This short report uses data from the 2010 and 2011 National Surveys on Drug Use and Health (NSDUHs), the 2010 Treatment Episode Data Set (TEDS), the 2010 National Survey of Substance Abuse Treatment Services (N-SSATS), and the 2011 Drug Abuse Warning Network (DAWN) to present facts about adolescent substance use, including information on the initiation of substance use, past year substance use, emergency department visits, and receipt of substance use treatment.

This report presents facts about substance use among adults age 65 and older, including information on substance use on an average day, receipt of substance use treatment, and emergency department (ED) visits. This paper draws upon three SAMHSA data collections: the National Survey on Drug Use and Health (NSDUH), the Treatment Episode Data Set (TEDS), and the Drug Abuse Warning Network (DAWN).

This report contains results from the latest survey of secondary school pupils in England in years 7 to 11 (mostly aged 11 to 15), focusing on smoking, drinking and drug use. It covers a range of topics including prevalence, habits, attitudes, and wellbeing. This survey is usually run every two years, however, due to the impact that the Covid pandemic had on school opening and attendance, it was not possible to run the survey as initially planned in 2020; instead it was delivered in the 2021 school year. In 2021 additional questions were also included relating to the impact of Covid. They covered how pupil's took part in school learning in the last school year (September 2020 to July 2021), and how often pupil's met other people outside of school and home. Results of analysis covering these questions have been presented within parts of the report and associated data tables. It includes this summary report showing key findings, excel tables with more detailed outcomes, technical appendices and a data quality statement. An anonymised record level file of the underlying data on which users can carry out their own analysis will be made available via the UK Data Service later in 2022 (see link below).

Curated U.S. statistics grouped by drug category (alcohol, opioids, stimulants, cocaine, benzodiazepines, nicotine) with overdose context and treatment access indicators.

This statistical report presents a range of information on drug use by adults and children drawn together from a variety of sources. It focuses on England only where possible although some statistics are only readily available at GB or UK level or for England and Wales combined. Some of this is new information whilst some has been published previously. More detail can be found in the source publications which contain a wider range of data and analysis.

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.

Contains a set of data tables for each part of the Smoking, Drinking and Drug Use among Young People in England, 2021 report

Marijuana is by far the most used illicit drug in the United States, with over 64 million people using this drug in 2024. The second most used drug at that time was cocaine, followed by methamphetamine and ecstasy. The United States has had a complicated history with drugs, from fighting a “War on Drugs” starting in the 1970s, to seeing the legalisation of marijuana in many states, and experiencing an ongoing nationwide opioid overdose epidemic. Recreational marijuana Although marijuana is still illegal under federal law, 21 states have legalized the recreational use of marijuana. This legalization has opened a new and thriving market in these states. It is estimated that sales of legal cannabis will reach around 25 billion U.S. dollars by the year 2025. Although support for the legalization of marijuana has not always been strong, now around 68 percent of U.S. adults believe it should be made legal. The opioid epidemic The opioid epidemic describes a rise in overdose deaths in the U.S. due to prescription opioids, heroin, and illegally manufactured synthetic opioids such as fentanyl. The epidemic stems from misleading information from pharmaceutical companies concerning the dangers of opioids such as oxycontin, overprescribing of opioids from physicians, and an influx of easily accessible heroin and highly potent synthetic opioids. In 2022, there were around 81,806 deaths from opioid overdose in the United States.

The National Survey on Drug Use and Health (NSDUH) series (formerly titled National Household Survey on Drug Abuse) primarily measures the prevalence and correlates of drug use in the United States. The surveys are designed to provide quarterly, as well as annual, estimates. Information is provided on the use of illicit drugs, alcohol, and tobacco among members of United States households aged 12 and older. Questions included age at first use as well as lifetime, annual, and past-month usage for the following drug classes: marijuana, cocaine (and crack), hallucinogens, heroin, inhalants, alcohol, tobacco, and nonmedical use of prescription drugs, including pain relievers, tranquilizers, stimulants, and sedatives. The survey covered substance abuse treatment history and perceived need for treatment, and included questions from the Diagnostic and Statistical Manual (DSM) of Mental Disorders that allow diagnostic criteria to be applied. The survey included questions concerning treatment for both substance abuse and mental health related disorders. Respondents were also asked about personal and family income sources and amounts, health care access and coverage, illegal activities and arrest record, problems resulting from the use of drugs, and needle-sharing. Questions introduced in previous administrations were retained in the 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.

Abstract The National Survey on Drug Use and Health (NSDUH) and the Arrestee Drug Abuse Monitoring (ADAM) Program provide information on alcohol and drug use by individuals who have recently been arrested. The studies differ in their target populations (civilian, noninstitutionalized individuals vs. arrestees in 39 sites recently booked into jails) and data collection methods. This study uses 2003 ADAM and 2002–2008 NSDUH data for adult males living in the 39 ADAM sites who reported a past year arrest and 2002–2008 Uniform Crime Reporting (UCR) data to examine how well NSDUH covers the arrestee population and to compare estimates of drug and alcohol use and substance abuse or dependence. In general, ADAM estimates of rates of self-reported drug use were higher. The magnitude of these differences cannot be accounted for by undercoverage in NSDUH. Other possible reasons for these differences and their implications for interpreting NSDUH and ADAM data are discussed.

These data examine the interrelationships among alcohol use, drug use, criminal violence, and domestic violence in a parolee population. More specifically, the data explore the contributions of parental substance abuse and domestic violence in prediction of parolee violence. The study also investigates the effects of drug and alcohol use on domestic violence for the parolee, the spouse, and the parents. The data were drawn from individual interviews conducted with parolees from the Buffalo, New York, area, half of whom were convicted of violent crimes and half of whom were convicted of nonviolent crimes. Interviews were also conducted with the spouses and partners of the parolees. In addition, data concerning the parolees' criminal histories were abstracted from arrest and parole records. Part 1, Demographic File 1, provides information on the demographic characteristics of offenders, arrests, convictions, and sentencing, institutional transfers, disciplinary reports, indications of psychiatric diagnosis or psychological disturbances, alcohol and drug use, criminal activity, and substance abuse while incarcerated. Part 2, Demographic File 2, includes the same variables as Part 1 (with the exception of information about psychiatric diagnoses, psychological disturbances, and disciplinary reports) for those individuals who declined to be interviewed and a random sample of those who could not be contacted. Part 3, the Interview File, contains information about childhood social histories (including sociodemographics, experience of family violence as a victim and as a witness, and parental drug and alcohol use), self-reported criminal histories, adult social histories (including data concerning violence in current relationships, and drug and alcohol use history), and information about the parolees' and spouses' discipline styles. The researchers discarded data on female parolees for the purposes of their analysis.

This short report uses 2011 to 2014 National Survey on Drug Use and Health (NSDUH) to assess substance initiation and substance use among part-time and full-time college students aged 18 to 22.

This issue of The CBHSQ Report presents facts about substance use among young adults, including initiation, receipt of treatment, and emergency department visits for substance use \

The Estonian Drug Treatment Database is a state register which is kept on the people who have started drug treatment. The Drug Treatment Database started its work on January 1, 2008.

Collection and processing of data on these people is necessary for getting an overview on occurrence of mental and behavioural disorders related to drug use, as well as for organising of relevant health services and planning of drug abuse preventive actions. Health care institutions holding a psychiatry authorization in Estonia present data to the database if they are turned to by a patient who is diagnosed with a mental and behavioural disorder due to drug use.

On the basis of the database's data, an annual overview is compiled, giving information about drug addicts who have turned to drug treatment in the previous calendar year, about the health service provided, the patients' socio-economic background, drug use and the related risk behaviour.

The data on the Drug Treatment Database are also submitted to the European Monitoring Centre for Drugs and Drug Addiction (EMCDDA) and United Nations Office on Drugs and Crime (UNODC).

For those interested in data on student drug addiction in 2024, several sources offer valuable datasets and statistics.

1. Kaggle Dataset: Kaggle hosts a specific dataset on student drug addiction. This dataset includes various attributes related to student demographics, substance use patterns, and associated behavioral factors. It's a useful resource for data analysis and machine learning projects focused on understanding drug addiction among students【5†source】.

2. National Survey on Drug Use and Health (NSDUH): This comprehensive survey provides detailed annual data on substance use and mental health across the United States, including among students. It covers a wide range of substances and demographic details, helping to track trends and the need for treatment services【6†source】【8†source】.

3. Monitoring the Future (MTF) Survey: Conducted by the National Institute on Drug Abuse (NIDA), this survey tracks drug and alcohol use and attitudes among American adolescents. It provides annual updates and is an excellent source for understanding trends in substance use among high school and college students【7†source】.

4. Australian Institute of Health and Welfare (AIHW): For those interested in a more global perspective, the AIHW offers data from the National Drug Strategy Household Survey, which includes information on youth and young adult drug use in Australia. This can be useful for comparative studies【10†source】.

For detailed datasets and further analysis, you can explore these resources directly:

• Kaggle Student Drugs Addiction Dataset
• NSDUH Data
• Monitoring the Future
• AIHW Drug Survey

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_1cbe2f472b02d8c597c7bbdba219f59c/view

National Survey on Drug Use and Health (NSDUH) for Years 2015-2019

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.

Column Descriptions

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.

Sources

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.

The global substance (drug) abuse treatment market size was estimated at USD 10.25 billion in 2021 and is predicted to surpass over USD 22.9 billion by 2030 and poised to reach at a CAGR of 8.49% during the forecast period 2022 to 2030.

The Arrestee Drug Abuse Monitoring (ADAM) Program/Drug Use Forecasting (DUF) Series is an expanded and redesigned version of the Drug Use Forecasting (DUF) program, which was upgraded methodologically and expanded to 35 cities in 1998. The redesign was fully implemented beginning in the first quarter of 2000 using new sampling procedures that improved the quality and generalizability of the data. The DUF program began in 1987 and was designed to estimate the prevalence of drug use among persons in the United States who are arrested and booked, and to detect changes in trends in drug use among this population. The DUF program was a nonexperimental survey of drug use among adult male and female arrestees. In addition to supplying information on self-reported drug use, arrestees also provide a urine specimen, which is screened for the presence of ten illicit drugs. Between 1987 and 1997 the DUF program collected information in 24 sites across the United States, although the number of data collection sites varied slightly from year to year. Data collection took place four times a year (once each calendar quarter) in each site and selection criteria and catchment areas (central city or county) varied from site to site. The original DUF interview instrument (used for the 1987-1994 data and part of the 1995 data) elicited information about the use of 22 drugs. A modified DUF interview instrument (used for part of the 1995 data and all of the 1996-1999 data) included detailed questions about each arrestee's use of 15 drugs. Juvenile data were added in 1991. The ADAM program, redesigned from the DUF program, moved to a probability-based sampling for the adult male population during 2000. The shift to sampling of the adult male population in 2000 required that all 35 sites move to a common catchment area, the county. The ADAM program also implemented a new and expanded adult instrument in the first quarter of 2000, which was used for both the male and female data. The term "arrestee" is used in the documentation, but because no identifying data are collected in the interview setting, the data represent numbers of arrests rather than an unduplicated count of persons arrested. Funding The National Institute of Justice (NIJ) initiated ADAM in 1998 to replace DUF. In 2007, the Office of National Drug Control Policy (ONDCP) initiated ADAM II.