Current marijuana use among U.S. adults in 2022 was highest in Vermont, where around 34.37 percent of adults reported using marijuana within the past year. In recent years, a number of U.S. states, including Colorado and California, have legalized the sale of marijuana for recreational use. In 2022, around 132 million people in the United States reported that they had used marijuana at least once in their lifetime.

Consumer behavior Starting around 2013, the majority of U.S. adults now say they are in favor of legalizing marijuana in the United States. The share of adults who were in favor of legalization has continued to increase over the years. As of 2021, about 68 percent of U.S. adults aged 18 and older were in favor of legalization. Legal sales of marijuana reached 16.5 billion U.S. dollars in 2021, and are expected to increase to around 37 billion dollars by the year 2026.

COVID-19 impact on marijuana use The COVID-19 pandemic and resulting lockdowns led to fears of an increase in substance abuse in many parts of the world. In March 2020, around 40 percent of millennials who used cannabis in the past year reported that they planned to increase their marijuana use during the COVID-19 pandemic. This rise in usage was reflected in sales early in the pandemic. In California for example, sales of marijuana on March 16, 2020 increased 159 percent compared to the same day in 2019.

The data represents individuals arrested with a marijuana charge, regardless of whether there was a more serious secondary charge. If an arrestee was charged with multiple marijuana charges, the arrest is only counted once under the more serious charge type (Manufacture/Cultivation > Distribution > Possession with Intent to Distribute > Possession > Public Consumption). The category of “Manufacture or Cultivation” was added in the 2019 data and for future years, but is not utilized in prior years.MPD collects race and ethnicity data according to the United States Census Bureau standards (https://www.census.gov/topics/population/race/about.html). Hispanic, which was previously categorized under the Race field prior to August 2015, is now captured under Ethnicity. All records prior to August 2015 have been updated to “Unknown (Race), Hispanic (Ethnicity).” Data on race and ethnicity prior to November 9, 2018 was based on officer observation; on and after November 9, 2018, the data is based on the arrestee’s response.MPD cannot release exact addresses to the general public unless proof of ownership or subpoena is submitted. The GeoX and GeoY values represent the block location (approximately 232 ft. radius) as of the date of the arrest. Due to the Department’s redistricting efforts in 2012 and 2019, data may not be comparable in some years.Arrestee age is calculated based on the number of days between the self-reported or verified date of birth (DOB) of the arrestee and the date of the arrest; DOB data may not be accurate if self-reported or if the arrestee refused to provide it.Due to the sensitive nature of juvenile data and to protect the arrestee’s confidentiality, any arrest records for defendants under the age of 18 have been coded as “NA” for the following fields:• Arrest Hour• CCN• Age• Offense Location Block GeoX/Y• Defendant Race• Defendant Ethnicity• Defendant Sex• Arrest Location Block Address• Arrest Location Block GeoX/YThis data may not match other marijuana data requests that may have included all law enforcement agencies in the District, or only the most serious charge. Figures are subject to change due to record sealing, expungements, and data quality audits.

Context

Cannabis Strains

Content

strain name: Given name of strain

type of strain: indica, sativa, hybrid

rating: user ratings averaged

effects: different effects optained

taste: taste of smoke

description: backround, etc

Acknowledgements

leafly.com

Inspiration

Marijuana may get a bad rep in the media as far as the decriminalization debate goes, but its health benefits can no longer go unnoticed. With various studies linking long-term marijuana use to positive, health-related effects, there are more than just a few reasons to smoke some weed every day.

A study done by the Boston Medical Center and the Boston University of Medicine, examined 589 drug users—more than 8 out of 10 of whom were pot smokers. It determined that “weed aficionados” were no more likely to visit the doctor than non-drug users. If an increased risk of contracting ailments is what’s preventing you from smoking more weed, it looks like you’re in the clear!

One of the greatest medicinal benefits of marijuana is its pain relieving qualities, which make it especially effective for treating chronic pain. From menstruation cramps to nerve pain, as little as three puffs of bud a day can help provide the same relief as synthetic painkillers. Marijuana relieves pain by “changing the way the nerves function,” says Mark Ware, MD and assistant professor of anesthesia and family medicine at McGill University.

Studies have found that patients suffering from arthritis could benefit from marijuana use. This is because naturally occurring chemicals in cannabis work to activate pathways in the body that help fight off joint inflammation.

Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates). This indicator is based on self-report and includes adults who used any form of marijuana at least one time in the past month.Among federally prohibited drugs and substances, marijuana is the most commonly used. In early 2018, marijuana became legal for recreational sale and consumption in California. Using marijuana at any age can lead to negative health consequences, which include psychological conditions such as depression or anxiety; brain damage affecting memory, attention, and learning ability; lung and cardiovascular system damage; harm to developing fetuses or infants; and increased risk for motor vehicle crashes. Marijuana use has long been associated with the use of other substances, including alcohol, tobacco, and prescription and illicit narcotics. Cities and communities should take an active role in educating residents, particularly youth, pregnant persons, and other vulnerable groups, about the potential risks of marijuana use and adopt policies that regulate and ensure safe marijuana retail activity.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

This dataset is about book subjects. It has 4 rows and is filtered where the books is Marijuana is safer : so why are we driving people to drink?. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

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

This replication package accompanies the article “In the Weeds of Traffic Fatalities: Revisiting the Effect of Medical Marijuana Laws.” The research re-evaluates the widely cited finding that medical marijuana laws (MMLs) significantly reduce traffic fatalities. The central hypothesis is that previous estimates of MML effects may be biased due to unaccounted-for pre-treatment trends and hard to interpret because of heterogeneity across states.

The dataset is a panel of U.S. states from 1990 to 2010, constructed to closely replicate Anderson et al. (2013). It includes annual, state-level traffic fatality rates (log-transformed per 100,000 population), a binary indicator for MML adoption, and a rich set of covariates covering demographics, driving laws, traffic enforcement measures, and substance-related policies.

The key finding is that states legalizing medical marijuana were already experiencing declining traffic fatalities before legalization. When accounting for these pre-trends using the Imputation Procedure (Borusyak et al., 2024), the estimated effect of MMLs shifts from negative to either zero or positive—depending on included covariates. The data also reveal large heterogeneity across states, with California disproportionately influencing population-weighted estimates.

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).

EMSIndicators:The number of individual patients administered naloxone by EMSThe number of naloxone administrations by EMSThe rate of EMS calls involving naloxone administrations per 10,000 residentsData Source:The Vermont Statewide Incident Reporting Network (SIREN) is a comprehensive electronic prehospital patient care data collection, analysis, and reporting system. EMS reporting serves several important functions, including legal documentation, quality improvement initiatives, billing, and evaluation of individual and agency performance measures.Law Enforcement Indicators:The Number of law enforcement responses to accidental opioid-related non-fatal overdosesData Source:The Drug Monitoring Initiative (DMI) was established by the Vermont Intelligence Center (VIC) in an effort to combat the opioid epidemic in Vermont. It serves as a repository of drug data for Vermont and manages overdose and seizure databases. Notes:Overdose data provided in this dashboard are derived from multiple sources and should be considered preliminary and therefore subject to change. Overdoses included are those that Vermont law enforcement responded to. Law enforcement personnel do not respond to every overdose, and therefore, the numbers in this report are not representative of all overdoses in the state. The overdoses included are limited to those that are suspected to have been caused, at least in part, by opioids. Inclusion is based on law enforcement's perception and representation in Records Management Systems (RMS). All Vermont law enforcement agencies are represented, with the exception of Norwich Police Department, Hartford Police Department, and Windsor Police Department, due to RMS access. Questions regarding this dataset can be directed to the Vermont Intelligence Center at dps.vicdrugs@vermont.gov.Overdoses Indicators:The number of accidental and undetermined opioid-related deathsThe number of accidental and undetermined opioid-related deaths with cocaine involvementThe percent of accidental and undetermined opioid-related deaths with cocaine involvementThe rate of accidental and undetermined opioid-related deathsThe rate of heroin nonfatal overdose per 10,000 ED visitsThe rate of opioid nonfatal overdose per 10,000 ED visitsThe rate of stimulant nonfatal overdose per 10,000 ED visitsData Source:Vermont requires towns to report all births, marriages, and deaths. These records, particularly birth and death records are used to study and monitor the health of a population. Deaths are reported via the Electronic Death Registration System. Vermont publishes annual Vital Statistics reports.The Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) captures and analyzes recent Emergency Department visit data for trends and signals of abnormal activity that may indicate the occurrence of significant public health events.Population Health Indicators:The percent of adolescents in grades 6-8 who used marijuana in the past 30 daysThe percent of adolescents in grades 9-12 who used marijuana in the past 30 daysThe percent of adolescents in grades 9-12 who drank any alcohol in the past 30 daysThe percent of adolescents in grades 9-12 who binge drank in the past 30 daysThe percent of adolescents in grades 9-12 who misused any prescription medications in the past 30 daysThe percent of adults who consumed alcohol in the past 30 daysThe percent of adults who binge drank in the past 30 daysThe percent of adults who used marijuana in the past 30 daysData Sources:The Vermont Youth Risk Behavior Survey (YRBS) is part of a national school-based surveillance system conducted by the Centers for Disease Control and Prevention (CDC). The YRBS monitors health risk behaviors that contribute to the leading causes of death and disability among youth and young adults.The Behavioral Risk Factor Surveillance System (BRFSS) is a telephone survey conducted annually among adults 18 and older. The Vermont BRFSS is completed by the Vermont Department of Health in collaboration with the Centers for Disease Control and Prevention (CDC).Notes:Prevalence estimates and trends for the 2021 Vermont YRBS were likely impacted by significant factors unique to 2021, including the COVID-19 pandemic and the delay of the survey administration period resulting in a younger population completing the survey. Students who participated in the 2021 YRBS may have had a different educational and social experience compared to previous participants. Disruptions, including remote learning, lack of social interactions, and extracurricular activities, are likely reflected in the survey results. As a result, no trend data is included in the 2021 report and caution should be used when interpreting and comparing the 2021 results to other years.The Vermont Department of Health (VDH) seeks to promote destigmatizing and equitable language. While the VDH uses the term "cannabis" to reflect updated terminology, the data sources referenced in this data brief use the term "marijuana" to refer to cannabis. Prescription Drugs Indicators:The average daily MMEThe average day's supplyThe average day's supply for opioid analgesic prescriptionsThe number of prescriptionsThe percent of the population receiving at least one prescriptionThe percent of prescriptionsThe proportion of opioid analgesic prescriptionsThe rate of prescriptions per 100 residentsData Source:The Vermont Prescription Monitoring System (VPMS) is an electronic data system that collects information on Schedule II-IV controlled substance prescriptions dispensed by pharmacies. VPMS proactively safeguards public health and safety while supporting the appropriate use of controlled substances. The program helps healthcare providers improve patient care. VPMS data is also a health statistics tool that is used to monitor statewide trends in the dispensing of prescriptions.Treatment Indicators:The number of times a new substance use disorder is diagnosed (Medicaid recipients index events)The number of times substance use disorder treatment is started within 14 days of diagnosis (Medicaid recipients initiation events)The number of times two or more treatment services are provided within 34 days of starting treatment (Medicaid recipients engagement events)The percent of times substance use disorder treatment is started within 14 days of diagnosis (Medicaid recipients initiation rate)The percent of times two or more treatment services are provided within 34 days of starting treatment (Medicaid recipients engagement rate)The MOUD treatment rate per 10,000 peopleThe number of people who received MOUD treatmentData Source:Vermont Medicaid ClaimsThe Vermont Prescription Monitoring System (VPMS)Substance Abuse Treatment Information System (SATIS)

BackgroundThe impact of marijuana on the general population is largely unknown. The present study aimed to assess the association between marijuana use and liver steatosis and fibrosis in the general United States population utilizing data from the National Health and Nutrition Examination Survey (NHANES).MethodsThis cross-sectional study was performed with data from the 2017–2018 cycle of NHANES. The target population comprised adults in the NHANES database with reliable vibration controlled transient elastography (VCTE) results. The median values of the controlled attenuation parameter (CAP) and liver stiffness measurement (LSM) were used to evaluate liver steatosis and fibrosis, respectively. After adjusting for relevant confounders, a logistic regression analysis was used to assess the association between marijuana use and liver steatosis and fibrosis.ResultsA total of 2622 participants were included in this study. The proportions of never marijuana users, past users, and current users were 45.9%, 35.0%, and 19.1%, respectively. Compared to never marijuana users, past and current users had a lower prevalence of liver steatosis (P = 0.184 and P = 0.048, respectively). In the alcohol intake-adjusted model, current marijuana use was an independent predictor of a low prevalence of liver steatosis in people with non-heavy alcohol intake. The association between marijuana use and liver fibrosis was not significant in univariate and multivariate regression.ConclusionIn this nationally representative sample, current marijuana use is inversely associated with steatosis. The pathophysiology is unclear and needs further study. No significant association was established between marijuana use and liver fibrosis, irrespective of past or current use.

Unadjusted logistic regression associations of marijuana use and steatosis/fibrosis.

Previous use of other tobacco products, blunt, and marijuana use at the wave prior to initiation of each cigarillo outcome.