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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This dataset contains synthetic but realistic data for a sample population of 3,000 individuals who are addicted to cigarettes and alcohol. It includes demographic information, behavioral health statistics, lifestyle indicators, and addiction patterns. This data is useful for machine learning models, data analysis, public health research, and educational purposes

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).

Content

Drug Use By Age

This directory contains data behind the story How Baby Boomers Get High. It covers 13 drugs across 17 age groups.

Source: National Survey on Drug Use and Health from the Substance Abuse and Mental Health Data Archive.

Context

This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using GitHub's API and Kaggle's API.

This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.

Cover photo by Eric Muhr on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

The Finnish Drinking Habits Survey 2016 charted alcohol use, use of other substances, drinking occasions, consumed quantities of alcohol, consequences of alcohol use and attitudes toward alcohol in Finland. Some questions also covered gambling. The Finnish Drinking Habits Surveys have been conducted in intervals of eight years beginning from 1968; FSD's holdings include datasets from 2008 and 2016. The data comprise three parts: the 'main data' collected with face-to-face interviews, background variables obtained from registers (gender and year of birth), and data collected with a self-administered drop-off questionnaire. Of the 2016 study, FSD's holdings also include separate datasets concerning drinking occasions and abstaining occasions (FSD3313 and FSD3314). First, the respondents' alcohol use and attitudes toward alcohol were charted with attitudinal statements regarding responsible alcohol use, getting intoxicated, and using alcohol in the presence of children. It was also charted which, if any, types of alcoholic drinks the respondents had consumed within the previous 12 months, at which age they consumed an alcoholic beverage for the first time, and at which age they were intoxicated for the first time. The data include a constructed variable b27 which defines the respondents as either alcohol users or non-drinkers. Alcohol consumption and motives for using alcohol were examined in detail. The respondents were asked to estimate how often they had consumed different quantities of alcohol within a period of one day during the previous 12 months. Questions also covered the type of drinks consumed, e.g. beer, cider, wine, and spirits. It was also charted how often the respondents drank beer or wine with meals, and how often they consumed enough alcohol to feel inebriated. Consequences of consuming alcohol were examined with questions pertaining to drinking problems, controlling consumption, reactions of the people around, and the respondents' own relationship with alcohol use. The relationship of non-drinkers with alcohol was also charted, as well as their reasons for not consuming alcohol. Attitudinal statements presented to the respondents concerned religious beliefs, health, principles, fears, wellbeing, and spending time and money. Questions were also asked regarding other people's attitudes toward the respondents' abstinence, and whether they had previously used alcohol. All respondents were asked whether they had brought or ordered alcoholic beverages from abroad during the previous 12 months, and how many liters. They were also asked questions regarding risks caused by alcohol use on health and other aspects of life as well as where they got their information on the health effects of alcohol. Consequences of other people's alcohol use were charted with regard to how often during the previous 12 months the respondents had been harassed or physically attacked by intoxicated people or otherwise felt threatened in public or private spaces. In addition, the respondents were asked to estimate whether any of their close relatives or acquaintances had problems with alcohol and to what extent their alcohol use had affected the respondents' lives during the previous year. One question group also covered gambling, gambling frequency and possible problems caused by gambling. With regard to health, the respondents were enquired about their state of health, loneliness, overall satisfaction with life, and close relationships with other people. The respondents' weight was also charted as well as cigarette, e-cigarette and snus use. The interview data also contain information regarding the duration, location and reliability of the responses. The additional questionnaire included the Alcohol Use Disorders Identification Test (AUDIT) as well as questions regarding the use of narcotic substances. The AUDIT measured, for instance, how often the respondents consumed alcoholic beverages and how many drinks, how often they could not stop drinking once they had started, how often they had failed to do what was normally expected because of drinking, or had feelings of guilt or remorse after drinking. It was also asked whether relatives or friends, doctors or other health workers had been concerned about their drinking or suggested cutting down on drinking. Questions were also asked concerning using medicinal drugs for non-medicinal purposes, poly drug use, and use of narcotic substances such as cannabis, amphetamine, methamphetamine, heroin, cocaine and ecstasy. The data also contain respondent-level aggregate variables on alcohol use concerning drinking frequency and annual consumption, such as Quantity-Frequency (QF) and Graduated Frequency (GF) measures. Background variables included gender, year of birth, marital status, education, economic activity and occupational status, socio-economic status, and household composition.

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

This report uses data from the Treatment Episode Data Set (TEDS) to examine treatment admission data in 2014, and trend data from 2004 to 2014, nationally, regionally (by the four Census regions and the nine Census divisions), and by state or jurisdiction. The report provides information on the demographic and substance abuse characteristics of admissions to treatment aged 12 and older for abuse of alcohol and/or drugs in facilities that report to individual state administrative data systems. It is important to note that values in charts, narrative lists, and percentage distributions are calculated using actual raw numbers and rounded for presentation in this report; calculations using rounded values may produce different results. For 2014, a total of 1,614,358 admissions aged 12 and older were reported to TEDS by 49 states, the District of Columbia, and Puerto Rico (South Carolina, which is in the South Atlantic Census division, did not report sufficient admissions for 2014)

BackgroundThe aim of this study was to investigate whether frequent drinking, use of drugs with addiction potential and the possible combination of frequent drinking and use of prescribed drugs with addiction potential were associated with all-cause mortality in older adults.MethodsWe used data from the Nord-Trøndelag Health Study (HUNT3 2006–08), a population-based study in Norway. A total of 11,545 (6,084 women) individuals 65 years and older at baseline participated. We assessed frequent drinking (≥ 4 days a week), occasional drinking (i.e. a few times a year), never drinking and non-drinking in the last year. Drugs with addiction potential were defined as at least one prescription of benzodiazepines, z-hypnotics or opioids during one year for a minimum of two consecutive years between 2005 and 2009. This information was drawn from the Norwegian Prescription Database. The main outcome was all-cause mortality with information drawn from the Norwegian Cause of Death Registry. Follow-up continued until death or latest at 31 December 2013. Logistic regression analyses were used to investigate all-cause mortality since date of study entry and exact age at time of death was unknown.ResultsThe adjusted logistic regression analyses showed that frequent drinking was not associated with all-cause mortality compared to occasional drinking. Men who reported to be never drinkers and non-drinkers in the last year had higher odds of mortality compared to those who drank occasionally. Use of prescribed drugs with addiction potential was associated with increased mortality in men, but not in women. No association was found between the possible combination of frequent drinking and use of prescribed drugs with addiction potential and mortality.ConclusionNeither frequent drinking nor the possible combination of frequent drinking and use of prescribed drugs with addiction potential were associated with all-cause mortality in older women and men. Use of prescribed drugs with addiction potential was associated with higher odds of mortality in men. This finding should lead to more caution in prescribing drugs with addiction potential to this group.

BackgroundAlcohol dependence (AD) remains one of the major public health concerns. Impulsivity plays a central role in the transfer from recreational alcohol use to dependence and relapse. White matter dysfunction has been implicated in alcohol addiction behaviors and impulsivity. However, little is known about the role of systematic striatal structural connections underlying the mechanism of impulsive traits in AD.MethodsIn our study, we used seed-based classification by probabilistic tractography with five target masks of striatal circuits to explore the differences in white matter integrity (fractional anisotropy, FA) in AD male patients (N = 51) and healthy controls (N = 27). We mainly explored the correlation between FA of the striatal circuits and impulsive traits (Barratt Impulsiveness Scale, BIS-11), and the mediation role of impulsivity in white matter integrity and the severity of alcohol dependence.ResultsCompared with healthy controls, AD showed much lower FA in the left and right striatum–supplementary motor area (SMA) and left striatum–amygdala. We also found the decreased FA of right striatum-vlPFC was correlated with higher impulsivity. Besides, the relationship between reduced FA of right striatum-vlPFC and severity of dependence could be mediated by impulsivity.ConclusionIn our study, we found disrupted white matter integrity in systematic striatal circuits in AD and the decreased FA of right striatum-vlPFC was correlated with higher impulsivity in AD. Our main findings provide evidence for reduced white matter integrity of systematic striatal circuits and the underlying mechanisms of impulsivity in male AD individuals.

Odds ratios for the associations between alcohol use disorders and sociodemographic characteristics and other mental disorders in the sample of lifetime drinkers and the sample of people who reported alcohol abuse and/or dependence disorders (AUD).

People with disabilities (PWD) are an overlooked health disparity population who routinely experience stigma, discrimination, ableism, and lower socioeconomic status. Barriers to health care are generally high for PWD, and despite over three decades of the Americans with Disabilities Act, many health care settings including addiction treatment are not fully accessible for PWD. The INROADS portfolio stems from two projects: (1) INROADS (NIDILRR 90DPGE0007) and (2) INROADS-Alcohol (NIAAA R01AA031236), each of which examine the intersection between substance use and risky use, addiction, disability, and addiction treatment services. Both studies focus on the broad population of PWD, as well as subpopulations such as those with vision or hearing impairments, mobility impairment or spinal cord injury, acquired brain injury including TBI, intellectual and developmental disabilities including those with autism, and serious mental illness. The original INROADS project, or Intersecting Research on Opioid Misuse, Addiction, and Disability Services, was a joint research program between Brandeis University’s Institute for Behavioral Health and its Lurie Institute for Disability Policy. It examined the intersection between addiction, disability, and service provision in an effort to address the rise of opioid use disorders (OUD) among people with disabilities. INROADS-A (INROADS-Alcohol) is an active joint research program between Brandeis University’s Institute for Behavioral Health and Boston University School of Public Health’s Department of Health Law, Policy and Management, which builds on the foundational INROADS research with a focus on alcohol use disorder. The original INROADS project laid a foundation for understanding the intersection of disability with opioid use disorder, and traumatic brain injury (TBI) with at-risk opioid use and consequences, and INROADS-A seeks to better understand alcohol use patterns, treatment needs, and alcohol use disorder (AUD) treatment access, quality and outcomes for people with disabilities.

This report uses data from the Treatment Episode Data Set (TEDS) to examine treatment admission data in 2015, and trend data from 2005 to 2015, nationally, regionally (by four Census regions and nine Census divisions), and by state or jurisdiction. The report provides information on the demographic and substance abuse characteristics of admissions to treatment aged 12 and older for abuse of alcohol and/or drugs in facilities that report to individual state administrative data systems. It is important to note that values in charts, narrative lists, and percentage distributions are calculated using actual raw numbers and rounded for presentation in this report; calculations using rounded values may produce different results. For 2015, a total of 1,537,025 admissions aged 12 and older were reported to TEDS by 45 states, the District of Columbia, and Puerto Rico (Georgia, Kansas, Oregon, Pennsylvania, and South Carolina did not report sufficient admissions for 2015 to be included in this report).

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Alcohol has historically, and continues to, hold an important role in social engagement and bonding for many. Social drinking or moderate alcohol consumption for many is pleasurable.

However, alcohol consumption – especially in excess – is linked to a number of negative outcomes: as a risk factor for diseases and health impacts, crime, road incidents, and, for some, alcohol dependence.

This topic page looks at the data on global patterns of alcohol consumption, patterns of drinking, beverage types, the prevalence of alcoholism, and consequences, including crime, mortality, and road incidents.

Related topics:

Data on other drug use can be found on our full topic page here.

Drug use disorders are often classified within the same category as mental health disorders — research and data on mental health can be found on our topic page here.

Support for alcohol dependency

At the end of this topic page, you will find additional resources and guidance if you, or someone you know, needs support in dealing with alcohol dependency.

Alcohol consumption across the world today This interactive map shows the annual average alcohol consumption of alcohol, expressed per person aged 15 years or older. To account for the differences in alcohol content of different alcoholic drinks (e.g., beer, wine, spirits), this is reported in liters of pure alcohol per year.

To make this average more understandable, we can express it in bottles of wine. Wine contains around 12% pure alcohol per volume1 so that one liter of wine contains 0.12 liters of pure alcohol. So, a value of 6 liters of pure alcohol per person per year is equivalent to 50 bottles of wine per year.

As the map shows, the average per capita alcohol consumption varies widely globally.

We see large geographical differences: Alcohol consumption across North Africa and the Middle East is particularly low — in many countries, close to zero. At the upper end of the scale, alcohol intake across Europe is higher.

Share of adults who drink alcohol This interactive map shows the share of adults who drink alcohol. This is given as the share of adults aged 15 years and older who have drunk alcohol within the previous year.

In many countries, the majority of adults drink some alcohol. Across Europe, for example, more than two-thirds do in most countries.

Again, the prevalence of drinking across North Africa and the Middle East is notably lower than elsewhere. Typically, 5 to 10 percent of adults across these regions drank in the preceding year, and in a number of countries, this was below 5 percent.

Alcohol consumption by sex When we look at gender differences, we see that in all countries, men are more likely to drink than women.

Data on the share who drink alcohol by gender and age group in the UK is available here.

Heavy drinking sessions Alcohol consumption – whilst a risk factor for a number of health outcomes – typically has the greatest negative impacts when consumed within heavy sessions.

This pattern of drinking is often termed 'binging,' where individuals consume large amounts of alcohol within a single session versus small quantities more frequently.

Heavy episodic drinking is defined as the proportion of adult drinkers who have had at least 60 grams or more of pure alcohol on at least one occasion in the past 30 days. An intake of 60 grams of pure alcohol is approximately equal to 6 standard alcoholic drinks.

The map shows heavy drinkers – those who had an episode of heavy drinking in the previous 30 days – as a share of total drinkers (i.e., those who have drunk less than one alcoholic drink in the last 12 months are excluded).

The comparison of this map with the previous maps makes clear that heavy drinking is not necessarily most common in the same countries where alcohol consumption is most common.

Data on the prevalence of binge drinking by age and gender in the UK can be found here, and trends in heavy and binge drinking in the USA can be found here.

Share of adults who don't drink alcohol Global trends on alcohol abstinence show a mirror image of drinking prevalence data. This is shown in the charts as the share of adults who had not drunk in the prior year and those who have never drunk alcohol.

Here, we see particularly high levels of alcohol abstinence across North Africa and the Middle East. In most countries in this region, the majority of adults have never drunk alcohol.

Global beer co...

Annual data on number of deaths, age-standardised death rates and median registration delays for local authorities in England and Wales.

This report presents results from the 2017 National Survey of Substance Abuse Treatment Services (N-SSATS), an annual census of facilities providing substance abuse treatment. Conducted by the Substance Abuse and Mental Health Services Administration (SAMHSA), N-SSATS is designed to collect data on the location, characteristics, and use of alcohol and drug abuse treatment facilities and services throughout the 50 states, the District of Columbia, and other jurisdictions. It is important to note that values in charts, narrative lists, and percentage distributions are calculated using actual raw numbers and rounded for presentation in this report; calculations using rounded values may produce different results.

This report presents results from the 2020 National Survey of Substance Abuse Treatment Services (N-SSATS), an annual census of facilities providing substance abuse treatment. Conducted by the Substance Abuse and Mental Health Services Administration (SAMHSA), N-SSATS is designed to collect data on the location, characteristics, and use of alcohol and drug abuse treatment facilities and services throughout the 50 states, the District of Columbia, and other jurisdictions. It is important to note that values in charts, narrative lists, and percentage distributions are calculated using actual raw numbers and rounded for presentation in this report; calculations using rounded values may produce different results.

Young Swiss Men and Substance Use Disorders

Examining Associations with Mental Health and Co-Occurring Addictions

By [source]

About this dataset

This dataset contains invaluable data from the C-SURF study on the associations between alcohol use disorder and mental health problems, as well as co-occurring addictions, among young Swiss men. This dataset can be used to understand how alcohol and drug use, mental health issues, and co-occurring addictions are interrelated in this population. Researchers can also use this valuable data to investigate the long-term effects of substance abuse and addiction in terms of their implications on health. This dataset provides a comprehensive insight into current substance abuse trends and mental health issues among young Swiss men that could prove beneficial for all related studies

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How to use the dataset

This dataset contains data from the C-SURF study and examines the associations between self-reported alcohol use disorder and mental health problems, in the context of co-occurring addictions, among young Swiss men. By using this dataset, researchers can gain insight into alcohol and drug use, mental health problems and co-occurring addictions among young Swiss men.

In order to make effective use of this dataset, it is important for you to understand how the data is structured and organized. The three main columns are Studer, Lemoine, and Grazioli indicating which manuscript each item relates to. These columns contain information about each individual’s demographics (e.g., age), their usage patterns (e.g., frequency of substance abuse) as well as their mental health status (e.g., diagnosis). To gain insights from this dataset you should focus on evaluating relationships between different variables such as age or gender with substance abuse or addiction disorders for example; looking at differences in prevalence across particular demographic groups or analyzing relationships between certain factors associated with long term effects on health outcomes such as depression or anxiety disorders.

Research Ideas

• Utilizing the data from this set to create an application that reminds young Swiss men of the potential harms from substance use and provides safe ways for them to cope with stressors.
• Using this dataset to research how socioeconomic factors and access to treatment options can influence alcohol and drug addiction among young Swiss men.
• Examining how mental health affects how people perceive their dependence on substances and identify healthier pathways for managing stressors in order to prevent abuse in the first place

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: Marmet2019PLosOne_Data.csv

File: Marmet2019PLosOne_codebook.csv

Acknowledgements

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

The purpose of this study was to determine whether the Lummi Nation's Community Mobilization Against Drugs (CMAD) Initiative successfully achieved its four stated goals, which were to reduce illicit drug trafficking, reduce rates of substance use disorder and addiction, prevent drug abuse and underage drinking among youth, and mobilize the community in all aspects of prevention, intervention, and suppression of alcohol and drug use, drug abuse, and drug trafficking. The study also aimed to evaluate whether the outcomes of the demonstration project had application for other tribal communities confronting similar public safety issues related to substance abuse. Qualitative information from focus group interviews was collected. Six focus groups were held with individuals representing the following populations: service providers, policy makers, adult clients and family members, youth, traditional tribal healers, and community members. In addition to the focus groups, the evaluation team conducted an interview session with two traditional providers who preferred this format. All focus groups were conducted on-site at Lummi by two trained moderators from the evaluation team. There were six different sets of questions, one for each group. Each set included 9 to 10 open-ended questions, which addressed knowledge and impact of the Community Mobilized Against Drugs (CMAD) Initiative; issues or problems with the Initiative; how the community viewed its actions; the importance and inclusion of a cultural perspective (traditional healers and others) in implementing various aspects of the CMAD Initiative; and how the Initiative had affected work and networking capabilities, policy making decisions, and/or treatment. Participants were also asked to think about what they would like CMAD to address and about their perceptions and definitions of some of the service barriers they may be experiencing (clients, community, and/or youth). All of the focus groups were openly audio taped with full knowledge and agreement of the participants.

This report presents results from the 2018 National Survey of Substance Abuse Treatment Services (N-SSATS), an annual census of facilities providing substance abuse treatment. Conducted by the Substance Abuse and Mental Health Services Administration (SAMHSA), N-SSATS is designed to collect data on the location, characteristics, and use of alcohol and drug abuse treatment facilities and services throughout the 50 states, the District of Columbia, and other jurisdictions. It is important to note that values in charts, narrative lists, and percentage distributions are calculated using actual raw numbers and rounded for presentation in this report; calculations using rounded values may produce different results.

This report presents results from the 2015 National Survey of Substance Abuse Treatment Services (N-SSATS), an annual census of facilities providing substance abuse treatment. Conducted by the Substance Abuse and Mental Health Services Administration (SAMHSA), N-SSATS is designed to collect data on the location, characteristics, and use of alcohol and drug abuse treatment facilities and services throughout the 50 states, the District of Columbia, and other U.S. jurisdictions. It is important to note that values in charts, narrative lists, and percentage distributions are calculated using actual raw numbers and rounded for presentation in this report; calculations using rounded values may produce different results.