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
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Number and percentage of people reporting cannabis use in the past three months by quarter, geography, gender, age, household population aged 15 years or older, Canada.

The National Survey on Drug Use and Health (NSDUH) Perceptions of Great Risk from Smoking Cigarettes Or Marijuana dataset includes perceptions of great risk percentage from smoking one or more packs of cigarettes per day among individuals aged 12 or older and perceptions of great risk percentage from smoking marijuana once a month by State and Substate Region: Percentages, Annual Averages Based on 2012, 2013, and 2014.

This table presents the 2008 to 2010 National Survey on Drug Use and Health (NSDUH) estimates of perceptions of great risk of having smoking marijuana once a month among those aged 12 or older by State and substate regions.

Introduction: Given the increased prevalence of cannabis use in Ireland and increase in cannabis potency, this study aimed to estimate the size of the potential population in Ireland that may be in need of cannabis treatment and the percentage of people with cannabis use disorder (CUD) who actually access treatment. We also compared the profile of those with CUD in the general population to those who receive treatment for their cannabis use to explore whether certain subgroups are more or less likely to enter treatment. Method: This was a retrospective, multi-source database study. Data were obtained from (1) Ireland’s 2014/2015 national general population survey (GPS) on drug use and (2) treatment data from the Irish National Drug Treatment Reporting System (NDTRS) for 2015. The profiles of GPS cases with CUD and NDTRS cases were compared using 2-sided t tests designed for independent samples. Results: The prevalence of last year cannabis use among adults aged 15 and older was 6.5% and the prevalence of CUD was 2.6%, representing 94,515 of the Irish population. A total of 4,761 cases entered treatment for problem cannabis use. NDTRS treatment cases were significantly more likely than GPS cases to be unemployed (63.7% vs. 26.6%) and have no or primary level only educational attainment (56.3% vs. 21.2%). Over half (53.3%) of NDTRS cases first used cannabis before the age of 15 years, compared to 14.7% of CUD cases in the population. Discussion/Conclusion: Our findings suggest that earlier users and those with more complex or disadvantaged lives are more likely to seek treatment. A broad population health approach that engages multiple sectors such as health, social welfare, and education is recommended to ensure that there is increased opportunity for people with CUD to be identified and signposted towards treatment.

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

This table presents the 2008 to 2010 National Survey on Drug Use and Health (NSDUH) estimates of past month marijuana use by those aged 12 or older by State and substate regions.

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).

The source of the headset is this. 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.

This table presents the 2008 to 2010 National Survey on Drug Use and Health (NSDUH) estimates of past year marijuana use by those aged 12 or older by State and substate regions.

This table presents the 2008 to 2010 National Survey on Drug Use and Health (NSDUH) estimates of past month illicit drug use other than marijuana by those aged 12 or older by State and substate regions.

BackgroundIndividuals with an Opioid Use Disorder (OUD) have increased rates of cannabis use in comparison to the general population. Research on the short- and long-term impacts of cannabis use in OUD patients has been inconclusive. A genetic component may contribute to cannabis cravings.AimsIdentify genetic variants associated with cannabis use through Genome-wide Association Study (GWAS) methods and investigate a Polygenic Risk Score (PRS). In addition, we aim to identify any sex differences in effect size for genetic variants reaching or nearing genome-wide significance in the GWAS.MethodsThe study outcomes of interest were: regular cannabis use (yes/no) (n = 2616), heaviness of cannabis use (n = 1293) and cannabis cravings (n = 836). Logistic and linear regressions were preformed, respectively, to test the association between genetic variants and each outcome, regular cannabis use and heaviness of cannabis use. GWAS summary statistics from a recent large meta-GWAS investigating cannabis use disorder were used to conduct PRS’s. Findings are limited to a European ancestry sample.ResultsNo genome-wide significant associations were found. Rs1813412 (chromosome 17) for regular cannabis use and rs62378502 (chromosome 5) for heaviness of cannabis use were approaching genome-wide significance. Both these SNPs were nominally significant (p

Background: Whilst cannabis is known to be toxic to brain function and brain development in many respects it is not known if its increasing availability is associated with the rising US autism rates, whether this contribution is sufficient to effect overall trends and if its effects persist after controlling for other major covariates.

Methods: Longitudinal epidemiological study using national autism census data from the US Department of Education Individuals with Disabilities Act (IDEA) 1991-2011 and nationally representative drug exposure (cigarettes, alcohol, analgesic, and cocaine abuse, and cannabis use monthly, daily and in pregnancy) datasets from National Survey of Drug Use and Health and US Census (income and ethnicity) and CDC Wonder population and birth data. Geotemporospatial and causal inference analysis conducted in R.

Results: 266,950 autistic of a population of 40,119,464 eight year olds 1994-2011. At the national level after adjustment daily cannabis use was significantly related (β-estimate=4.37 (95%C.I. 4.06-4.68), P<2.2x10-16) as was cannabis exposure in the first trimester of pregnancy (β-estimate=0.12 (0.08-0.16), P=1.7x10-12). At the state level following adjustment cannabis use was significant (from β-estimate=8.41 (3.08-13.74), P=0.002); after adjustment for varying cannabis exposure by ethnicity and other covariates (from β-estimate=10.88 (5.97-15.79), P=1.4x10-5). Cannabigerol (from β-estimate=-13.77 (-19.41—8.13), P = 1.8x10-6) and Δ9-tetrahydrocannabinol (from β-estimate=1.96 (0.88-3.04), P=4x10-4) were also significant. Geospatial state-level modelling showed an exponential relationship between ASMR and both Δ9-tetrahydrocannabinol and cannabigerol exposure; effect size calculations reflected this exponentiation. Exponential coefficients for the relationship between modelled ASMR and THC- and cannabigerol- exposure were 7.053 (6.39-7.71) and 185.334 (167.88-202.79; both P<2.0x10-7).

In inverse probability-weighted robust generalized linear models ethnic cannabis exposure (from β-estimate=3.64 (2.94-4.34), P=5.9x10-13) and cannabis independently (β-estimate=1.08 (0.63-1.54), P=2.9x10-5) were significant. High eValues in geospatial models indicated that uncontrolled confounding did not explain these findings. Therefore the demonstrated relationship satified the criteria of causal inference. Dichotomized legal status was geospatiotemporally linked with elevated ASMR.

Conclusions: Data show cannabis use is associated with ASMR, is powerful enough to affect overall trends, and persists after controlling for other major drug, socioeconomic, and ethnic-related covariates. Selected cannabinoids are exponentially associated with ASMR. The cannabis-autism relationship satisfies criteria of causal inference.

BackgroundIndividuals with an Opioid Use Disorder (OUD) have increased rates of cannabis use in comparison to the general population. Research on the short- and long-term impacts of cannabis use in OUD patients has been inconclusive. A genetic component may contribute to cannabis cravings.AimsIdentify genetic variants associated with cannabis use through Genome-wide Association Study (GWAS) methods and investigate a Polygenic Risk Score (PRS). In addition, we aim to identify any sex differences in effect size for genetic variants reaching or nearing genome-wide significance in the GWAS.MethodsThe study outcomes of interest were: regular cannabis use (yes/no) (n = 2616), heaviness of cannabis use (n = 1293) and cannabis cravings (n = 836). Logistic and linear regressions were preformed, respectively, to test the association between genetic variants and each outcome, regular cannabis use and heaviness of cannabis use. GWAS summary statistics from a recent large meta-GWAS investigating cannabis use disorder were used to conduct PRS’s. Findings are limited to a European ancestry sample.ResultsNo genome-wide significant associations were found. Rs1813412 (chromosome 17) for regular cannabis use and rs62378502 (chromosome 5) for heaviness of cannabis use were approaching genome-wide significance. Both these SNPs were nominally significant (p