6 datasets found
  1. Drug Use Data from Selected Hospitals

    • catalog.data.gov
    • data.virginia.gov
    • +3more
    Updated Feb 14, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). Drug Use Data from Selected Hospitals [Dataset]. https://catalog.data.gov/dataset/drug-use-data-from-selected-hospitals-26ee4
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    Dataset updated
    Feb 14, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    The National Hospital Care Survey (NHCS) collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. Settings currently include inpatient and emergency departments (ED). From this collection, the NHCS contributes data that may inform emerging national health threats such as the current opioid public health emergency. The 2022 - 2024 NHCS are not yet fully operational so it is important to note that the data presented here are preliminary and not nationally representative. The data are from 24 hospitals submitting inpatient and 23 hospitals submitting ED Uniform Bill (UB)-04 administrative claims from October 1, 2022–September 30, 2024. Even though the data are not nationally representative, they can provide insight into the use of opioids and other overdose drugs. The NHCS data is submitted from various types of hospitals (e.g., general/acute, children’s, etc.) and can show results from a variety of indicators related to drug use, such as overall drug use, comorbidities, and drug and polydrug overdose. NHCS data can also be used to report on patient conditions within the hospital over time.

  2. Number of fentanyl overdose deaths U.S. 1999-2022

    • statista.com
    Updated May 22, 2024
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    Statista (2024). Number of fentanyl overdose deaths U.S. 1999-2022 [Dataset]. https://www.statista.com/statistics/895945/fentanyl-overdose-deaths-us/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2022
    Area covered
    United States
    Description

    In 2022, around 73,838 people in the United States died from a drug overdose that involved fentanyl. This was the highest number of fentanyl overdose deaths ever recorded in the United States, and a significant increase from the number of deaths reported in 2019. Fentanyl overdoses are now the driving force behind the opioid epidemic, accounting for the majority of overdose deaths in the United States. What is fentanyl? Fentanyl is an extremely potent synthetic opioid similar to morphine, but more powerful. It is a prescription drug but is also manufactured illegally and is sometimes mixed with other illicit drugs such as heroin and cocaine, often without the user’s knowledge. The potency of fentanyl makes it very addictive and puts users at a high risk for overdose. Illegally manufactured fentanyl has become more prevalent in the United States in recent years, leading to a huge increase in drug overdose deaths. In 2022, the rate of drug overdose death involving fentanyl was 22.7 per 100,000 population, compared to a rate of just one per 100,000 population in the year 2013. Fentanyl overdoses by gender and race/ethnicity As of 2022, the rate of drug overdose deaths involving fentanyl in the United States is over two times higher among men than women. Rates of overdose death involving fentanyl were low for both men and women until around the year 2014 when they began to quickly increase, especially for men. In 2022, there were around 19,880 drug overdose deaths among women that involved fentanyl compared to 53,958 such deaths among men. At that time, the rate of fentanyl overdose deaths was highest among non-Hispanic American Indian or Alaska Natives and lowest among non-Hispanic Asians. However, from the years 2014 to 2018, non-Hispanic whites had the highest fentanyl overdose death rates.

  3. D

    DQS Use of selected substances in the past 30 days among 12th graders, 10th...

    • data.cdc.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Mar 17, 2025
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    NCHS/Division of Analysis and Epidemiology (2025). DQS Use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders, by sex and race: United States [Dataset]. https://data.cdc.gov/NCHS/DQS-Use-of-selected-substances-in-the-past-30-days/4kn2-jirk
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    csv, xml, application/rdfxml, application/rssxml, json, tsvAvailable download formats
    Dataset updated
    Mar 17, 2025
    Dataset authored and provided by
    NCHS/Division of Analysis and Epidemiology
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Area covered
    United States
    Description

    Data on use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders in the United States, by sex and race. Data are from Health, United States. Source: Monitoring the Future, Institute for Social Research, University of Michigan, supported by National Institutes of Health, National Institute on Drug Abuse. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

  4. DQS Prescription drug use in the past 30 days, by sex, race and Hispanic...

    • data.virginia.gov
    • healthdata.gov
    • +1more
    csv, json, rdf, xsl
    Updated Feb 5, 2025
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    Centers for Disease Control and Prevention (2025). DQS Prescription drug use in the past 30 days, by sex, race and Hispanic origin, and age group: United States [Dataset]. https://data.virginia.gov/dataset/dqs-prescription-drug-use-in-the-past-30-days-by-sex-race-and-hispanic-origin-and-age-group-uni
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    csv, rdf, json, xslAvailable download formats
    Dataset updated
    Feb 5, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    Data on prescription drug use in the past 30 days in the United States, by sex, race and Hispanic origin, and age group. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination Survey. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

  5. CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air

    • data.wu.ac.at
    csv, json, xml
    Updated May 4, 2015
    + more versions
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    Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health (2015). CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air [Dataset]. https://data.wu.ac.at/schema/data_cdc_gov/d2FuOC13NGVy
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    csv, json, xmlAvailable download formats
    Dataset updated
    May 4, 2015
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    1995-2018. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation—Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.

  6. m

    Data from: Socioeconomic, Ethnocultural, Substance- and Cannabinoid- Related...

    • data.mendeley.com
    Updated Jul 4, 2020
    + more versions
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    Albert Reece (2020). Socioeconomic, Ethnocultural, Substance- and Cannabinoid- Related Epidemiology of Down Syndrome USA 1986-2016 Dataset: An Ecological Geotemporospatial and Causal Inference Investigation [Dataset]. http://doi.org/10.17632/tn46tdhc4c.1
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    Dataset updated
    Jul 4, 2020
    Authors
    Albert Reece
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Background. Downs syndrome (DS) is the commonest of the congenital genetic defects. Its incidence has been rising in recent years for unknown reasons. Objective. Investigate the relationship of DS to substance- and cannabinoid- exposure; and causality.

    Methods. Observational ecological population-based epidemiological study 1986-2016. Analysis performed January 2020. Geotemporospatial and causal inference analysis. Participants: Patients were diagnosed with DS and reported to state based registries; collated nationally. Data source: annual reports of National Birth Defects Prevention Network of Centres for Disease Control. Exposures: Drug exposure was taken from the National Survey of Drug Use and Health (NSDUH) conducted annually by Substance Abuse and Mental Health Services Administration. Nationally representative sample 67,000 participants annually. Drug exposures: cigarette consumption, alcohol abuse, analgesic/opioid abuse, cocaine use and last month cannabis use. Ethnicity and median household income: US Census Bureau. Maternal age of childbearing: CDC births registries. Cannabinoid concentrations: Drug Enforcement Agency seizures.

    Results. NSDUH report 74.1% mean annual response rate. All other data was population-wide. DS rate (DSR) was noted to be rising over time, cannabis use, and cannabis-use quintile. In the optimal geospatial model lagged to four years terms including Δ9-tetrahydrocannabinol and cannabigerol were significant (from β-est.=4189.96 (95%C.I. 1924.74, 6455.17), P=2.9x10-4). Ethnicity, income, and maternal age covariates were not significant. DSR in states where cannabis was not illegal was higher than elsewhere (β-est.=2.160 (1.5, 2.82), R.R.=1.81 (1.51, 2.16), P=4.7x10-10). In inverse probability-weighted mixed models terms including cannabinoids were significant (from β-estimate=18.82 (16.82, 20.82), P<0.0001). EValues in geospatial models ranged up to infinity.

    Conclusions. Our data show that the association between DSR and substance- and cannabinoid- exposure is robust to multivariable geotemporospatial adjustment, implicate particularly cannabigerol and Δ9-tetrahydrocannabinol, and fulfil causal crietria. Cannabis legalization was associated with elevated DSR’s. These findings are consistent with those from Hawaii, Colorado, Canada and Australia and concordant with several cellular mechanisms. Given that the cannabis industry is presently in a rapid growth-commercialization phase the present findings linking cannabis use with megabase scale genotoxicity suggest unrecognized DS risk factors, are of public health importance and suggest that re-focussing the cannabis debate on multigenerational and intergenerational health concerns is prudent.

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Centers for Disease Control and Prevention (2025). Drug Use Data from Selected Hospitals [Dataset]. https://catalog.data.gov/dataset/drug-use-data-from-selected-hospitals-26ee4
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Drug Use Data from Selected Hospitals

Explore at:
Dataset updated
Feb 14, 2025
Dataset provided by
Centers for Disease Control and Preventionhttp://www.cdc.gov/
Description

The National Hospital Care Survey (NHCS) collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. Settings currently include inpatient and emergency departments (ED). From this collection, the NHCS contributes data that may inform emerging national health threats such as the current opioid public health emergency. The 2022 - 2024 NHCS are not yet fully operational so it is important to note that the data presented here are preliminary and not nationally representative. The data are from 24 hospitals submitting inpatient and 23 hospitals submitting ED Uniform Bill (UB)-04 administrative claims from October 1, 2022–September 30, 2024. Even though the data are not nationally representative, they can provide insight into the use of opioids and other overdose drugs. The NHCS data is submitted from various types of hospitals (e.g., general/acute, children’s, etc.) and can show results from a variety of indicators related to drug use, such as overall drug use, comorbidities, and drug and polydrug overdose. NHCS data can also be used to report on patient conditions within the hospital over time.

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