Predicting Pain Reliever Misuse/Abuse

An Exploration of Demographics, Medication Use and Illicit Drug Use

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About this dataset

The National Survey on Drug Use and Health (2015-2017) is a comprehensive data set that provides insight into the characteristics of individuals at risk for pain reliever misuse and abuse. Information collected includes demographics, medication use, and illicit drug use. This study will assess which factors are most likely to predict the risk of pain reliever misuse or abuse by looking at columns including age category, gender, marital status, education level, employment status, city/metropolitan area healthability levels mental health self-reported health; prescription medication misuse or abuse ever used heroin or tranquilizers in the past year; amphetamines used sedatives cocaine hallucinogens whether they received treatment for substance use and more. With this information readily available it is possible to better understand subtle indicators of potential risks as well as identify targeted areas for prevention efforts. The goal of this analysis is to comprehend how these factors can be used together to best predict the chance of misuse or abuse associated with pain reliever medications

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How to use the dataset

This dataset contains information on demographics, medication use, and illicit drug use from the National Survey on Drug Use and Health. This data can be used to predict the risk of pain reliever misuse or abuse.

In order to effectively use this dataset, it is important to understand which factors can influence pain reliever misuse or abuse. The following variables are considered as predictors: Year, Age Category, Gender, Marital Status, Education Level, Employment Status City/Metropolitan Area Self-Reported Health Mental Health Misuse/Abuse of Prescription Medications Heroin Use Amphetamines Used Tranquilizers Used Sedatives Used Cocaine Use Hallucinogens Used Receipt of Treatment

By analyzing these factors individually and together with one another our goal is to identify patterns which increase an individual’s risk of misusing or abusing pain relievers. Additionally we hope to gain insight into how an individual's background may increase their risk of participating in such behaviors. From this knowledge we can help develop programs targeting those at a high risk for misuse and abuse prevention programs specifically tailored towards the needs of that population

Research Ideas

• Predicting risk of substance misuse and abuse in different demographics across the United States
• Identifying and targeting high-risk populations with tailored public health campaigns
• Evaluating the effectiveness of public education efforts by comparing pre-existing substance abuse trends to post-campaign results

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: prlmis-data-full.csv | Column name | Description | |:--------------|:------------------------------------------------------------| | YEAR | Year of survey (Integer) | | AGECAT | Age category (Categorical) | | SEX | Gender (Categorical) | | MARRIED | Marital status (Categorical) | | EDUCAT | Education level (Categorical) | | EMPLOY18 | Employment status (Categorical) | | CTYMETRO | City or metropolitan area (Categorical) | | HEALTH | Self-reported health (Categorical) | | MENTHLTH | Self-reported mental health (Categorical) | | PRLMISEVR | Ever misused prescription medication (Binary) | | PRLMISAB | Abused prescription medications (Binary) | | PRLANY | Misused or abused minimum prescription medications (Binary) | | HEROINEVR | Ever used heroin (Binary) | | **HEROINU...

This data collection offers information on socioeconomic and demographic characteristics of synthetic drug users, characteristics of synthetic drug use such as frequency and method of intake, and factors that prompt drug users to begin to use synthetic drugs or to switch from agricultural drugs to synthetic drugs. Synthetic drugs investigated in the collection include PCP, ice, ecstasy, and speed, while nonsynthetic drugs include alcohol, marijuana, heroin, cocaine, and crack. Patterns of use for all of these drugs are explored. Questions about specific drugs include whether the respondent had ever used the drug, age first used, number of days in the past 30 days the drug was used, whether the drug was used more than two times per week, method of drug intake, and the drug used most often by the respondent and by the respondent's friends. Additional variables include reasons for preferring synthetic or nonsynthetic drugs, reasons the respondent would discontinue use or switch to another drug, availability and cost of certain drugs, and extent of involvement in selling, money handling, and protection. Finally, demographic variables such as sex, ethnicity, age, highest grade completed, employment activity in the past month, geographical location, and subject source (criminal justice system or drug treatment center) are included in the file. The unit of analysis is the individual drug user.

Browse state-level population estimates based on the 2021-2022 National Surveys on Drug Use and Health (NSDUH). The 37 tables include estimates for 35 measures of substance use and mental health, by age group, along with 95% confidence intervals. The estimates are based on small area estimation (SAE) methods, in which state-level NSDUH data are combined with other data from smaller geographies. The combined data are used to create modeled state estimates of the civilian, noninstitutionalized population ages 12 and older, or adults 18 and older for mental health measures. Each table covers a single measure by state, region, and age group.The indicators are presented in the following 37 tables:Drug use and Perceived RiskIllicit Drug Use in the Past MonthMarijuana Use in the Past YearMarijuana Use in the Past MonthPerceptions of Great Risk from Smoking Marijuana Once a MonthFirst Use of Marijuana in the Past Year (among those at risk for initiation)Illicit Drug Use Other than Marijuana in the Past MonthCocaine Use in the Past YearPerceptions of Great Risk from using Cocaine Once a MonthHeroin Use in the Past YearPerceptions of Great Risk from Trying Heroin Once or TwiceHallucinogen Use in the Past YearMethamphetamine Use in the Past YearPrescription Pain Reliever Misuse in the Past YearOpioid Misuse in the Past YearAlcoholAlcohol Use in the Past MonthBinge Alcohol Use in the Past MonthPerceptions of Great Risk from Having Five or More Drinks of an Alcoholic Beverage Once or Twice a WeekAlcohol Use, Binge Alcohol Use in the Past Month, and Perceptions of Great Risk from Having Five or More Drinks of an Alcoholic Beverage Once or Twice a Week (among people aged 12 to 20)TobaccoTobacco Product Use in the Past MonthCigarette Use in the Past MonthPerceptions of Great Risk from Smoking One or More Packs of Cigarettes per DaySubstance Use DisordersSubstance Use Disorder in the Past YearAlcohol Use Disorder in the Past YearAlcohol Use Disorder in the Past Year (among people aged 12 to 20)Drug Use Disorder in the Past YearPain Reliever Use Disorder in the Past YearOpioid Use Disorder in the Past YearSubstance Use TreatmentReceived Substance Use Treatment in the Past YearClassified as Needing Substance Use Treatment in the Past YearDid Not Receive Substance Use Treatment in the Past Year among those Classified as Needing Substance Use TreatmentMental IllnessAny Mental Illness in the Past YearSerious Mental Illness in the Past YearReceived Mental Health Treatment in the Past YearMajor Depressive Episode in the Past YearSuicidalityHad Serious Thoughts of Suicide in the Past YearMade Any Suicide Plans in the Past YearAttempted Suicide in the Past YearThe tables are available in an Excel spreadsheet, a PDF file, or as a zip file of 37 CSV text files.

The National Survey on Drug Use and Health (NSDUH) series (formerly titled National Household Survey on Drug Abuse) 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 include 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 covers substance abuse treatment history and perceived need for treatment, and includes questions from the Diagnostic and Statistical Manual (DSM) of Mental Disorders that allow diagnostic criteria to be applied. The survey includes questions concerning treatment for both substance abuse and mental health related disorders. Respondents are 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 2002 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, gang involvement, 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 and have been retained through the 2002 survey. Demographic data include sex, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition. This study has 1 Data Set.

The National Household Survey on Drug Abuse (NHSDA) 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, and tobacco 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: marijuana, cocaine (and crack), hallucinogens, heroin, inhalants, alcohol, tobacco, and nonmedical use of prescription drugs, including pain relievers, tranquilizers, stimulants, and sedatives. The survey covers substance abuse treatment history and perceived need for treatment, and includes questions from the Diagnostic and Statistical Manual (DSM) of Mental Disorders that allow diagnostic criteria to be applied. Respondents are 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 NHSDA administrations were retained in the 1999 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, gang involvement, 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. Also retained were questions on mental health and access to care, perceived risk of using drugs, perceived availability of drugs, driving behavior and personal behavior, and cigar smoking. Questions on the tobacco brand used most often were introduced with the 1999 survey. Demographic data include sex, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition. This study has 1 Data Set.

This file includes data from the 2002 through 2011 National Survey on Drug Use and Health (NSDUH) survey. The only variables included in the data file are ones that were collected in a comparable manner across one or more of the pair years, i.e., 2002-2003, 2004-2005, 2006-2007, 2008-2009, 2010-2011, or 2012-2013.
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. 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. Certain questions are 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. Also included are questions on mental health and access to care, perceived risk of using drugs, perceived availability of drugs, driving and personal behavior, and cigar smoking. Demographic information includes gender, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition.
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.This study has 1 Data Set.

The Monitoring the Future (MTF) project is a long-term epidemiologic and etiologic study of substance use among youth and adults in the United States. It is conducted at the University of Michigan's Institute for Social Research and is funded by a series of investigator-initiated research grants from the National Institute on Drug Abuse. The MTF panel study consists of six different survey forms (five forms from 1976-1988), and each survey contains a "core" set of questions about demographics and substance use. This study contains the "core" data for these questions compiled across all survey forms and years in which they are included for the longitudinal panel participants. Each record in the core panel dataset includes the respondent's data for their base year (BY) 12th grade survey (modal age 18) and their young adult follow-up FU surveys (modal ages 19-30). The core panel dataset should be selected by all researchers. Use the linking variable available on all datasets, MTFID, to link the core dataset with all other MTF panel datasets. Here is a list of subjects included in the core dataset: Administrative variables Year of administration Survey form Survey date BY survey weight, sampling stratum and cluster FU panel analysis weights Demographics BY only #Parents in household Parent education levels Respondent's age in months Sex Race/Ethnicity Region of the country (school location) Population density/Urbanicity (school location) High school Zip Code, State and County FIPS codes (can be linked to user-provided data; results can be reported at no unit smaller than US geographical region) Absenteeism (illness, cutting, skipping class) High school program, Grades, post-high school plans FU only Pregnancy status Household type Urbanicity Absenteeism (missing work due to illness, other) Vocational/Technical education, Armed forces, College attendance College grades, attendance, Greek life BY and FU Marital status Household composition Political preference Religious attendance, importance, preference Evenings out, Dating Employment Salary/earned Income and Other Income Driving, tickets, and accidents related to alcohol and other substance use Substance use Cigarette use Alcohol use (including binge drinking (e.g. 5+ drinks in a row/2 weeks), drunkenness) Marijuana/cannabis, hashish use LSD use Hallucinogen use, other than LSD Cocaine use (including cocaine, crack, other forms) Amphetamine use Sedatives/Barbiturate use Tranquilizer use Heroin use (with and without needles) Narcotics use (other than Heroin) Inhalant use Steroid use Ice use Methamphetamine use MDMA use Vaping: nicotine, marijuana, flavoring Please see the study documentation available on the MTF Panel series page for question-specific details. More information about the MTF project can be accessed through the Monitoring the Future website. Annual reports are published by the research team, describing the data collection and trends over time.

This study was undertaken to evaluate the New York City Department of Probation's initiative to place clients in specialized Substance Abuse Verification and Enforcement (SAVE) units for treatment and management. The main analytical strategy of this study was to determine whether clients who were appropriately matched to outpatient drug treatment were less likely to recidivate after treatment in this modality. The focus of the research was not so much on developing powerful prediction models, but rather on determining whether outpatient drug treatment was appropriate and effective for certain types of probationers. The evaluation research involved an in-depth analysis of a sample of 1,860 probationers who were sentenced between September 1991-September 1992 and referred to contracting outpatient drug treatment programs one or more times as of December 31, 1993. The following types of data were collected: (1) the New York City Department of Probation's demographic and drug use information, obtained during the presentence investigation and at intake to probation, (2) the Department of Probation's Central Placement Unit (CPU) database records for each referral made through the CPU, as well as monthly progress reports filled out by the treatment programs on each probationer admitted to drug treatment, (3) the New York State Department of Criminal Justice Statistics' data on criminal histories, and (4) probation officers' reports on whether clients were referred to treatment, the kind of treatment modality to which they were referred, and the dates of admission and discharge. Demographic and socioeconomic variables include age at first arrest and sentencing, gender, race or ethnicity, marital status, family composition, educational attainment, and employment status. Other variables include drug use history (e.g., age at which drugs were first used, if the client's family members used drugs, if the client was actively using heroin, cocaine, or alcohol at time of intake into treatment), criminal history (e.g., age at first arrest, number of arrests, types of crimes, prior convictions, and prior probation and jail sentences), and drug treatment history (e.g., number and types of prior times in drug treatment, months since last treatment program, number of admissions to a CPU program, and number of AIDS education programs attended).

This table contains 84 series, with data for years 1990 - 1998 (not all combinations necessarily have data for all years), and was last released on 2007-01-29. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Sex (2 items: Males; Females ...), Age group (2 items: 13 years; 15 years ...), Type of drug (7 items: Cocaine; Hashish or marijuana; Solvents; Heroin; opium or morphine ...), Frequency (3 items: 3 times or more; Once or twice; Never ...).