PURPOSE: To replicate a prior study that found greater adolescent marijuana use in states that have passed medical marijuana laws, and extend this analysis by accounting for confounding by unmeasured state characteristics and measurement error. METHODS: We obtained state-level estimates of marijuana use from the 2002-2009 National Survey on Drug Use and Health. We used two-sample t-tests and random-effects regression to replicate previous results. We used difference-in-differences regression models to estimate the causal effect of medical marijuana laws on marijuana use, and simulations to account for measurement error. RESULTS: We replicated previously published results showing higher marijuana use in states with medical marijuana laws. Difference-in-differences estimates suggested that passing medical marijuana laws decreased past-month use among adolescents by 0.53 percentage points (95% CI: 0.03-1.02) and had no discernible effect on the perceived riskiness of monthly use. Models incorporating measurement error in the state estimates of marijuana use yielded little evidence that passing medical marijuana laws affects marijuana use. CONCLUSIONS: Accounting for confounding by unmeasured state characteristics and measurement error had an important effect on estimates of the impact of medical marijuana laws on marijuana use. We find limited evide nce of causal effects of medical marijuana laws on measures of reported marijuana use.

This paper investigates whether cannabis use leads to worse mental health. To do so, we account for common unobserved factors affecting mental health and cannabis consumption by modeling mental health jointly with the dynamics of cannabis use. Our main finding is that using cannabis increases the likelihood of mental health problems, with current use having a larger effect than past use. The estimates suggest a dose-response relationship between the frequency of recent cannabis use and the probability of currently experiencing a mental health problem.

In 2023, approximately 61.8 million people used marijuana in the past year. This statistic shows the number of people in the U.S. who have used marijuana in the past year from 2009 to 2023.

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.

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.

Project Name: " Weed detection using ESP32" Project overview: The target is to develop a model to detect weeds in the field and so that can easily be detected and detached.

Descriptions: We will use ESP32 which has a camera and real time image can be seen with it. We will train the model with tensorflow and than run the algorithm in the ESP32. Then based on the algorithm weeds can be detected from the field.

Links to external resources: https://universe.roboflow.com/roboflow-100/grass-weeds/dataset/2

This data set contains preliminary monthly sales data for the average price per gram of usable cannabis in both the adult-use cannabis and medical marijuana markets. For the purposes of this dataset, "usable cannabis" includes raw flower in whole, ground, or pre-rolled form, without additional extracted materials. The data reported is compiled at specific points in time and only captures data current at the time the report is generated. Data values may be updated and change over time as updates occur.

Listing of all the medical marijuana and cannabis brands registered with the State Dept. of Consumer Protection.

This data set contains data on incidents of smoking marijuana.

Update Frequency: Daily

This data set contains preliminary retail sales data for cannabis and cannabis products by product type in the adult-use cannabis and medical marijuana markets based on total sales data. The data reported is compiled at specific points in time and only captures data current at the time the report is generated. The monthly data set captures retail cannabis sales from the first through the last day of the month. Data values may be updated and change over time as updates occur. Accordingly, monthly reported data may not exactly match annually reported data.

This data includes arrests made by the Metropolitan Police Department (MPD). 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 (Distribution > Possession with Intent to Distribute > Possession > Public Consumption).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)”. Race and ethnicity data are based on officer observation, which may or may not be accurate.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 2017, 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 “Juvenile” for the following fields:• Arrest Time• 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. Learn more at https://mpdc.dc.gov/marijuana.

This Open Data Registry includes currently licensed applicants as well as pending cannabis license applicants. The registry is accompanied by a map, showing the locations of licensed establishments that have applied for a cannabis license and shows their current status, which you can find here.

The Licensing Board issues a variety of license under MGL Chapter 138 and Chapter140 including Billiards, Bowling, Clubs/Veterans' Groups, Common Victualler (Food Service), Alcohol Beverage, Innholder, Dormitories/Lodging houses, and Retail Package Stores

This dataset lists all cannabis licenses that are currently active.

NWT Cannabis Use Profile (2018)

This data set contains preliminary weekly retail sales data for cannabis and cannabis products in both the adult-use cannabis and medical marijuana markets. The data reported is compiled at specific points in time and only captures data current at the time the report is generated. The weekly data set captures retail cannabis sales from Sunday through Saturday of the week. Weeks spanning across two different months only include days within the same month. The first and last week of each month may show lower sales as they may not be made up of a full week (7 days). Data values may be updated and change over time as updates occur. Accordingly, weekly reported data may not exactly match annually reported data.

Analysis of ‘1.21 Youth Substance Abuse (summary)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8da0d604-f4c7-4d12-8c9d-5ffe82d78056 on 11 February 2022.

--- Dataset description provided by original source is as follows ---

The Arizona Youth Survey is a self-reported survey given to 8th, 10th and 12th graders throughout Arizona schools, which requires both parental and student consent. The survey includes a variety of topics such as drug use, bullying, parental approval, and peer relationships. This dataset includes information from the survey on Tempe schools (zip codes 85281, 85282, 85283, 85284) and focuses specifically on alcohol and marijuana use over the past 30-days for 10th and 12th graders.

This page provides data for the Youth Alcohol and Marijuana Usage performance measure.

The performance measure dashboard is available at 1.21 Youth Alcohol, Marijuana, & Opioid Usage Rate

Additional Information

Source: Arizona Youth Survey

Contact: Kristi Griffin

Contact E-Mail: Kristi_Griffin@tempe.gov

Data Source Type: Excel

Preparation Method: By request from the Arizona Criminal Justice Commission

Publish Frequency: Every two years (on even # years)

Publish Method: Manual

Data Dictionary

--- Original source retains full ownership of the source dataset ---

Unique dispensaries, both licensed and unlicensed storefronts, excludes delivery only establishments. Geographies based on geocoded address of dispensary and shapefile overlay.Prior to the legalization of recreational marijuana use in 2018, California had a loosely regulated medicinal cannabis market with many unlicensed dispensaries operating. The ready availability of marijuana dispensaries, not all of which are compliant with State safety requirements, has facilitated widespread marijuana use, which in turn is associated with a number of adverse health outcomes, including higher risk for lung infections and mental health conditions such as depression and anxiety. 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 adopting policies that regulate and ensure safe marijuana retail activity.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

To adjust for underreporting of marijuana use, researchers multiply the proportion of individuals who reported using marijuana by a constant factor, such as the US Office of National Drug Control Policy’s 1.3. Although the current adjustments are simple, they do not account for changes in reporting over time. This article presents a novel way to explore relative changes in reporting from one survey to another simply by using data already available in a self-reported survey, the National Survey on Drug Use and Health. Using domain estimation to examine the stability in reported marijuana use by age 25 in individuals older than 25, this analysis provides estimates of the trends in marijuana reporting and standard errors, as long as the survey weights properly account for sampling variability. There was no significant evidence of an upward or downward trend in reporting changes from 1979 to 2016 for all birth cohorts, although there were significant differences in reporting between years and a slight downward trend in later years. These results suggest that individuals have become increasingly less willing to report their drug use in recent years, and thus the ONDCP likely underestimated the already drastic increase in use from 1992 to 2016.

Cannabis

## Overview

Cannabis is a dataset for instance segmentation tasks - it contains Cannabis annotations for 426 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

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.