Addiction Health Evaluation and Disease (AHEAD) Management Study in Boston, Massachusetts, 2006-2010 (ICPSR 33581)
Substance dependence (SD) is a chronic disease that requires specialty drug and alcohol treatment, primary care (PC), and management of related problems. Although patients with SD may be linked with specialty care and PC, their health care often remains episodic and fragmented, rather than longitudinal, comprehensive, integrated, and coordinated. As a result, adults with SD often enter addiction treatment later and require acute medical care, rather than entering the system earlier when interventions of lower intensity but longer duration might prevent catastrophes. Chronic disease management (CDM) is a collaborative, longitudinal approach to treatment of certain chronic medical illnesses proven to be more effective than routine care. CDM addresses individual patient and health systems barriers to receipt of needed treatment. However, the effectiveness of CDM for SD has not been tested. The objective of this Addiction Health Evaluation and Disease management (AHEAD) study, was to test the effectiveness of CDM for SD in PC.
Subject identification and recruitment occurred primarily at a local detoxification center, as well as by self and physician referral from the Boston Medical Center primary and ambulatory care clinics, emergency department, urgent care center, inpatient settings, and the community. The study enrolled 320 adults with drug dependence and 320 adults with alcohol dependence who were not in SD treatment, and randomized them to a SD CDM program (the AHEAD Clinic) integrated into a real-world PC clinic or to referral to standard PC. All subjects were assessed regarding SD diagnosis, substance use and problems, readiness to change, health-related quality of life, and medical and drug treatment utilization. Subjects were evaluated 3, 6, and 12 months later, and health services utilization data were collected for 2 years from a statewide database. Additionally, in order to better understand and explain the implementation and fidelity of the AHEAD Clinic, the primary care providers (PCPs) of AHEAD Clinic patients were surveyed. Each PCP was presented with a letter from the Principal Investigator explaining the purpose of the survey, the reason why s/he was being asked to complete the survey, compensation for completing the survey, and details about confidentiality and anonymity. The survey itself consisted of questions asking providers about their satisfaction and their attitudes towards caring for patients with alcohol and drug problems, their knowledge of services that the AHEAD Clinic provides, and their experience working with the AHEAD Clinic.
Primary outcomes were illicit drug use, alcohol use, substance-related problems, emergency department visits, and hospitalizations. The proposal's hypothesis was that compared with standard care, a health services delivery intervention (CDM for SD integrated in PC) would decrease alcohol and illicit drug use and related problems, and improve health care utilization patterns. Improved outcomes using the AHEAD approach would support the adoption of a health services delivery strategy, CDM, to better care for patients with SD.
- Dataset 1: 844 variables; 563 cases
- Dataset 2: 607 variables; 500 cases
- Dataset 3: 607 variables; 487 cases
- Dataset 4: 713 variables; 532 cases
- Dataset 5: 80 variables; 549 cases
- Dataset 6: 59 variables; 1,435 cases
- Dataset 7: 25 variables; 87 cases
- Dataset 8: 25 variables; 87 cases
- Dataset 9: 41 variables; 73 cases
- Dataset 10: 9 variables; 11,018 cases
- Dataset 11: 5 variables; 511 cases
Army Study to Assess Risk and Resilience in Servicemembers (STARRS) (ICPSR 35197)
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April 29, 2025: STARRS - Longitudinal Study Wave 4 (LSW4) data released*****************************************************************************************
The Army Study to Assess Risk and Resilience in Servicemembers (STARRS) is an extensive study of mental health risk and resilience among military personnel. Army STARRS consists of eight separate but integrated epidemiologic and neurobiologic studies. Survey data for three of the Army STARRS study components are available via Secure Dissemination or via the ICPSR Virtual Data Enclave: New Soldier Study (NSS); All Army Study (AAS) and Pre-Post Deployment Study (PPDS). Also available are data for the STARRS-Longitudinal Study (STARRS-LS), which are follow-up surveys conducted with Army STARRS participants from AAS, NSS and PPDS studies. Lastly, baseline administrative data from the Army/Department of Defense (DoD) and blood sample flags for Soldiers who had blood drawn as a part of their participation in NSS or PPDS are available.
The AAS component of Army STARRS assesses soldiers' psychological and physical health, events encountered during training, combat, and non-combat operations, and life and work experiences across all phases of Army service. The AAS data includes data on soldiers' psychological resilience, mental health, and risk for self-harm.
The NSS data are drawn from new soldiers who have just entered the Army. The data contain information on soldier health, personal characteristics, and prior experiences. Results from a series of neurocognitive tests are also included in the NSS data.
The PPDS data are drawn from active duty soldiers who were interviewed at four points in time: 3-4 months prior to deployment to Afghanistan; within 1-2 weeks after return from deployment; 1-3 months after return from deployment; and 9-12 months after return from deployment. The PPDS data contain information on soldiers' psychological resilience, mental health, deployment experiences, and risk for self-harm.
The STARRS-LS data are from multiple follow-up interviews with individuals who previously participated in the AAS, NSS and PPDS study components of Army STARRS. STARRS-LS data contain follow-up information on soldiers' and veterans' physical and mental health, resilience and risk for self-harm, military and employment status, deployment experience, and personal characteristics as they move through their Army careers and after they leave the Army.
Arrestee Drug Abuse Monitoring (ADAM) Program in the United States, 1998 (ICPSR 2826)
Arrestee Drug Abuse Monitoring (ADAM) Program in the United States, 1999 (ICPSR 2994)
Arrestee Drug Abuse Monitoring (ADAM) Program in the United States, 2000 (ICPSR 3270)
Arrestee Drug Abuse Monitoring (ADAM) Program in the United States, 2001 (ICPSR 3688)
Arrestee Drug Abuse Monitoring (ADAM) Program in the United States, 2002 (ICPSR 3815)
Arrestee Drug Abuse Monitoring (ADAM) Program in the United States, 2003 (ICPSR 4020)
Arrestee Drug Abuse Monitoring (ADAM) Project in Rural Nebraska, 1998 (ICPSR 28141)
Arrestee Drug Abuse Monitoring II in the United States, 2012 (Restricted Use) (ICPSR 34821)
Arrestee Drug Abuse Monitoring II in the United States, 2013 (Restricted Use) (ICPSR 35169)
Arrestee Drug Abuse Monitoring Program II in the United States, 2007 (ICPSR 25821)
Arrestee Drug Abuse Monitoring Program II in the United States, 2008 (ICPSR 27221)
Arrestee Drug Abuse Monitoring Program II in the United States, 2009 (ICPSR 30061)
Arrestee Drug Abuse Monitoring Program II in the United States, 2010 (ICPSR 32321)
Boys Town Study of Youth Development, United States, mid-1970s (ICPSR 34595)
California Families Project [Sacramento and Woodland, California] [Restricted-Use Files] (ICPSR 35476)
The California Families Project (CFP) is an ongoing longitudinal study of Mexican origin families in Northern California. This study uses community, school, family, and individual characteristics to examine developmental pathways that increase risk for and resilience to drug use in Mexican-origin youth. This study also examines the impact that economic disadvantage and cultural traditions have in Mexican-origin youth. The CFP includes a community-based sample of 674 families and children of Mexican origin living in Northern California, and includes annual assessments of parents and children. Participants with Mexican surnames were drawn at random from school rosters of students during the 2006-2007 and 2007-2008 school year. Data collection included multi-method assessments of a broad range of psychological, familial, scholastic, cultural, and neighborhood factors. Initiation of the research at age 10 was designed to assess the focal children before the onset of Alcohol, Tobacco, and Other Drug (ATOD) use, thus enabling the evaluation of how hypothesized risk and resilience mechanisms operate to exacerbate early onset during adolescence or help prevent its occurrence. This study includes a diversity of families that represent a wide range of incomes, education, family history, and family structures, including two-parent and single-parent families.
The accompanying data file consists of 674 family cases with each case representing a focal child and at least one parent (Two-parent: n=549, 82 percent; Single-parent: n=125, 18 percent). Of the 3,139 total variables, 839 pertain to the focal child, 1,376 correspond to the mother, and 908 items pertain to the father.
Please note: While the California Families Project is a longitudinal study, only the baseline data are currently available in this data collection.
Center for Education and Drug Abuse Research (CEDAR): Etiological and Prospective Family Study in Southwestern Pennsylvania, Baseline and Follow-Up Data, 1990-2014 (ICPSR 33444)
Chicago Male Drug Use and Health Survey (MSM Supplement), 2002-2003 (ICPSR 34303)
The Community Vulnerability and Responses to Drug-User-Related HIV/AIDS, 1990-2013 [96 Metropolitan Statistical Areas, United States] (ICPSR 36575)
The Community Vulnerability and Responses to Drug-User-Related HIV/AIDS, 1990-2013 [96 Metropolitan Statistical Areas, United States] study (CVAR) was a research study of why large United States Metropolitan Statistical Areas (MSAs) vary over time in their vulnerability to HIV/AIDS among drug users and in MSA responses to HIV/AIDS. This collection contains estimates of HIV prevalence among people who injected drugs (PWID) and among sub-populations of PWID. This collection is comprised of ten datasets with differing amounts of variables and provides trend data that describe the following:
- Epidemiologic outcomes including population prevalence of PWIDs and Non-injecting drug users (NIDUs), and particularly their prevalence among youth; and, among PWIDs, HIV prevalence, late-diagnosis HIV cases, and AIDS incidence and mortality.
- Implementation of evidence-based drug-related interventions including drug abuse treatment, syringe exchange, HIV counseling and testing.
- Implementation of non-evidence-based drug-related interventions including incarceration and arrests of drug users.
The collection contains data on the MSA sub-populations including Black, Hispanic, White and "other" race categories. In addition, some statistics are presented in age range categories such as ages 15-29, 30-64 and 15-64.
Comprehensive Investigation of the Role of Individuals, the Immediate Social Environment, and Neighborhoods in Trajectories of Adolescent Antisocial Behavior in Chicago, Illinois, 1994-2002 (ICPSR 33921)
Crack, Powder Cocaine, and Heroin: Drug Purchase and Use Patterns in Six Cities in the United States, 1995-1996 (ICPSR 2564)
Crime Days Precursors Study: Baltimore, 1952-1976 (ICPSR 8222)
Criminal Histories and Criminal Justice Processing of Drug Use Forecasting (DUF) Sample Members in Washington, DC, 1989-1991 (ICPSR 6122)
Criminal Justice Drug Abuse Treatment Studies (CJ-DATS): Inmate Pre-Release Assessment (IPASS), 2001 [United States] (ICPSR 29201)
Criminal Justice Drug Abuse Treatment Studies (CJ-DATS): National Criminal Justice Treatment Program (NCJTP) Survey in the United States, 2002-2008 (ICPSR 27382)
Denver Youth Survey Waves 1-5, (1988-1992) [Denver, Colorado] (ICPSR 36473)
The Denver Youth Survey (DYS) is part of the larger "Program of Research on the Causes and Correlates of Delinquency" initiated by the Office of Juvenile Justice and Delinquency Prevention in 1986. The DYS is a longitudinal study of problem and successful behavior over the life course that focuses on delinquency, drug use, victimization, and mental health. The DYS is based on a probability sample of households in "high-risk" neighborhoods of Denver, Colorado. These neighborhoods were selected on the basis of their social ecology in terms of population and housing characteristics. Only socially disorganized neighborhoods with high official crime rates (top one-third) were included. The survey respondents include 1,528 children and youth who were 7, 9, 11, 13, or 15 years old in 1987, and one of their parents, who lived in one of the more than 20,000 randomly selected households.
The survey respondents include 807 boys and 721 girls and include White (10 percent), Latino (45 percent), and African American (33 percent) youth, as well as 12 percent from other racial/ethnic backgrounds. The child and youth respondents, along with one caretaker, were interviewed annually from 1988 until 1992, and annually from 1995 until 1999. The age range covered by the study is from age 7 through age 26.
The dataset contains 1,528 cases and 22,081 variables.
Denver Youth Survey Waves 6-11 (1993-2003) [Denver, Colorado] (ICPSR 36474)
The Denver Youth Survey (DYS) is part of the larger "Program of Research on the Causes and Correlates of Delinquency" initiated by the Office of Juvenile Justice and Delinquency Prevention in 1986. It is a longitudinal study of problem and successful behavior over the life course that focuses on delinquency, drug use, victimization, and mental health. DYS variables also address family demographics, neighborhood characteristics, parenting, and involvement in social roles.
The DYS is based on a probability sample of households in "high-risk" neighborhoods of Denver, Colorado. These neighborhoods were selected on the basis of their social ecology in terms of population and housing characteristics. Only socially disorganized neighborhoods with high (top one-third) official crime rates were included. The survey respondents include 1,528 children and youth who were 7, 9, 11, 13, or 15 years old in 1987, and one of their parents, who lived in one of the more than 20,000 randomly selected households.
The survey respondents include 807 boys and 721 girls and include White (10%), Latino (45%), and African American (33%) youth, as well as 12% from other racial/ethnic backgrounds. The child and youth respondents, along with one caretaker, were interviewed annually from 1988 until 1992 (waves 1-5), annually from 1995 until 1999 (waves 6-10), and in 2003 (wave 11). The study covers an age range of 7 through 26.
Development and Malleability from Childhood to Adulthood in Baltimore, Maryland, 2001-2005 (ICPSR 34870)
In the fall of 1993, the entering 1st graders in nine Baltimore City, Maryland public elementary schools were recruited for participation in a randomized trial of two universal, preventive interventions. Both interventions targeted the early antecedent risk behaviors of poor academic achievement and aggressive/coercive behavior and their distal correlates: substance abuse/dependence, antisocial behavior, high risk sexual behavior, sexually transmitted infections (STIs), and psychiatric symptoms and disorders. One intervention, the classroom-centered intervention (CC), sought to reduce the early risk behaviors of poor achievement and aggressive/coercive behaviors through the enhancement of classroom curricula and teacher instructional and behavior management practices. The second intervention, the family-school partnership intervention (FSP), sought to reduce these early risk behaviors by improving parent-teacher/school mental health professional collaboration and by enhancing parents' teaching and behavior management skills. The participating students and 1st grade teachers were randomly assigned to either the CC or FSP classroom-level conditions or to a control or standard setting classroom. The participating students' outcomes were assessed from the fall of 1st grade through 12th grade. Annual outcome assessments continued following high school through age ~ 26. Data from participating students' self-report of substance use and its putative mediators and moderators in 8th through 12th grade are available in this dataset.
The principal investigator withheld the intervention status variable that distinguishes the intervention groups from the control group. You may contact the Principal investigator to discuss obtaining the intervention variable.
This dataset contains variables on frequency of respondents' substance use during the respondents' lifetime as well as in the year, month, week prior to the survey. In addition, the dataset contains variables on alcohol consumption. The dataset also contains variables on the respondents' perceptions of the availability and harmfulness of substances. Respondents were also asked about perception of how many of his/her friends used drugs as well as their attitudes towards drug use, including personal disapproval of drug use, and perceived attitudes of parents and friends towards the respondents' drug use. Respondents were asked whether and how often they were offered substances to use and their intention to use substances if offered in the future. Substances asked about include tobacco, alcohol, marijuana, cocaine, crack, heroin, ecstasy, and inhalants.
This dataset contains 1535 variables and 713 respondents. The only demographic variables in this dataset are race and gender.
Differences in the Validity of Self-Reported Drug Use Across Five Factors in Indianapolis, Fort Lauderdale, Phoenix, and Dallas, 1994 (ICPSR 2706)
Domestic Violence and Substance Abuse Among the Arrestee Population in Albuquerque, New Mexico, 1999-2001 (ICPSR 3585)
Drug Abuse Treatment Outcome Study--Adolescent (DATOS-A), 1993-1995: [United States] (ICPSR 3404)
Drug Abuse Warning Network (DAWN), 1994: [United States] (ICPSR 2756)
Drug Abuse Warning Network (DAWN), 1997: [United States] (ICPSR 2834)
Drug Abuse Warning Network (DAWN), 2004 (ICPSR 33041)
The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year.
DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit.
The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 16 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.
Drug Abuse Warning Network (DAWN), 2005 (ICPSR 33042)
The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year.
DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit.
The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 16 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.
Drug Abuse Warning Network (DAWN), 2006 (ICPSR 33221)
The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year.
DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit.
The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 16 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.
Drug Abuse Warning Network (DAWN), 2007 (ICPSR 32861)
The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year.
DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit.
The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 16 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.
Drug Abuse Warning Network (DAWN), 2008 (ICPSR 31264)
The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year.
DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit.
The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 16 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.
Drug Abuse Warning Network (DAWN), 2009 (ICPSR 31921)
The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year.
DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug-related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit.
The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 22 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.
Drug Abuse Warning Network (DAWN), 2010 (ICPSR 34083)
The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year.
DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug-related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit.
The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 22 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.
Drug Abuse Warning Network (DAWN), 2011 (ICPSR 34565)
The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year.
DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug-related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit.
The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 22 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.
Drug Use and Cultural Factors Among Hispanic Adolescents and Emerging Adults, Los Angeles, 2006-2016 (ICPSR 36765)
The Drug Use and Cultural Factors Among Hispanic Adolescents and Emerging Adults - Los Angeles, 2006-2016 collection examines the cultural risk and protective factors for substance use among Hispanic adolescents and emerging adults in Southern California. Adolescents were recruited in 9th grade and completed annual surveys about their substance use, acculturation, ethnic identity, cultural stressors, peer and family relationships, and cultural values. They were re-contacted to complete surveys in their early 20s; this survey also included measures of sexual behavior and interpersonal violence.
Demographic variables present in this collection include age, gender, grade in school, ethnicity, country of origin, education level, language spoken, socioeconomic status, marital status, sexual orientation, ZIP code, and place of residence.
Drug Use Forecasting in 24 Cities in the United States, 1987-1997 (ICPSR 9477)
Dynamics of Retail Methamphetamine Markets in New York City, 2007-2009 (ICPSR 29821)
Effectiveness of Peer Navigation to Link Released HIV-Positive Jail Inmates to HIV Care (LINK LA), Los Angeles, California, 2012-2016 (ICPSR 39789)
This study is part of the Seek, Test, Treat and Retain (STTR) Collaboration Project that involved over twenty studies in the fields of HIV and drug abuse. All studies were independently developed, but were chosen for the collaboration because they focused on one or more steps of the HIV treatment cascade: Seek, Test, Treat and Retain. As part of STTR Collaboration Project, the studies were grouped into Criminal Justice-related studies and Vulnerable Population-related studies. The data collected by these studies included twelve common domains (e.g., Demographic characteristics, Mental Health) in each of which a shared questionnaire or instrument was taken up by the studies and adapted to fit the study.
This study was a Randomized Controlled Trial (RCT) of a peer-based health system navigation intervention among individuals assigned to the intervention group compared with those assigned to the control group (usual care transitional management services). Baseline interviews were conducted during incarceration while the follow-up interviews were conducted at months 2, 6 and 12 following release from jail to the community. For participants who were re-incarcerated during, interviews were conducted in the jail setting to ensure high study retention. The goal was to improve engagement and retention in HIV care.