Published on 01 January 2020 |
National Drug Strategy Household Survey, 2019
View DatasetDescription
The 2019 National Drug Strategy Household Survey was conducted between April and September of 2019 and examines current awareness of attitudes and behaviours toward drugs and drug problems within the Australian community, focussing on respondents' personal attitudes toward drugs, knowledge of drugs and drug histories. </br></br>The survey included questions regarding respondents' personal drug and alcohol experience and behaviour, opinions on drug policy and legislation, availability of drugs and alcohol, injury and harm from drugs and alcohol, and attitudes towards the use of alcohol and other drugs. The drugs covered included: tobacco/cigarettes, alcohol, pain-killers/pain-relievers and opioids, tranquillisers, heroin, methadone, inhalants, ketamine, GHB, ecstasy, hallucinogens, cocaine, meth/amphetamines, cannabis/marijuana, synthetic cannabis, other psychoactive substances, and steroids. </br></br>Demographic and background variables included: state of residence, age, sex, marital status, self-assessed health status, sexuality, Indigenous status, country of birth, language spoken at home, employment status, occupation, level of education, income, index of socio-economic advantage and disadvantage, remoteness area and household composition.
Citations (6)
- https://doi.org/10.1080/10826084.2025.2540937DataCite OpenAlex
Cited on 02 August 2025
Weight: 1.59
- https://doi.org/10.1093/ije/dyaf038DataCite MDC OpenAlex
Cited on 01 April 2025
Weight: 1.59
- https://doi.org/10.1111/dar.13865OpenAlex
Cited on 20 May 2024
Weight: 1.53
- https://doi.org/10.1108/jcm-12-2020-4297DataCite OpenAlex
Cited on 05 August 2022
Weight: 1.36
- https://doi.org/10.2486/indhealth.2021-0159MDC OpenAlex
Cited on 15 February 2022
Weight: 1.36
- https://doi.org/10.25816/e42p-a447DataCite
Cited on 16 July 2020
Weight: 1.00
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Publication Details
Subfield
Clinical Psychology
Field
Psychology
Domain
Social Sciences
Confidence Score
63%
Source
Scholar Data Model