagnostic and Statistical Manual (DSM) of Mental Disorders that allow diagnostic criteria to be applied. The survey included questions concerning treatment for both substance abuse and mental health-related disorders. Respondents were also asked about personal and family income sources and amounts, health care access and coverage, illegal activities and arrest record, problems resulting from the use of drugs, and needle-sharing. Questions introduced in previous administrations were retained in the 2009 survey, including questions asked only of respondents aged 12 to 17. These "youth experiences" items covered a variety of topics, such as neighborhood environment, illegal activities, drug use by friends, social support, extracurricular activities, exposure to substance abuse prevention and education programs, and perceived adult attitudes toward drug use and activities such as school work. Several measures focused on prevention-related themes in this section. Also retained were questions on mental health and access to care, perceived risk of using drugs, perceived availability of drugs, driving and personal behavior, and cigar smoking. Questions on the tobacco brand used most often were introduced with the 1999 survey. For the 2008 survey, Adult mental health questions were added to measure symptoms of psychological distress in the worst period of distress that a person experienced in the past 30 days and suicidal ideation. In 2008, a split-sample design also was included to administer separate sets of questions (WHODAS vs. SDS) to assess impairment due to mental health problems. In the 2009 NSDUH, however, all of the adults in the sample received only the WHODAS questions. Background information includes gender, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition.
  • Methods

    Due to unequal selection probabilities at multiple stages of sample selection and various adjustments, such as those for nonresponse and post-stratification, the 2009 NSDUH sample design is not self-weighting. Analysts are advised to use the final sample weight when attempting to use the 2009 NSDUH data to draw inferences about the target population or any subdomains of the target population. All estimates published in SAMHSA reports (such as the results from the 2009 NSDUH) are weighted using the final analysis weight for the full sample (ANALWT). For the public use file, the corresponding final sample weight is denoted as ANALWT_C, with the "C" denoting confidentiality protection. This sample weight represents the total number of target population persons each record on the file represents. Note that the sum of ANALWT_C, over all records on the data file, represents an estimate of the total number of people in the target population. In the 2008 NSDUH's mental health module, the adult sample was split into a sample A who received the WHODAS questions LIREMEM through LIAD68 and a sample B who received the SDS questions MHAD66a through MHAD68. In the 2009 NSDUH, however, all of the adults in the sample received the WHODAS questions. Therefore, there is no need to have a separate adult mental health weight in the 2009 NSDUH because the person-level analysis weight can be used to produce the adult mental health estimates.
  • 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..
  • Methods

    Response Rates: Strategies for ensuring high rates of participation resulted in a weighted screening response rate of 88.4 percent and a weighted interview response rate for the CAI of 75.6 percent. (Note that these response rates reflect the original sample, not the subsampled data file referenced in this document.)
  • Table of Contents

    Datasets:

    • DS1: National Survey on Drug Use and Health, 2009
Temporal Coverage
  • Time period: 2009
  • Collection date: 2009
Geographic Coverage
  • United States
Sampled Universe
The civilian, noninstitutionalized population of the United States aged 12 and older, including residents of noninstitutional group quarters such as college dormitories, group homes, shelters, rooming houses, and civilians dwelling on military installations.
Sampling
A multistage area probability sample for each of the 50 states and the District of Columbia has been used since 1999. The 2005 NSDUH was the first survey in a coordinated five-year sample design. Although there is no overlap with the 1999-2004 samples, the coordinated design for 2005 through 2009 facilitated a 50 percent overlap in second-stage units (area segments [see below]) between each two successive years from 2005 through 2009. This design was intended to increase precision of estimates in year-to-year trend analyses because of the expected positive correlation resulting from the overlapping sample between successive survey years. The 2009 design allows for computation of estimates by state in all 50 states plus the District of Columbia. States may therefore be viewed as the first level of stratification as well as a reporting variable. Eight states, referred to as the large sample states, had a sample designed to yield 3,600 respondents per state for the 2009 survey. This sample size was considered adequate to support direct state estimates. The remaining 43 states (which include the District of Columbia) had a sample designed to yield 900 respondents per state in the 2009 survey. In these 43 states, adequate data were available to support reliable state estimates based on SAE methodology. Within each state, sampling strata called state sampling (SS) regions were formed. Based on a composite size measure, states were partitioned geographically into roughly equal-sized regions. In other words, regions were formed such that each area yielded, in expectation, roughly the same number of interviews during each data collection period. The eight large sample states were divided into 48 SS regions each. The remaining states were divided into 12 SS regions each. Therefore, the partitioning of the United States resulted in the formation of a total of 900 SS regions. Unlike the 1999 through 2004 surveys, the first stage of selection for the 2005 through 2009 NSDUHs was Census tracts. The first stage of selection began with the construction of an area sample frame that contained one record for each Census tract in the United States. If necessary, Census tracts were aggregated within SS regions until each tract had, at a minimum, 150 dwelling units in urban areas and 100 dwelling units in rural areas. These Census tracts served as the primary sampling units (PSUs) for the coordinated five-year sample. One area segment (one or more Census blocks) was selected within each sampled Census tract. In advance of the survey period, specially trained listers had visited each area segment and listed all addresses for housing units and eligible group quarters units in a prescribed order. Systematic sampling was used to select the allocated sample of addresses from each segment. Beginning in 2002, each respondent who completed a full interview was given a $30 cash payment as a token of appreciation for his or her time. To improve the precision of the estimates, the sample allocation process targeted five age groups: 12 to 17 years, 18 to 25 years, 26 to 34 years, 35 to 49 years, and 50 years or older. The size measures used in selecting the area segments were coordinated with the dwelling unit and person selection process so that a nearly self-weighting sample could be achieved in each of the five age groups. The achieved sample size for the 2009 survey was 68,007 persons. The public use file contains 55,772 records due to a subsampling step used in the disclosure protection procedures. A key step in the data processing procedures established the minimum item response requirements in order for cases to be retained for weighting and further analysis (i.e., "usable" cases). These requirements, as well as full sampling methodology, are detailed in the codebook.
Collection Mode
  • audio computer-assisted self interview (ACASI), computer-assisted personal interview (CAPI), computer-assisted self interview (CASI)

    Data were collected and prepared for release by Research Triangle Institute, Research Triangle Park, North Carolina.

    Since 1999, the survey sample has employed a 50-State design with an independent, multistage area probability sample for each of the 50 States and the District of Columbia.

    Prior to the 2002 survey, this series was titled National Household Surveys on Drug Abuse.

    Although the design of the 2009 survey is similar to the design of the 1999 through 2001 surveys, there are important methodological differences since 2002 that affect the 2009 estimates. Each NSDUH respondent since 2002 has been given an incentive payment of $30. This change resulted in an improvement in the survey response rate. In addition, in 2002 new population data from the 2000 decennial Census became available for use in NSDUH sample weighting procedures. Therefore the data from 2002 and later should not be compared with data collected in 2001 or earlier to assess changes over time.

    For selected variables, statistical imputation was performed following logical inference to replace missing responses. These variables are identified in the codebook as "...LOGICALLY ASSIGNED" 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, a corresponding imputation indicator variable indicates whether a case's value on the variable resulted from an interview response or was imputed. Missing values for some demographic variables were imputed by the unweighted hot-deck technique used in previous surveys. Beginning in 1999, imputation of missing values for most variables was accomplished using predictive mean neighborhoods (PMN), a new procedure developed specifically for this survey. Both the hot-deck and PMN imputation procedure are described in the codebook.

    To protect the privacy of respondents, all variables that could be used to identify individuals have been encrypted or collapsed in the public use file. To further ensure respondent confidentiality, the data producer used data substitution and deletion of state identifiers and a subsample of records in the creation of the public use file.

    Previously published estimates may not be exactly reproducible from the variables in the public use file due to the disclosure protection procedures that were implemented.

    The setup and dictionary files for Stata are designed to be compatible with StataSE, Version 8. This is a large data file requiring that approximately 400 megabytes of Random Access Memory be allocated to Stata. Operations within Stata, including conversion of the ASCII data to Stata format, are likely to be slow. Analysts may wish to download subsets of data from the SAMHDA Survey Documentation and Analysis (SDA) system for use with Stata.

    In the income section, which was interviewer-administered, a split-sample study had been embedded within the 2006 and 2007 surveys to compare a shorter version of the income questions with a longer set of questions that had been used in previous surveys. This shorter version was adopted for the 2008 NSDUH and will be used for future NSDUHs.

Note
2015-11-23 Covers for the PDF documentation were revised.2014-09-05 Changed the Stata system data file from version 13 to version 12 for compatibility on a wider range of systems. Updated codebook to include correct frequencies from the data.2014-06-24 Since the release of the previous version of the 2009 Public Use Data File and Codebook a number of variables have been added. Some of the additional variables are revised versions of previous variables and replace the ones removed from the data file.A model to predict adult mental illness was revised in the 2012 NSDUH to produce more accurate estimates. The mental illness variables included in the 2009 NSDUH data files are based on the revised 2012 model.One new geographic variable(PDEN00), has been added to the data file to replace the previous PDEN variable. In this case, the only difference is the variable name. The variable has been renamed to indicate which census data was used in its construction.2013-06-20 Recoded system missing data to a value of -9 to public use data files.2012-11-16 The 2009 NSDUH public-use data file has been updated to include 23 new variables related to drug usage and dependence. Please view Table 4 of the codebook for more information on these variables.2012-02-10 Recoded system missing data to a value of -9. Funding insitution(s): United States Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Office of Applied Studies (283-2004-00022).
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
  • 29621 (Type: ICPSR Study Number)
Relations
  • Is previous version of
    DOI: 10.3886/ICPSR29621.v6
  • Is new version of
    DOI: 10.3886/ICPSR29621.v4
Publications
  • Agaku, Israel T., Alpert, Hillel R.. Trends in annual sales and current use of cigarettes, cigars, roll-your-own tobacco, pipes, and smokeless tobacco among US adults, 2002-2012. Tobacco Control.2015.
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  • Ali, Mir M., Teich, Judith L., Mutter, Ryan. The role of perceived need and health insurance in substance use treatment: Implications for the Affordable Care Act. Journal of Substance Abuse Treatment.2015.
    • ID: 10.1016/j.jsat.2015.02.002 (DOI)
  • Arias, Devin, Becerra, Benjamin J., Becerra, Monideepa B.. Racial and ethnic differences in asthma and mental health among US adults: Results from the National Survey on Drug Use and Health. Journal of Asthma.2015.
    • ID: 10.3109/02770903.2015.1005843 (DOI)
  • Austic, E.A.. Peak ages of risk for starting nonmedical use of prescription stimulants. Drug and Alcohol Dependence.2015.
    • ID: 10.1016/j.drugalcdep.2015.03.034 (DOI)
  • Bush, D.M., Lipari, R.N.. Substance Use and Substance Use Disorder, by Industry. CBHSQ Report.Rockville, MD: Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality. 2015.
    • ID: http://www.samhsa.gov/data/sites/default/files/report_1959/ShortReport-1959.pdf (URL)
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    • ID: 10.1111/add.12628 (DOI)
  • Chen, Lian-Yu, Crum, R., Kaufmann, Christopher N., Martins, Silvia S., Strain, Eric C., Mojtabai, R.. Patterns of concurrent substance use among prescription stimulant misusers: Results from the National Survey on Drug Use and Health. Drug and Alcohol Dependence.146, e2452015.
    • ID: 10.1016/j.drugalcdep.2014.09.132 (DOI)
  • Choi, N.G., DiNitto, D.M., Marti, C.N.. Alcohol and other substance use, mental health treatment use, and perceived unmet treatment need: Comparison between baby boomers and older adults. American Journal on Addictions.2015.
    • ID: 10.1111/ajad.1222 (DOI)
  • Choi, N.G., DiNitto, D.M., Marti, C.N.. Older adults who are at risk of driving under the influence: A latent class analysis. Psychology of Addictive Behaviors.2015.
  • Choi, N.G., DiNitto, D.M., Marti, C.N.. Relationship between the types of insurance coverage and outpatient mental health treatment use among older adults. Journal of Applied Gerontology.2015.
  • Choi, Namkee G., DiNitto, Diana M., Marti, C. Nathan. Middle-aged and older adults who had serious suicidal thoughts: Who made suicide plans and nonfatal suicide attempts?. International Psychogeriatrics.27, (3), 491-500.2015.
    • ID: 10.1017/S1041610214002464 (DOI)
  • Collins, Catherine Fisher. Black Girls and Adolescents: Facing the Challenges. Santa Barbara, CA: Praeger . 2015.
  • DeLisi, Matt, Vaughn, Michael G., Salas-Wright, Christopher P., Jennings, Wesley G.. Drugged and dangerous: Prevalence and variants of substance use comorbidity among seriously violent offenders in the United States. Journal of Drug Issues.45, (3), 232-248.2015.
  • Dean, Danielle O., Cole, Veronica, Bauer, Daniel J.. Delineating prototypical patterns of substance use initiations over time. Addiction.110, (4), 585-594.2015.
    • ID: 10.1111/add.12816 (DOI)
  • Fairman, Brian J.. Cannabis problem experiences among users of the tobacco-cannabis combination known as blunts. Drug and Alcohol Dependence.150, 77-84.2015.
    • ID: 10.1016/j.drugalcdep.2015.02.014 (DOI)
  • Giovino, Gary A., Villanti, Andrea C., Mowery, Paul D., Sevilimedu, Varadan, Niaura, Raymond S., Vallone, Donna M., Abrams, David B.. Differential trends in cigarette smoking in the USA: Is menthol slowing progress?. Tobacco Control.24, 28-37.2015.
    • ID: 10.1136/tobaccocontrol-2013-051159 (DOI)
  • Glasheen, Cristie, Forman-Hoffman, Valerie L.. Residential transience, major depressive episodes, and the risk of suicidal thoughts, plans, and attempts. Suicide and Life-Threatening Behavior.2015.
    • ID: 10.1111/sltb.12160 (DOI)
  • Glasheen, Cristie, Pemberton, Michael R., Lipari, Rachel, Copello, Elizabeth, Mattson, Margaret E.. Binge drinking and the risk of suicidal thoughts, plans, and attempts. Addictive Behaviors.43, 422015.
    • ID: 10.1016/j.addbeh.2014.12.005 (DOI)
  • Gould, Deborah W., Teich, Judith L., Pemberton, Michael R., Pierannunzi, Carol, Larson, Sharon. Behavioral health in the Gulf Coast Region following the Deepwater Horizon Oil Spill: Findings from two federal surveys. Journal of Behavioral Health Services and Research.42, (1), 6-22.2015.
    • ID: 10.1007/s11414-014-9441-8 (DOI)
  • Han, B., Compton, W.M., Jones, C.M., Cai, R.. Nonmedical prescription opioid use and use disorders among adults aged 18 through 64 years in the United States, 2003-2013. JAMA, The Journal of the American Medical Association.314, (14), 1468-1478.2015.
    • ID: 10.1001/jama.2015.11859 (DOI)
  • Han, Beth, Compton, Wilson M., Gfroerer, Joseph, McKeon, Richard. Prevalence and correlates of past 12-month suicide attempt among adults with past-year suicidal ideation in the United States. Journal of Clinical Psychiatry.76, (3), 295-302.2015.
    • ID: 10.4088/JCP.14m09287 (DOI)
  • Han, Beth, Gfroerer, Joe, Kuramoto, S. Janet, Ali, Mir, Woodward, Albert M., Teich, Judith. Medicaid expansion under the Affordable Care Act: Potential changes in receipt of mental health treatment among low-income nonelderly adults with serious mental illness. American Journal of Public Health.2015.
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  • Hendricks, Peter S., Thorne, Christopher B., Clark, C. Brendan, Coombs, David W., Johnson, Matthew W.. Classic psychedelic use is associated with reduced psychological distress and suicidality in the United States adult population. Journal of Psychopharmacology.29, (3), 2802015.
    • ID: 10.1177/0269881114565653 (DOI)
  • Johansen, P., Krebs, T.S.. Psychedelics not linked to mental health problems or suicidal behavior: A population study. Journal of Psychopharmacology.29, (3), 270-279.2015.
    • ID: 10.1177/0269881114568039 (DOI)
  • Kirson, Noam Y., Shei, Amie, Rice, J. Bradford, Enloe, Caroline J., Bodnar, Katharine, Birnbaum, Howard G., Holly, Pamela, Ben-Joseph, Rami. The burden of undiagnosed opioid abuse among commercially insured individuals. Pain Medicine.16, (7), 1325-1332.2015.
    • ID: 10.1111/pme.12768 (DOI)
  • Ko, J.Y., Farr, S.L., Tong, V.T., Creanga, A.A., Callaghan, W.M.. Prevalence and patterns of marijuana use among pregnant and nonpregnant women of reproductive age. American Journal of Obstetrics and Gynecology.2015.
    • ID: 10.1016/j.ajog.2015.03.021 (DOI)
  • Krauss, Melissa J., Cavazos-Rehg, Patricia A., Agrawal, Arpana, Bierut, Laura J., Grucza, Richard A.. Long-term effects of minimum legal drinking age laws on marijuana and other illicit drug use in adulthood. Drug and Alcohol Dependence.2015.
    • ID: 10.1016/j.drugalcdep.2015.01.043 (DOI)
  • Kuramoto-Crawford, S. Janet, Han, Beth, Jacobus-Kantor, Laura, Mojtabai, Ramin. Differences in patients’ perceived helpfulness of depression treatment provided by general medical providers and specialty mental health providers. General Hospital Psychiatry.2015.
    • ID: 10.1016/j.genhosppsych.2015.04.006 (DOI)
  • Lipari, Rachel N.. Monthly Variation in Substance Use Initiation among Full-time College Students. CBHSQ Report.Rockville, MD: Substance Abuse and Mental Health Services Administration, Center for Behavior Health Statistics and Quality. 2015.
    • ID: http://www.samhsa.gov/data/sites/default/files/report_2049/ShortReport-2049.pdf (URL)
  • Lipari, Rachel N., Hughes, Arthur. Trends in Heroin Use in the United States: 2002 to 2013. NSDUH Report.Rockville, MD: Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality. 2015.
    • ID: http://www.samhsa.gov/data/sites/default/files/report_1943/ShortReport-1943.pdf (URL)
  • Mark, Tami L., Wier, Lauren M., Malone, Kevin, Penne, Michael, Cowell, Alexander J.. National estimates of behavioral health conditions and their treatment among adults newly insured under the ACA. Psychiatric Services.66, (4), 4262015.
    • ID: 10.1176/appi.ps.201400078 (DOI)
  • Marti, C. Nathan, Choi, Namkee G., DiNitto, Diana M., Choi, Bryan Y.. Associations of lifetime abstention and past and current alcohol use with late-life mental health: A propensity score analysis. Drug and Alcohol Dependence.149, 245-251.2015.
    • ID: 10.1016/j.drugalcdep.2015.02.008 (DOI)
  • Martins, S.S., Santaella-Tenorio, J., Marshall, B.D.L., Maldonado, A., Cerda, M.. Racial/ethnic differences in trends in heroin use and heroin-related risk behaviors among nonmedical prescription opioid users. Drug and Alcohol Dependence.2015.
    • ID: 10.1016/j.drugalcdep.2015.03.020 (DOI)
  • Maruschak, Laura M., Berzofsky, Marcus. Medical Problems of State and Federal Prisoners and Jail Inmates, 2011-12. Special Report.NCJ 248491, Washington, DC: United States Department of Justice, Office of Justice Programs, Bureau of Justice Statistics. 2015.
    • ID: http://www.bjs.gov/content/pub/pdf/mpsfpji1112.pdf (URL)
  • McClellan, Chandler. Trends in Insurance Coverage and Treatment Utilization by Young Adults. CBHSQ Report.SMA 13-4795, Rockville, MD: Substance Abuse and Mental Health Services Administration, Center for Behavior Health Statistics and Quality. 2015.
    • ID: http://www.samhsa.gov/data/sites/default/files/SR-1887/SR-1887.pdf (URL)
  • Messer, K., White, M.M., Strong, D.R., Wang, B., Shi,Y., Conway, Kevin P., Pierce, J.P.. Trends in use of little cigars or cigarillos and cigarettes among US males, 2002-2011. Nicotine and Tobacco Research.17, (5), 515-523.2015.
    • ID: 10.1093/ntr/ntu179 (DOI)
  • Mojtabai, Ramin, Jorm, Anthony F.. Trends in psychological distress, depressive episodes and mental health treatment-seeking in the United States: 2001–-2012. Journal of Affective Disorders.174, (15), 556-561.2015.
    • ID: 10.1016/j.jad.2014.12.039 (DOI)
  • Okaneku, J., Vearrier, D., McKeever, R.G., LaSala, G.S., Greenberg, M.I.. Change in perceived risk associated with marijuana use in the United States from 2002 to 2012. Clinical Toxicology.53, (3), 151-155.2015.
  • Pacek, Lauren R., Mauro, Pia M., Martins, Silvia S.. Perceived risk of regular cannabis use in the United States from 2002 to 2012: Differences by sex, age, and race/ethnicity. Drug and Alcohol Dependence.149, 232-244.2015.
    • ID: 10.1016/j.drugalcdep.2015.02.009 (DOI)
  • Palamar, Joseph J., Davies, Shelby, Ompad, Danielle C., Cleland, Charles M., Weitzman, Michael. Powder cocaine and crack use in the United States: An examination of risk for arrest and socioeconomic disparities in use. Drug and Alcohol Dependence.149, 108-116.2015.
    • ID: 10.1016/j.drugalcdep.2015.01.029 (DOI)
  • Palamar, Joseph J., Martins, Silvia S., Su, Mark K., Ompad, Danielle C.. Self-reported use of novel psychoactive substances in a US nationally representative survey: Prevalence, correlates, and a call for new survey methods to prevent underreporting. Drug and Alcohol Dependence.2015.
    • ID: 10.1016/j.drugalcdep.2015.08.028 (DOI)
  • Rose, T., Shields, J., Tueller, S., Larson, S.. Religiosity and behavioral health outcomes of adolescents living in disaster-vulnerable areas. Journal of Religion and Health.54, (2), 480-494.2015.
    • ID: 10.1007/s10943-014-9828-0 (DOI)
  • Rough, Kathryn, Tassiopoulos, Katherine, Kacanek, Deborah, Griner, Raymond, Yogev, Ram, Rich, Kenneth, Seage, George, III. Dramatic decline in substance use by HIV-infected pregnant women in the United States from 1990 to 2012. AIDS.29, 117-123.2015.
    • ID: 10.1097/QAD.0000000000000503 (DOI)
  • Salas-Wright, Christopher P., Vaughn, Michael G., Ugalde, Jenny, Todic, Jelena. Substance use and teen pregnancy in the United States: Evidence from the NSDUH 2002–-2012. Addictive Behaviors.2015.
    • ID: 10.1016/j.addbeh.2015.01.039 (DOI)
  • Shu, Chang, Le Cook, Benjamin. Examining the association between substance use disorder treatment and smoking cessation. Addiction.2015.
    • ID: 10.1111/add.12879 (DOI)
  • Stein, Bradley D., Gordon, Adam J., Dick, Andrew W., Burns, Rachel M., Pacula, Rosalie Liccardo, Farmer, Carrie M., Leslie, Douglas L., Sorbero, Mark. Supply of buprenorphine waivered physicians: The influence of state policies. Journal of Substance Abuse Treatment.48, (1), 104-111.2015.
    • ID: 10.1016/j.jsat.2014.07.010 (DOI)
  • Stringer, Kristi L., Baker, Elizabeth H.. Stigma as a barrier to substance abuse treatment among those with unmet need: An analysis of parenthood and marital status. Journal of Family Issues.2015.
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  • Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality. Behavioral Health Barometer: United States, 2014. SMA-15-4895, Rockville, MD: United States Department of Health and Human Services, Substance Abuse and Mental Health Services Administration. 2015.
    • ID: http://www.samhsa.gov/data/sites/default/files/National_BHBarometer_2014/National_BHBarometer_2014.pdf (URL)
  • Swartz, James A.. The relative odds of lifetime health conditions and infectious diseases among men who have sex with men compared with a matched general population sample. American Journal of Men's Health.9, (2), 150-162.2015.
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  • Wu, Li-Tzy, Swartz, Marvin S., Brady, Kathleen T., Hoyle, Rick H.. Perceived cannabis use norms and cannabis use among adolescents in the United States. Journal of Psychiatric Research.2015.
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  • Young-Wolff, Kelly C., Hickman, Norval J., Kim, Romina, Gali, Kathleen, Prochaska, Judith J.. Correlates and prevalence of menthol cigarette use among adults with serious mental illness. Nicotine and Tobacco Research.17, (3), 285-291.2015.
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  • van Hasselt, Martijn, Kruger, Judy, Han, Beth, Caraballo, Ralph S., Penne, Michael A., Loomis, Brett, Gfroerer, Joseph C.. The relation between tobacco taxes and youth and young adult smoking: What happened following the 2009 U.S. federal tax increase on cigarettes?. Addictive Behaviors.45, 104-109.2015.
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Update Metadata: 2015-11-23 | Issue Number: 7 | Registration Date: 2015-06-16

United States Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Office of Applied Studies (2010): National Survey on Drug Use and Health, 2009. Version 5. National Survey on Drug Use and Health (NSDUH) Series. Version: v5. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR29621.v5