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This dataset is about substance abuse (cigarettes, marijuana, cocaine, alcohol) among different age groups and states. Data was collected from individual states as part of the NSDUH study. The data ranges from 2002 to 2018. Both totals (in thousands of people) and rates (as a percentage of the population) are given.
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| Key | List of... | Comment | Example Value |
|---|---|---|---|
| State | String | The state that this report was created for. | "Alabama" |
| Year | Integer | The year that this report was created for. | 2002 |
| Population.12-17 | Integer | Estimated population for this age group (12 to 17 year olds) in this year from US Census data for this state. | 380805 |
| Population.18-25 | Integer | Estimated population for this age group (18 to 25 year olds) in this year from US Census data for this state. | 499453 |
| Population.26+ | Integer | Estimated population for this age group (26 years old or older) in this year from US Census data for this state. | 2812905 |
| Totals.Alcohol.Use Disorder Past Year.12-17 | Integer | The estimated number of people (in thousands) that have a use disorder on alcohol in the past year among this age group. | 18 |
| Totals.Alcohol.Use Disorder Past Year.18-25 | Integer | The estimated number of people (in thousands) that have a use disorder on alcohol in the past year among this age group. | 68 |
| Totals.Alcohol.Use Disorder Past Year.26+ | Integer | The estimated number of people (in thousands) that have a use disorder on alcohol in the past year among this age group. | 138 |
| Rates.Alcohol.Use Disorder Past Year.12-17 | Float | Percentage of the population that has a use disorder on alcohol in the past year among this age group. | 0.048336 |
| Rates.Alcohol.Use Disorder Past Year.18-25 | Float | Percentage of the population that has a use disorder on alcohol in the past year among this age group. | 0.13649 |
| Rates.Alcohol.Use Disorder Past Year.26+ | Float | Percentage of the population that has a use disorder on alcohol in the past year among this age group. | 0.049068 |
| Totals.Alcohol.Use Past Month.12-17 | Integer | The estimated number of people (in thousands) that have used alcohol in the past month, among this age group. | 57 |
| Totals.Alcohol.Use Past Month.18-25 | Integer | The estimated number of people (in thousands) that have used alcohol in the past month, among this age group. | 254 |
| Totals.Alcohol.Use Past Month.26+ | Integer | The estimated number of people (in thousands) that have used alcohol in the past month, among this age group. | 1048 |
| Rates.Alcohol.Use Past Month.12-17 | Float | Percentage of the population that has used alcohol in the past month, among this age group. | 0.150033 |
| Rates.Alcohol.Use Past Month.18-25 | Float | Percentage of the population that has used alcohol in the past month, among this age group. | 0.509551 |
| Rates.Alcohol.Use Past Month.26+ | Float | Percentage of the population that has used alcohol in the past month, among this age group. | 0.372703 |
| Totals.Tobacco.Cigarette Past Month.12-17 | Integer | The estimated number of people (in thousands) that have used Cigarettes in the past month, among this age group. | 52 |
| Totals.Tobacco.Cigarette Past Month.18-25 | Integer | The estimated number of people (in thousands) that have used Cigarettes in the past month, among this age group. | 196 |
| Totals.Tobacco.Cigarette Past Month.26+ | Integer | The estimated number of people (in thousands) that have used Cigarettes in the past month, among this... |
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Illicit Drug Use reports an estimated average percent of people who consumed illicit substances by type of use and by age range. Illicit drugs include marijuana or hashish (unless otherwise specified as 'Not Including Marijuana'), cocaine (including crack), heroin, hallucinogens (including phencyclidine [PCP], lysergic acid diethylamide [LSD], and Ecstasy [MDMA]), inhalants, or prescription-type psychotherapeutics used nonmedically, which include pain relievers, tranquilizers, stimulants, and sedatives, but does not include GHB (gamma hydroxybutyrate), Adderall, Ambien, nonprescription cough or cold medicines, ketamine, DMT (dimethyltryptamine), AMT (alpha-methyltryptamine), 5-MeO-DIPT (N, N-diisopropyl-5-methoxytryptamine, also known as 'Foxy'), and Salvia divinorum. Dependence is defined consistent with the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) definition as:Spending a lot of time engaging in activities related to substance useUsing a substance in greater quantities or for a longer time than intended. Developing tolerance (i.e., needing to use the substance more than before to get desired effects or noticing that the same amount of substance use had less effect than before)Making unsuccessful attempts to cut down on useContinuing substance use despite physical health or emotional problems associated with substance useReducing or eliminating participation in other activities because of substance useExperiencing withdrawal symptomsSimilarly, Abuse is also defined consistent with the DSM-IV definition as the following lifestyle symptoms due to the use of illicit drugs in the past 12 months: Experiencing problems at work, home, and schoolDoing something physically dangerousExperiencing Repeated trouble with the law
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TwitterThe National Survey on Drug Use and Health (NSDUH) provides national and state-level data on the use of tobacco, alcohol, illicit drugs (including non-medical use of prescription drugs) and mental health in the United States. This annual survey involves interviews with approximately 70,000 randomly selected individuals aged 12 and older. NSDUH is sponsored by the Substance Abuse and Mental Health Services Administration (SAMHSA), an agency of the U.S. Public Health Service in the U.S. Department of Health and Human Services (DHHS).
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TwitterThis 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 psychotherapeutics. Respondents were also asked about substance abuse treatment history, illegal activities, problems resulting from the use of drugs, personal and family income sources and amounts, need for treatment for drug or alcohol use, criminal record, and needle-sharing. Questions on mental health and access to care, which were introduced in the 1994-B questionnaire (see NATIONAL HOUSEHOLD SURVEY ON DRUG ABUSE, 1994), were retained in this administration of the survey. In 1996, the section on risk/availability of drugs was reintroduced, and sections on driving behavior and personal behavior were added. Demographic data include sex, race, age, ethnicity, marital status, educational level, job status, income level, veteran status, and current household composition. This study has 1 Data Set.
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TwitterThe Drug Abuse Warning Network (DAWN) survey is designed to capture data on emergency department (ED) episodes that are induced by or related to the use of an illicit, prescription, or over-the-counter drug. For purposes of this collection, a drug "episode" is an ED visit that was induced by or related to the use of an illegal drug or the nonmedical use of a legal drug for patients aged six years and older. A drug "mention" refers to a substance that was mentioned during a drug-related ED episode. Because up to four drugs can be reported for each drug abuse episode, there are more mentions than episodes in the data. Individual persons may also be included more than once in the data. Within each facility participating in DAWN, a designated reporter, usually a member of the emergency department or medical records staff, was responsible for identifying drug-related episodes and recording and submitting data on each case. An episode report was submitted for each patient visiting a DAWN emergency department whose presenting problem(s) was/were related to their own drug use. DAWN produces estimates of drug-related emergency department visits for 50 specific drugs, drug categories, or combinations of drugs, including the following: acetaminophen, alcohol in combination with other drugs, alprazolam, amitriptyline, amphetamines, aspirin, cocaine, codeine, diazepam, diphenhydramine, fluoxetine, heroin/morphine, inhalants/solvents/aerosols, LSD, lorazepam, marijuana/hashish, methadone, methamphetamine, and PCP/PCP in combination with other drugs. The use of alcohol alone is not reported. The route of administration and form of drug used (e.g., powder, tablet, liquid) are included for each drug. Data collected for DAWN also include drug use motive and total drug mentions in the episode, as well as race, age, patient disposition, reason for ED visit, and day of the week, quarter, and year of episode.This study has 1 Data Set.
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Cocaine Use reports the estimated average percent of individuals who consumed cocaine in the past year by age range. These data are collected by the Substance Abuse and Mental Health Services Administration (SAMHSA) as part of the National Survey on Drug Use and Health (NSDUH) Substate Region Estimates by Age Group. This survey is conducted on a representative sample of U.S. civilian, non-institutionalized people ages 12 and older. Data are available for the state of Connecticut, substate regions within Connecticut, the Northeast region of the United States, and the Total United States.
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TwitterThe 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 2007 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. Background information includes sex, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition. This study has 1 Data Set.
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Curated U.S. statistics on substance use and overdose, grouped by drug category for quick comparison (NSDUH 2024; CDC WONDER 2023; CDC MMWR 2025; TFAH 2025).
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TwitterDatabase of the nation''s substance abuse and mental health research data providing public use data files, file documentation, and access to restricted-use data files to support a better understanding of this critical area of public health. The goal is to increase the use of the data to most accurately understand and assess substance abuse and mental health problems and the impact of related treatment systems. The data include the U.S. general and special populations, annual series, and designs that produce nationally representative estimates. Some of the data acquired and archived have never before been publicly distributed. Each collection includes survey instruments (when provided), a bibliography of related literature, and related Web site links. All data may be downloaded free of charge in SPSS, SAS, STATA, and ASCII formats and most studies are available for use with the online data analysis system. This system allows users to conduct analyses ranging from cross-tabulation to regression without downloading data or relying on other software. Another feature, Quick Tables, provides the ability to select variables from drop down menus to produce cross-tabulations and graphs that may be customized and cut and pasted into documents. Documentation files, such as codebooks and questionnaires, can be downloaded and viewed online.
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Perception of Great Risk of Drug Use reports an estimated average percent of people who perceived great risk to themselves, physical or otherwise, when consuming certain drugs at various levels of frequency. These data are collected by the Substance Abuse and Mental Health Services Administration (SAMHSA) as part of the National Survey on Drug Use and Health (NSDUH) Substate Region Estimates by Age Group. This survey is conducted on a representative sample of U.S. civilian, non-institutionalized people ages 12 and older. Data are available for the state of Connecticut, substate regions within Connecticut, the Northeast region of the United States, and the Total United States.
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The Opioid Epidemic is entering a new phase, having intensified during the Coronavirus Pandemic, with overdose deaths rising as job losses and stress from Covid-19 destabilize people struggling with addiction. https://www.wsj.com/articles/the-opioid-crisis-already-serious-has-intensified-during-coronavirus-pandemic-11599557401
Previously the overdose rate had steadied and even dipped throughout 2018 and early 2019, before resuming its rapid climb during the pandemic. The Opioid Epidemic began with the over-prescription of painkillers in the 1990s, but we are continuing to get increased overdose deaths even as different jurisdictions have had success in reducing the amount of opioid prescriptions.
Now is the time to launch a new dataset capturing data throughout 2020 and 2021. The hope is to seek to understand what the trends are, where they are located geographically and what factors (or "features") have impacted these trends.
These data come from a Vital Statistics Rapid Release (VSRR) from the National Vital Statistics System (NVSS) at the National Center for Health Statistics (NCHS) at the Centers for Disease Control and Preventions (CDC). I will continue to update this data set as new information is released from the National Vital Statistics System. I will also continue to update either this dataset with new features, or create new datasets with new features, as Data Science Analysis reveals more about the causes of the epidemic. https://www.cdc.gov/nchs/nvss/vsrr/drug-overdose-data.htm
This is something I'm passionate about and I hope you will join me in seeking to deepen our understanding of the causes of the epidemic through the use of Data Science and Machine Learning.
Edit: I have updated the CSV file to change one of the columns from 'object' to 'float' to make it easier to work with.
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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.
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The National Survey on Drug Use and Health (NSDUH) is the "leading source of statistical information on the use of illicit drugs, alcohol, and tobacco and mental health issues in the United States" (SAMHSA). The abundance of Yes/No questions regarding the usage of illicit drugs make this dataset valuable for binary classification problems. During 2015, the survey received a partial redesign, creating "broken trends" from pre-2015 and post-2015. This is dataset contains every year of the NSDUH survey after the major restructuring in 2015.
All column names are identical to the Question Index found in the NSDUH documentation. The values in each column are codes that correspond to a particular answer in the survey. You can reference each question's meaning in the documentation, found here. Be sure to account for these codes before performing any analyses.
Additionally, some questions are not asked across ALL years, and will instead have an NA value.
All of the data used to create this dataset was obtained from the Substance Abuse & Mental Health Data Archive. You can access the data for separate years here.
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TwitterThis file includes data from the 2002 through 2009 National Survey on Drug Use and Health (NSDUH) survey. The only variables included in the 8-year 2002-2009 data file are ones that were collected in a comparable manner across all 8 years.
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 sex, 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.
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TwitterThe 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 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 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. National Survey on Drug Use and Health, 2002 (ICPSR 3903): http://www.icpsr.umich.edu/icpsrweb/ICPSR/series/64/studies/3903?archive=ICPSR&sortBy=7National Survey on Drug Use and Health, 2003 (ICPSR 4138): http://www.icpsr.umich.edu/icpsrweb/ICPSR/series/64/studies/4138?archive=ICPSR&sortBy=7
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Government Websites: Many government health departments or agencies collect data on drug use among students. For example, the National Institute on Drug Abuse (NIDA) in the United States often conducts surveys and publishes reports on drug use among various demographics, including students.
Research Institutions: Universities and research institutions often conduct studies on drug addiction, including among student populations. These studies may include survey data, clinical data, or experimental data.
Public Health Organizations: Organizations like the World Health Organization (WHO) may also collect and publish data on drug addiction among students on a global scale.
Online Data Repositories: Websites like Kaggle, UCI Machine Learning Repository, or Data.gov sometimes host datasets related to drug addiction and student populations.
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TwitterThe 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 2015 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.
Beginning with the 2009 NSDUH, however, all of the adults in the sample received only the WHODAS questions. Background information includes sex, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition. This study has 1 Data Set.
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The goal of the Arrestee Drug Abuse Monitoring (ADAM) Program is to determine the extent and correlates of illicit drug use in the population of booked arrestees in local areas. Data were collected in 2001 at four separate times (quarterly) during the year in 33 metropolitan areas in the United States. The ADAM program adopted a new instrument in 2000 in adult booking facilities for male (Part 1) and female (Part 2) arrestees. Data from arrestees in juvenile detention facilities (Part 3) continued to use the juvenile instrument from previous years, extending back through the DRUG USE FORECASTING series (ICPSR 9477). The ADAM program in 2001 also continued the use of probability-based sampling for male arrestees in adult facilities, which was initiated in 2000. Therefore, the male adult sample includes weights, generated through post-sampling stratification of the data. For the adult files, variables fell into one of eight categories: (1) demographic data on each arrestee, (2) ADAM facesheet (records-based) data, (3) data on disposition of the case, including accession to a verbal consent script, (4) calendar of admissions to substance abuse and mental health treatment programs, (5) data on alcohol and drug use, abuse, and dependence (6) drug acquisition data covering the five most commonly used illicit drugs, (7) urine test results, and (8) weights. The juvenile file contains demographic variables and arrestee's self-reported past and continued use of 15 drugs, as well as other drug-related behaviors.
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Following on from my datasets on Drug Overdose deaths in the United States, https://www.kaggle.com/craigchilvers/opioids-vssr-provisional-drug-overdose-statistics and https://www.kaggle.com/craigchilvers/opioids-in-the-us-cdc-drug-overdose-deaths, here is a dataset on non-fatal overdoses. It is broken down by age and gender, and also by State. There are also breakdowns into overall drug overdoses, heroin overdoses, opioid overdoses and stimulant overdoses.
This data set is good for tracking progress or deterioration in states over time, especially through choropleth graphs.
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TwitterThe 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. Detailed NSDUH 2008 documentation http://www.samhsa.gov/data/2k12/NSDUH2008MRB/Index.aspx is available from SAMHSA. 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 2008 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 this 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. A split-sample design also was included to administer separate sets of questions to assess impairment due to mental health problems. Background information includes sex, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition. This study has 1 Data Set.
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This dataset is about substance abuse (cigarettes, marijuana, cocaine, alcohol) among different age groups and states. Data was collected from individual states as part of the NSDUH study. The data ranges from 2002 to 2018. Both totals (in thousands of people) and rates (as a percentage of the population) are given.
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| Key | List of... | Comment | Example Value |
|---|---|---|---|
| State | String | The state that this report was created for. | "Alabama" |
| Year | Integer | The year that this report was created for. | 2002 |
| Population.12-17 | Integer | Estimated population for this age group (12 to 17 year olds) in this year from US Census data for this state. | 380805 |
| Population.18-25 | Integer | Estimated population for this age group (18 to 25 year olds) in this year from US Census data for this state. | 499453 |
| Population.26+ | Integer | Estimated population for this age group (26 years old or older) in this year from US Census data for this state. | 2812905 |
| Totals.Alcohol.Use Disorder Past Year.12-17 | Integer | The estimated number of people (in thousands) that have a use disorder on alcohol in the past year among this age group. | 18 |
| Totals.Alcohol.Use Disorder Past Year.18-25 | Integer | The estimated number of people (in thousands) that have a use disorder on alcohol in the past year among this age group. | 68 |
| Totals.Alcohol.Use Disorder Past Year.26+ | Integer | The estimated number of people (in thousands) that have a use disorder on alcohol in the past year among this age group. | 138 |
| Rates.Alcohol.Use Disorder Past Year.12-17 | Float | Percentage of the population that has a use disorder on alcohol in the past year among this age group. | 0.048336 |
| Rates.Alcohol.Use Disorder Past Year.18-25 | Float | Percentage of the population that has a use disorder on alcohol in the past year among this age group. | 0.13649 |
| Rates.Alcohol.Use Disorder Past Year.26+ | Float | Percentage of the population that has a use disorder on alcohol in the past year among this age group. | 0.049068 |
| Totals.Alcohol.Use Past Month.12-17 | Integer | The estimated number of people (in thousands) that have used alcohol in the past month, among this age group. | 57 |
| Totals.Alcohol.Use Past Month.18-25 | Integer | The estimated number of people (in thousands) that have used alcohol in the past month, among this age group. | 254 |
| Totals.Alcohol.Use Past Month.26+ | Integer | The estimated number of people (in thousands) that have used alcohol in the past month, among this age group. | 1048 |
| Rates.Alcohol.Use Past Month.12-17 | Float | Percentage of the population that has used alcohol in the past month, among this age group. | 0.150033 |
| Rates.Alcohol.Use Past Month.18-25 | Float | Percentage of the population that has used alcohol in the past month, among this age group. | 0.509551 |
| Rates.Alcohol.Use Past Month.26+ | Float | Percentage of the population that has used alcohol in the past month, among this age group. | 0.372703 |
| Totals.Tobacco.Cigarette Past Month.12-17 | Integer | The estimated number of people (in thousands) that have used Cigarettes in the past month, among this age group. | 52 |
| Totals.Tobacco.Cigarette Past Month.18-25 | Integer | The estimated number of people (in thousands) that have used Cigarettes in the past month, among this age group. | 196 |
| Totals.Tobacco.Cigarette Past Month.26+ | Integer | The estimated number of people (in thousands) that have used Cigarettes in the past month, among this... |