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1.
Soc Sci Med ; 281: 114087, 2021 07.
Article in English | MEDLINE | ID: mdl-34102424

ABSTRACT

When and how do politicians talk about public health crises? Using evidence from the opioid crisis in the United States, this paper assembles and analyzes novel data on Congressional statements to explore the conditions under which politicians (1) issue public statements about opioids and (2) frame the opioid crisis as a predominantly public health or law enforcement problem. We examined 3.8 million Congressional floor speeches and 111,000 public statements to identify (1) floor speeches about drug crises in the 97th to 114th Congresses (1981-2017) and (2) public statements about the opioid crisis in the 116th Congress (2019-2020). Moderate ideology, women, greater overdose deaths, and larger white populations are associated with significantly higher frequencies of opioid statements. Using a dictionary-based text analysis approach, we find that ideologically liberal and African American legislators are more likely to use public health framing, while ideologically conservative members are more likely to use law enforcement framing and refer to national borders or foreign countries in opioid statements. Democrats/liberals more often referenced medication treatment for opioids. These findings imply two broader conclusions about the nature of political discourse in public health crises. First, that political extremists are least likely to talk about opioids suggests that increasing partisan polarization may result in less discussion, emphasis, and expertise in public health issues. Second, the tenor of discourse about opioids and other public health crises is likely to change with partisan electoral waves, potentially hindering long term planning of public health capacity.


Subject(s)
Drug Overdose , Epidemics , Analgesics, Opioid/therapeutic use , Drug Overdose/drug therapy , Drug Overdose/epidemiology , Female , Humans , Opioid Epidemic , Public Health , United States/epidemiology
2.
J Cannabis Res ; 3(1): 6, 2021 Mar 14.
Article in English | MEDLINE | ID: mdl-33715627

ABSTRACT

BACKGROUND: Cannabis laboratory testing reliability is a scientific and policy challenge in US states with legal cannabis. Greater reported THC concentration yields higher prices, and media reports describe a well-known consumer and dispensary preference for flower products containing a minimum 20% THC content-an economically meaningful but biologically arbitrary threshold. This paper examines the frequency distribution of reported THC concentration in legal cannabis flower products in Nevada and Washington state for unusual shifts around the 20% threshold suggestive of potential manipulation of reported THC results. METHODS: THC concentration test results for 142,000 Chemotype 1 flower products from Washington state between June 2014 and May 2017 and 55,000 flower products from Nevada between December 2017 and January 2020 were analyzed for changes in the frequency distribution around the 20% threshold using the McCrary density test. Analyses were performed among all labs in each state, the highest volume lab in Washington, and two labs in Washington which had their licenses suspended for testing irregularities during the study period. RESULTS: Comparing just above the 20% THC threshold with just below it, the frequency of test results increased by about 43% in Nevada (z = 15.6, p < 0.001) and by about 17% in Washington (z = 11.0, p < 0.001). In Washington's highest volume testing lab, frequency increased by only about 1% (z = 0.39, p = 0.70), while it increased by about 47% (z = 12.7, p < 0.001) among the two suspended labs. Subset to those growers which sent products to both sets of labs, frequency of flower products just above the 20% threshold increased by 2% in Washington's largest lab (z = 0.50, p = 0.62) and by 52% among the two suspended labs (z = 12.8, p < 0.001). DISCUSSION: There is a statistically unusual spike in the frequency of products reporting just higher than 20% THC in both states consistent with economic incentives for products to contain at least 20% THC. This "bunching" of reported THC levels exists among some, but not all, cannabis testing labs, suggesting that laboratory differences (rather than precise manipulation by growers) drive this potential manipulation in reported THC content. These findings elaborate on prior research highlighting unexplained interlaboratory variation in cannabis testing results and highlight ongoing irregularities with legal cannabis testing. CONCLUSION: These findings highlight the need for industry oversight and cautions researchers working with reported cannabis THC concentration data, which may be biased by economic incentives to report higher THC.

3.
Drug Alcohol Depend ; 218: 108416, 2021 01 01.
Article in English | MEDLINE | ID: mdl-33278761

ABSTRACT

BACKGROUND: U.S. research examining the illicit drug supply remains rare even though the information could help reduce overdoses. Relatively little is known regarding how often opioids are found in stimulants and whether temporal and geographic trends exist. We examined trends in fentanyl-cocaine and fentanyl-methamphetamine combinations in the national illicit drug supply. METHODS: We analysed serial cross-sectional data from the National Forensic Laboratory Information System (NFLIS) collected between January 2011 and December 2016. We restricted the analysis to cocaine (N = 1,389,968) and methamphetamine (n = 1,407,474) samples and calculated proportions containing fentanyl (including 23 related analogs) over time. RESULTS: The combined presence of fentanyl and cocaine steadily increased nationally between 2012-2016 (p = 0.01), and the number of such samples tripled from 2015 to 2016 (n = 423 to n = 1,325). Similarly, the combined presence of fentanyl and methamphetamine increased 179 % from 2015 to 2016 (n = 82-n = 272). Patterns varied widely by state; in 2016, fentanyl-cocaine samples were most common in New Hampshire (7.2 %), Connecticut (5.4 %), Ohio (2.6 %) and Massachusetts (2.1 %), whereas fentanyl-methamphetamine samples were most often in New Hampshire (6.1 %), Massachusetts (5.6 %), Vermont (2.4 %) and Maine (1.2 %). CONCLUSIONS: Although relatively uncommon, the presence of fentanyl in the stimulant supply increased significantly between 2011 and 2016, with the greatest increases occuring between 2015-2016; the presence of these products was concentrated in the U.S. Northeast. Given these trends, strengthening community-based drug checking programs and surveillance within the public health infrastructure could help promote timely responses to novel threats posed by rapid shifts in the drug supply that may lead to inadvertent exposures.


Subject(s)
Drug Overdose/epidemiology , Fentanyl/poisoning , Illicit Drugs/poisoning , Analgesics, Opioid/poisoning , Central Nervous System Stimulants , Cocaine , Connecticut , Cross-Sectional Studies , Female , Humans , Maine/epidemiology , Massachusetts , Methamphetamine , New Hampshire , Ohio , Public Health , United States/epidemiology
4.
Sci Rep ; 10(1): 14406, 2020 Aug 27.
Article in English | MEDLINE | ID: mdl-32848160

ABSTRACT

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

5.
Int J Drug Policy ; 70: 40-46, 2019 08.
Article in English | MEDLINE | ID: mdl-31079029

ABSTRACT

BACKGROUND: Rapid increases in drug overdose deaths in the United States since 2014 have been highly regionally stratified, with the largest increases occurring in the eastern and northeastern states. By contrast, many western states saw overdose deaths plateau. This paper shows how the differential influx of fentanyl and fentanyl analogues in the drug supply has reshaped the geography and demography of the overdose crisis in the United States. METHODS: Using all state lab drug seizures obtained by Freedom of Information Act request, I analyze the regionally distinctive presence of fentanyl in the US drug supply with descriptive plots and statistical models. Main analyses explore state-year overdose trends using two-way fixed effects ordinary least squares (OLS) regression and two-stage least squares regression (2SLS) instrumenting for fentanyl exposure with state-longitude times a linear trend. RESULTS: First, fentanyl exposure is highly correlated with geography and only weakly explained by overdose rates prior to 2014. States in the east (higher degrees longitude) are much more heavily affected. Second, fentanyl exposure exhibits a statistically significant and important effect on overdose mortality, with model-predicted deaths broadly consistent with official death statistics. Third, fentanyl exposure explains most of the variation in increased overdose mortality between 2011 and 2017. Consequently, the epicenter of the overdose crisis shifted towards the eastern United States over these years. CONCLUSION: These findings shed light on the "third-wave" of the overdose epidemic, characterized by rapid and geographically disparate changes in drug supply that heighten the risk of overdose. Above all, they underscore the urgency of adopting evidence-based policies to combat addiction in light of the rapidly changing drug environment.


Subject(s)
Drug Overdose/mortality , Fentanyl/adverse effects , Geography, Medical/statistics & numerical data , Analgesics, Opioid/adverse effects , Analgesics, Opioid/supply & distribution , Fentanyl/supply & distribution , Geography, Medical/trends , Humans , Models, Statistical , United States
6.
Occup Environ Med ; 75(10): 736-738, 2018 10.
Article in English | MEDLINE | ID: mdl-29898957

ABSTRACT

OBJECTIVE: Economic policies can have unintended consequences on population health. In recent years, many states in the USA have passed 'right to work' (RTW) laws which weaken labour unions. The effect of these laws on occupational health remains unexplored. This study fills this gap by analysing the effect of RTW on occupational fatalities through its effect on unionisation. METHODS: Two-way fixed effects regression models are used to estimate the effect of unionisation on occupational mortality per 100 000 workers, controlling for state policy liberalism and workforce composition over the period 1992-2016. In the final specification, RTW laws are used as an instrument for unionisation to recover causal effects. RESULTS: The Local Average Treatment Effect of a 1% decline in unionisation attributable to RTW is about a 5% increase in the rate of occupational fatalities. In total, RTW laws have led to a 14.2% increase in occupational mortality through decreased unionisation. CONCLUSION: These findings illustrate and quantify the protective effect of unions on workers' safety. Policymakers should consider the potentially deleterious effects of anti-union legislation on occupational health.


Subject(s)
Accidents, Occupational/mortality , Labor Unions/legislation & jurisprudence , Occupational Health , Return to Work/legislation & jurisprudence , Workplace/standards , Adult , Female , Humans , Male , Middle Aged , Regression Analysis , Safety , Young Adult
7.
Sci Rep ; 8(1): 4519, 2018 03 14.
Article in English | MEDLINE | ID: mdl-29540728

ABSTRACT

The majority of adults in the U.S. now have state-legal access to medical or recreational cannabis products, despite their federal prohibition. Given the wide array of pharmacologically active compounds in these products, it is essential that their biochemical profile is measured and reported to consumers, which requires accurate laboratory testing. However, no universal standards for laboratory testing protocols currently exist, and there is controversy as to whether all reported results are legitimate. To investigate these concerns, we analyzed a publicly available seed-to-sale traceability dataset from Washington state containing measurements of the cannabinoid content of legal cannabis products from state-certified laboratories. Consistent with previous work, we found that commercial Cannabis strains fall into three broad chemotypes defined by the THC:CBD ratio. Moreover, we documented systematic differences in the cannabinoid content reported by different laboratories, relative stability in cannabinoid levels of commercial flower and concentrates over time, and differences between popular commercial strains. Importantly, interlab differences in cannabinoid reporting persisted even after controlling for plausible confounds. Our results underscore the need for standardized laboratory methodologies in the legal cannabis industry and provide a framework for quantitatively assessing laboratory quality.


Subject(s)
Cannabinoids/analysis , Cannabis/chemistry , Consumer Product Safety , Health Facilities , Substance Abuse Detection , Humans , Laboratories , Washington
8.
Pharmacoepidemiol Drug Saf ; 27(5): 541-549, 2018 05.
Article in English | MEDLINE | ID: mdl-29537112

ABSTRACT

BACKGROUND: Although polydrug incidents comprise a substantial proportion of overdose deaths, scholarly and popular focus has centered on prescription opiates. This study examines the role of benzodiazepine and opioid prescriptions on overdose-both individually and synergistically-using data from Medicare Part D, a source of prescription drug claims for about 35 million Americans. METHODS: Prescribing data from the Medicare Part D Public Use Files for 2013, 2014, and 2015 (approximately 3.5 billion prescription drug claims) are geolocated using the prescriber's national provider identifier to calculate the proportion of claims for opioids and benzodiazepines in each county. These rates are matched with overdose data and controls to compile an analytic dataset of 9105 county-years. Multinomial logistic regression is used to estimate the probability that a county experiences higher rates of overdose fatalities. RESULTS: A 1% increase in the benzodiazepine proportion of claims is associated with 1.2 odds of high, versus low, overdose (P < .1) and 1.4 odds of very high overdose (P < .05). Moreover, there was a substantial interaction between opioids and benzodiazepines (P < .001). A county with 6% benzodiazepine prescriptions and 12% opioid prescriptions has a .58 predicted probability of very high overdose, significantly higher (P < .001) than the .33 probability for a county with 12% opioid prescriptions but 3% benzodiazepine prescriptions. CONCLUSION: These findings shed light on the polydrug epidemiology of the overdose epidemic. Overdose deaths are highest where elevated opioid and benzodiazepine claims coexist. Overdose levels may reflect polydrug use and misuse, requiring clinical and policy responses beyond reducing opioid prescriptions.


Subject(s)
Analgesics, Opioid/adverse effects , Benzodiazepines/adverse effects , Drug Overdose/epidemiology , Epidemics/prevention & control , Polypharmacy , Psychotropic Drugs/adverse effects , Analgesics, Opioid/administration & dosage , Benzodiazepines/administration & dosage , Drug Overdose/etiology , Drug Prescriptions/statistics & numerical data , Humans , Medicare Part D/statistics & numerical data , Pharmacoepidemiology/statistics & numerical data , Prescription Drugs/administration & dosage , Prescription Drugs/adverse effects , Psychotropic Drugs/administration & dosage , Socioeconomic Factors , United States/epidemiology
9.
Drug Alcohol Depend ; 173: 1-9, 2017 Apr 01.
Article in English | MEDLINE | ID: mdl-28182980

ABSTRACT

BACKGROUND: Drug overdose deaths have risen precipitously over the last fifteen years. Substantial geographic variation, beyond a simple rural-urban dichotomy, exists in the concentration of overdose deaths, suggesting the existence of as-yet unidentified environmental variables that predict resilience (or vulnerability) to drug overdoses. Motivated by reports highlighting the role of community fragility in the opioid epidemic, we explore whether social capital attenuates overdose death rates. METHODS: We conducted an ecologic temporal trends study from 1999 to 2014 to investigate the association between mortality due to drug overdose and social capital. Data from multiple sources were compiled at the county-level to produce an analytic dataset comprising overdose mortality, social capital, and a host of potentially confounding variables indicated by the literature (N=49,664 county-years). Multinomial logistic regression was used to estimate the likelihood that a county falls in low (<4 deaths per 100,000), moderate, or high (>16 deaths per 100,000) categories of annual overdose morality. RESULTS: We observed a strong and statistically significant inverse association between county-level social capital and age-adjusted mortality due to drug overdose (p<0.01). Compared to the lowest quintile of social capital, counties at the highest quintile were 83% less likely to fall in the "high-overdose" category and 75% less likely to fall in the "moderate-overdose" category. CONCLUSION: This study finds large-sample evidence that social capital protects communities against drug overdose. This finding could help guide policymakers in identifying where overdose epidemics are likely to occur and how to ameliorate them.


Subject(s)
Analgesics, Opioid/poisoning , Drug Overdose/mortality , Residence Characteristics , Social Capital , Epidemics , Humans , Rural Population , Socioeconomic Factors , United States
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