Current Marijuana Use and Alcohol Consumption Among Adults Following the Legalization of Nonmedical Retail Marijuana Sales - Colorado, 2015-2019.

In Colorado, excessive alcohol use* contributed to $5 billion in economic costs in 2010 (1) and >1,800 deaths annually during 2011-2015 (2). The most common pattern of excessive drinking is binge drinking (consumption of four or more drinks on an occasion for women or five or more drinks for men) (3), which is associated with increased likelihood of using other substances, including marijuana (4). Retail (i.e., nonmedical) marijuana sales began in Colorado on January 1, 2014. The Colorado Department of Public Health and Environment (CDPHE) and CDC used data from Colorado's 2015-2019 Behavioral Risk Factor Surveillance System (BRFSS) to examine current use of marijuana (including hashish) by drinking patterns among 45,991 persons aged ≥18 years who responded to questions about alcohol and marijuana use. The age-standardized, weighted prevalence of current marijuana use among persons who reported binge drinking (34.4%) was significantly higher than the prevalence among current non-binge drinkers (14.8%) and nondrinkers (9.9%). Evidence-based strategies recommended by the Community Preventive Services Task Force to reduce excessive alcohol use and tobacco use (e.g., increasing prices or reducing access) can reduce alcohol- and tobacco-related harms. Similar strategies might be effective in reducing marijuana use and its potential harms as well.

Descriptive exploration of overdose codes in hospital and emergency department discharge data to inform development of drug overdose morbidity surveillance indicator definitions in ICD-10-CM.

BACKGROUND: In October 2015, discharge data coding in the USA shifted to the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM), necessitating new indicator definitions for drug overdose morbidity. Amid the drug overdose crisis, characterising discharge records that have ICD-10-CM drug overdose codes can inform the development of standardised drug overdose morbidity indicator definitions for epidemiological surveillance. METHODS: Eight states submitted aggregated data involving hospital and emergency department (ED) discharge records with ICD-10-CM codes starting with T36-T50, for visits occurring from October 2015 to December 2016. Frequencies were calculated for (1) the position within the diagnosis billing fields where the drug overdose code occurred; (2) primary diagnosis code grouped by ICD-10-CM chapter; (3) encounter types; and (4) intents, underdosing and adverse effects. RESULTS: Among all records with a drug overdose code, the primary diagnosis field captured 70.6% of hospitalisations (median=69.5%, range=66.2%-76.8%) and 79.9% of ED visits (median=80.7%; range=69.8%-88.0%) on average across participating states. The most frequent primary diagnosis chapters included injury and mental disorder chapters. Among visits with codes for drug overdose initial encounters, subsequent encounters and sequelae, on average 94.6% of hospitalisation records (median=98.3%; range=68.8%-98.8%) and 95.5% of ED records (median=99.5%; range=79.2%-99.8%), represented initial encounters. Among records with drug overdose of any intent, adverse effect and underdosing codes, adverse effects comprised an average of 74.9% of hospitalisation records (median=76.3%; range=57.6%-81.1%) and 50.8% of ED records (median=48.9%; range=42.3%-66.8%), while unintentional intent comprised an average of 11.1% of hospitalisation records (median=11.0%; range=8.3%-14.5%) and 28.2% of ED records (median=25.6%; range=20.8%-40.7%). CONCLUSION: Results highlight considerations for adapting and standardising drug overdose indicator definitions in ICD-10-CM.

Interrupted time series analysis of cannabis coding in Colorado during the ICD-10-CM transition.

The International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM), implemented in 2015, has more codes than ICD-9-CM for events involving cannabis. We examined cannabis indicator trends across the transition from ICD-9-CM to ICD-10-CM in Colorado, where state law regulates adult cannabis use. Using 2011 to 2018 data from hospital and emergency department (ED) discharges, we calculated monthly rates per 1000 discharges for two indicators: (1) cannabis use disorders and (2) poisoning and adverse effects of psychodysleptics. Immediate, point-of-transition (level) and gradual, post-transition (slope) changes across the ICD-9-CM to ICD-10-CM transition were tested using interrupted time series models adjusted for legalisation, seasonality and autocorrelation. We observed a level increase and slope increase in the rate of ED discharges with cannabis use disorders. Hospital discharges with cannabis use disorders had a negative slope change after the transition and no level change. ED discharges with poisoning and adverse effects of psychodysleptics showed an increase in slope after the transition. No effects of the transition were observed on hospital discharges with poisoning and adverse effects of psychodysleptics. Shifts in the level and slope of cannabis indicator rates after implementation of the new coding scheme suggest the use of caution when interpreting trends spanning the ICD-9-CM to ICD-10-CM transition.

Why do patients come to the emergency department after using cannabis?

Background: Cannabis (MJ) policy liberalization in a majority of US states has impacted emergency department (ED) visits. It is important to understand why people come to the ED after using MJ because the drug is now available to experienced and naïve people across the country. The objectives of this study were to (1) improve upon administrative dataset methodology by performing additional chart review to describe ED visits related to cannabis, (2) understand why patients come to the ED after using cannabis, and (3) begin to inform our understanding of cannabis-attributable ED visits to start to educate patients and providers about cannabis' safety.Methods: We performed a retrospective chart review of ED visits identified by cannabis ICD-9 and 10-CM codes between 2012 and 2016. Visits were reviewed and determined if the visit was partially attributable to cannabis based upon a pre-specified definition, then categorized into clinical complaint categories. Descriptive statistics, Chi-Square, and T-tests were used to elucidate the data.Results: About one-fourth (25.74%) of visits with cannabis ICD-CM codes were found to be at least partially attributable to cannabis. These patients are more often young, Caucasian males when compared to the overall ED population (p < .0001). Patients with a cannabis-attributable visit were more often admitted to the hospital (p < .0001). The most common complaints in cannabis-attributable visits were gastrointestinal and psychiatric complaints, as well as intoxication. The number of cannabis-attributable visits rose with time (p=.012).Conclusions: Based on a pre-specified definition, with good inter-rater reliability, we found that 25% of visits with a cannabis ICD-CM code were partially attributable to cannabis. These findings represent areas to target in cannabis user education as public perceptions change across time.

Marijuana exposures in Colorado, reported to regional poison centre, 2000-2018.

The objective was to evaluate trends in marijuana exposures reported to the Colorado regional poison centre (RPC). Human exposures cases from the Colorado RPC obtained from 1 January 2000 through 31 December 2018 using generic marijuana exposure codes. There were 2221 marijuana exposures, with an increase in exposures by 11.2 cases per year (p<0.0001). Annual cases remained steady since 2014 (p=0.22), with a 19.4% increase in 2018 compared with 2017. Since 2014, the largest increase was in children age 0-8 years (p<0.0001). Edible marijuana exposures increased by 9.6 exposures per year from 2015 to 2018 (p=0.04). After observing an increase in Colorado RPC marijuana exposure cases in 2010 and 2014, annual exposures have been stable through 2017, with the first increase in legalised recreational sales era in 2018. There are specific concerns for the paediatric population and exposures involving edibles, as these cases continue to increase.

Cannabis Use During the Perinatal Period in a State With Legalized Recreational and Medical Marijuana: The Association Between Maternal Characteristics, Breastfeeding Patterns, and Neonatal Outcomes.

OBJECTIVES: To evaluate state-level prevalence estimates of prenatal and early postnatal cannabis use in a state with legalized medical and recreational marijuana and the association with adverse neonatal outcomes. STUDY DESIGN: We conducted a cross-sectional study on 3,207 respondents from the 2014-2015 Colorado Pregnancy Risk Assessment Monitoring System with state-developed questions on cannabis use. Differences in perinatal cannabis use were evaluated according to maternal characteristics, breastfeeding patterns, and pregnancy intendedness. Multiple logistic regression models evaluated the relationship between prenatal cannabis use and adverse neonatal outcomes including low birth weight, small for gestational age, preterm birth, and admission to the neonatal intensive care unit. RESULTS: The self-reported prevalence of cannabis use at any time during pregnancy was 5.7 ± 0.5% and the prevalence of early postnatal cannabis use among women who breastfed was 5.0% (95% CI, 4.1%-6.2%). Prenatal cannabis use was associated with a 50% increased likelihood of low birth weight, independent of maternal age, race/ethnicity, level of education, and tobacco use during pregnancy (OR, 1.5; 95% CI, 1.1-2.1; P = .02). Small for gestational age, preterm birth, and neonatal intensive care unit admission were not associated with prenatal cannabis use, independent of prenatal tobacco use. CONCLUSIONS: Our findings underscore the importance of screening for cannabis use during prenatal care and the need for provider counselling about the adverse health consequences of continued use during pregnancy and lactation.

Current Marijuana Use by Industry and Occupation - Colorado, 2014-2015.

The effects of marijuana use on workplace safety are of concern for public health and workplace safety professionals. Twenty-nine states and the District of Columbia have enacted laws legalizing marijuana at the state level for recreational and/or medical purposes. Employers and safety professionals in states where marijuana use is legal have expressed concerns about potential increases in occupational injuries, such as on-the-job motor vehicle crashes, related to employee impairment. Data published in 2017 by the Colorado Department of Public Health and Environment (CDPHE) showed that more than one in eight adult state residents aged ≥18 years currently used marijuana in 2014 (13.6%) and 2015 (13.4%) (1). To examine current marijuana use by working adults and the industries and occupations in which they are employed, CDPHE analyzed data from the state's Behavioral Risk Factor Surveillance System (BRFSS) regarding current marijuana use (at least 1 day during the preceding 30 days) among 10,169 persons who responded to the current marijuana use question. During 2014 and 2015, 14.6% of these 10,169 Colorado workers reported current marijuana use, with the highest reported prevalence among workers in the Accommodation and Food Services industry (30.1%) and Food Preparation and Serving (32.2%) occupations. Understanding the industries and occupations of adults with reported marijuana use can help direct and maximize impact of public health messaging and potential safety interventions for adults.

Mental Health-related Emergency Department Visits Associated With Cannabis in Colorado.

BACKGROUND: Cannabis legalization in Colorado resulted in increased cannabis-associated health care utilization. Our objective was to examine cooccurrence of cannabis and mental health diagnostic coding in Colorado emergency department (ED) discharges and replicate the study in a subpopulation of ED visits where cannabis involvement and psychiatric diagnosis were confirmed through medical review. METHODS: We collected statewide ED International Classification of Diseases, 9th Revision, Clinical Modification diagnoses from the Colorado Hospital Association and a subpopulation of ED visits from a large, academic hospital from 2012 to 2014. Diagnosis codes identified visits associated with mental health and cannabis. Codes for mental health conditions and cannabis were confirmed by manual records review in the academic hospital subpopulation. Prevalence ratios (PRs) of mental health ED discharges were calculated to compare cannabis-associated visits to those without cannabis. Rates of mental health and cannabis-associated ED discharges were examined over time. RESULTS: Statewide data demonstrated a fivefold higher prevalence of mental health diagnoses in cannabis-associated ED visits (PR = 5.35, 95% confidence interval [CI], 5.27-5.43) compared to visits without cannabis. The hospital subpopulation supported this finding with a fourfold higher prevalence of psychiatric complaints in cannabis attributable ED visits (PR = 4.87, 95% CI = 4.36-5.44) compared to visits not attributable to cannabis. Statewide rates of ED visits associated with both cannabis and mental health significantly increased from 2012 to 2014 from 224.5 to 268.4 per 100,000 (p < 0.0001). CONCLUSIONS: In Colorado, the prevalence of mental health conditions in ED visits with cannabis-associated diagnostic codes is higher than in those without cannabis. There is a need for further research determining if these findings are truly attributed to cannabis or merely coincident with concurrent increased use and availability.