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).

From 2023 to 2024, around 1.7 percent of college and university students who received mental health services had received treatment for drug and alcohol use. This statistic shows the percentage of college and university students in the U.S. who received mental health services and received treatment for alcohol or drug use from 2010 to 2024.

In Portugal, in 2023, approximately ***** drug treatment entrants were seeking treatment primarily due to the use of opioids. The use of cannabis was the cause of ***** treatment entrants.

The California Drug and Alcohol Treatment Assessment (CALDATA) was designed to study the costs, benefits, and effectiveness of the state's alcohol and drug treatment infrastructure (recovery services) and specifically to assess (1) the effects of treatment on participant behavior, (2) the costs of treatment, and (3) the economic value of treatment to society. Data were collected on participants (clients) across four types of treatment programs, or modalities: residential, residential "social model," nonmethadone outpatient, and outpatient methadone (detoxification and maintenance). Data were collected in two phases. In Phase 1, treatment records were abstracted for clients who received treatment or were discharged between October 1, 1991, and September 30, 1992. In Phase 2, these clients were located and recruited for a follow-up interview. The CALDATA design and procedures included elements from several national treatment outcome studies including the Drug Services Research Survey, Services Research Outcomes Study, National Treatment Improvement Evaluation Study, and Drug Abuse Treatment Outcome Study. The record abstract was designed to collect identifying and locating information for interview reference during the personal interviewing phase. The abstract also collected demographic, drug, or alcohol use, and treatment and service information. The follow-up questionnaire covered time periods before, during, and after treatment and focused on topics such as ethnic and educational background, drug and alcohol use, mental and physical health, HIV and AIDS status, drug testing, illegal activities and criminal status, living arrangements and family issues, employment and income, and treatment for drug, alcohol, and mental health problems. Drugs included alcohol, barbiturates, benzodiazepines, cocaine powder, crack, downers, hallucinogens, heroin, illegal methadone, inhalants, LSD, marijuana/hashish/THC, methamphetamines and other stimulants, narcotics, over-the-counter drugs, PCP, ritalin or preludin, and sedatives/hypnotics. CALDATA was originally known as the California Outcomes Study (COS).This study has 1 Data Set.

Database 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.

Provisional monthly performance figures for structured drug and alcohol treatment in England. These provisional statistics are produced on behalf of the NTA by the University of Manchester.

Source agency: National Treatment Agency

Designation: National Statistics

Language: English

Alternative title: Provisional Monthly Drug and Alcohol Treatment Statistics

This study examined the relationship between legal pressure and drug treatment retention by assessing perceptions of legal pressure held by two groups of legally-mandated treatment clients: (1) participants of the Drug Treatment Alternative to Prison (DTAP) program operated by the Kings County (Brooklyn) District Attorney in New York City, and (2) a matched group of probationers, parolees, Treatment Alternatives to Street Crime (TASC) participants, and other court-mandated offenders attending the same community-based treatment programs used by DTAP. The Brooklyn DTAP was selected for study because of the program's uniquely coercive program components, including the threat of a mandatory prison term for noncompliance. The goals of this project were (1) to test whether DTAP participants would show significantly higher retention rates when compared to a matched sample of other legally-mandated treatment clients, and (2) to assess the role of perceived legal pressure in predicting retention for both of these groups. Data were collected from program participants through interviews conducted at admission to treatment and follow-up interviews conducted about eight weeks later. Intake interviews were conducted, on average, one week after the client's admission to treatment. The one-to-one interviews, which lasted up to two hours, were administered by trained researchers in a private location at the treatment site. The intake interview battery included a mixture of standardized measures and those developed by the Vera Institute of Justice. Data in Part 1 were collected with the Addiction Severity Index and include age, sex, race, religion, and education. Additional variables cover medical problems, employment history, detailed substance abuse and treatment history, number of times arrested for various crimes, history of incarceration, family's substance abuse and criminal histories, relationships with family and friends, psychological problems such as depression, anxiety, and suicide, current living arrangements, and sources of income. Part 2, Supplemental Background and Retention Data, contains treatment entry date, number of days in treatment, age at treatment entry, termination date, treatment condition, arrest date, detention at arrest, date released on probation/parole, violation of probation/parole arrest date and location, problem drug, prior drug treatment, as well as age, gender, race, education, and marital status. Part 3, Division of Criminal Justice Services Data, includes data on the number of arrests before and after program entry, and number of total misdemeanor and felony arrests, convictions, and sentences. Part 4, Chemical Use, Abuse, and Dependence Data, contains information on type of substance abuse, intoxication or withdrawal at work, school, or home, effects of abuse on social, occupational, or recreational activities, and effects of abuse on relationships, health, emotions, and employment. Parts 5 and 6 contain psychiatric data gathered from the Symptom Checklist-90-Revised and Beck's Depression Inventory, respectively. Part 7 variables from the Circumstances, Motivation, Readiness, and Suitability scale include family's attitude toward treatment, subject's need for treatment, subject's desire to change life, and legal consequences if subject did not participate in treatment. Part 8, Stages of Change Readiness and Treatment Eagerness scale, contains data on how the subject viewed the drug problem, desire to change, and history of dealing with substance abuse. Part 9, Motivational/Program Supplement Data, includes variables on the subject's need for treatment, attitudes toward treatment sessions, the family's reaction to treatment, and a likelihood of completion rating. Part 10, Perceived Legal Coercion Data, gathered information on who referred the subject to the treatment program, who was keeping track of attendance, whether someone explained the rules of participation in the program and the consequences if the subject failed the program, whether the rules and consequences were put in writing, who monitored program participants, the likelihood of using drugs while in treatment, the likelihood of leaving the program before completion, whether the subject understood the legal consequences of failing the program, the type and frequency of reports and contacts with the criminal justice system, and the subject's reaction to various penalties for not completing the program. Part 11 contains data from the Community Oriented Programs Environment Scale (COPES). Part 12, Treatment Services Review Data, includes data on the number of times the subject received medical attention, days in school, days employed, days intoxicated, days in substance abuse treatment, days tested for drugs, number of contacts with the criminal justice system, days treated for psychological problems, and time spent at recreational activities. Additional variables include the number of individual and group treatment sessions spent discussing medical problems, education and employment, substance abuse, legal problems, and psychological and emotional problems.

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

In 2023, there were 17,561 substance abuse treatment facilities in the country, an increase from the year before. This statistic displays the total number of substance abuse treatment facilities in the United States from 2003 to 2022.

The National Registry for the Treatment of Drug Users (NRLUD) is a registry focused on the collection of data on patients entering and exiting addiction treatment, including contact, counseling and resocialization programs for drug users, i.e. data collection, verification, storage, protection and processing. This register provides summary data for statistical overviews at both national and international levels, as well as for epidemiological studies and health research. The data will be used in the creation of the drug policy and strategy of the Czech Republic and in the international context as well as in the EU.

The treatment request indicator is one of the five key indicators of drug epidemiology established by the European Monitoring Center for Drugs and Drug Addiction (hereafter EMCDDA), the collection of which is imposed on EU member states in Article 5 of Regulation (EC) No. 1920/2006 of the European Parliament and of the Council on December 12, 2006. The monitoring of treatment requests is part of the Drug Information System, the implementation of which is envisaged by a number of government resolutions on national drug policy strategies and their action plans, currently on the National Drug Policy Strategy for the period 2010–2018 and the action plan for the period 2010–2012. Treatment together with social reintegration and harm reduction, i.e. reducing the negative consequences of drug use, are two of the four pillars of the Czech anti-drug strategy. Without monitoring developments in the provision of treatment and specialized services to drug users, developments in these areas of drug policy cannot be monitored and evaluated.

Statistical unit of inquiry: A statistical unit is a person with problems caused by the use of addictive substances or a person addicted to them who entered or was included in a program aimed at counseling and addiction treatment carried out by treatment and counseling facilities.

This statistic describes a projection of the spending on retail prescription drug for substance use disorder treatments in the United States from 2009 to 2020. In 2009, the country expended some 900 million U.S. dollars on the treatment of substance abuse through retail prescription drugs.

The Residential Substance Abuse Treatment (RSAT) for State Prisoners Formula Grant Program, created by Title III (Subtitle U of the Violent Crime Control and Law Enforcement Act of 1994), was designed by Congress to implement residential substance abuse programs providing individual and group treatment for inmates in residential facilities operated by state and local correctional agencies. Under the Corrections Program Office of the Office of Justice Programs of the United States Department of Justice, state and local correctional agencies received funds to develop or enhance existing programs that: (1) lasted between six and 12 months, (2) provided residential treatment facilities set apart from the general correctional population, (3) were directed at the substance abuse problems of the inmate, (4) were intended to develop the inmate's cognitive, behavioral, social, vocational, and other skills in order to treat related problems as well as the substance abuse, and (5) continued to require urinalysis and/or other proven reliable forms of drug and alcohol testing of individuals assigned to treatment programs during and after release from residential custody. The National Development and Research Institutes, Inc. (NDRI) entered into a cooperative agreement with the National Institute of Justice wherein NDRI would evaluate the extent to which the goals of the RSAT program were being accomplished and the problems that were encountered by the participating states. The methods of this national evaluation were: (1) an initial state survey to ascertain the RSAT programs and program directors in each of the 50 states plus five territories and the District of Columbia and to collect basic information on the aggregate impact of the RSAT-funded programs in each state or territory (Part 1, State Data), (2) a follow-up state survey to collect more detailed information on the aggregate impact of the RSAT-funded programs in each state (Part 1, State Data), and (3) an initial program survey to describe the separate RSAT programs as they came on line and to assess whether a few of the programs might serve as model programs which could undergo subsequent intensive evaluation (Part 2, Program Data). The sampling method used was a census of all the existing RSAT-funded programs and all of the state RSAT officials. Part 1 variables include the amount of RSAT funds received by the state in fiscal years 1996 to 1998, amounts from other sources of funding, and amount spent on salaries, training, drug tests, other supplies, and facilities, as well as number of residents, number of staff, reasons why funding was delayed, RSAT award date, and RSAT end date. Part 2 variables include the number of clients in the program, number of beds available, number of staff by gender, race, age, education, profession, and years of experience, admission inclusion criteria, reporting procedures, treatment type and duration, type of drug testing and number of tests, annual budget, sources of funding, and cost per capita.

This 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.

This statistic displays the number of substance abuse treatment facilities in the United States by state as of 2020. During this period, there were 611 substance abuse treatment facilities located in North Carolina.

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 statistic displays the number of drug users entering specialized drug treatment services in Germany in 2022, by drug. In this year, the highest numbers in Germany were registered for cannabis users entering treatment, with approximately 23.2 thousand total entrants, of which almost 15 thousand were first-time entrants.