Economic Conditions and Drug and Opioid Overdose Deaths

2017 ◽  
Vol 76 (4) ◽  
pp. 462-477 ◽  
Author(s):  
Ezequiel Brown ◽  
George L. Wehby
Keyword(s):  
Drug Overdose ◽  
Fixed Effects ◽  
House Prices ◽  
Insurance Coverage ◽  
House Price ◽  
State Level ◽  
Economic Conditions ◽  
Prescription Opioid ◽  
Opioid Overdose ◽  
Overdose Deaths

We examine the effects of state-level economic conditions including unemployment rates, median house price, median household income, insurance coverage, and annual and weekly work time on deaths on drug overdose deaths including from opioids and prescription opioids between 1999 and 2014. We employ difference-in-differences estimation controlling for state and year fixed effects, state-specific time trends, and demographic characteristics. Drug overdose deaths significantly declined with higher house prices, an effect driven by reduction in prescription-opioid mortality, by nearly 0.17 deaths per 100,000 (~4%) with a $10,000 increase in median house price. House price effects were more pronounced and only significant among males, non-Hispanic Whites, and individuals younger 45 years. Other economic indicators had insignificant effects. Our findings suggest that economic downturns that substantially reduce house prices such as the Great Recession can increase opioid-related deaths, suggesting that efforts to control access to such drugs should especially intensify during these periods.

scholarly journals The Economic Underpinnings of the Drug Epidemic

2019 ◽  
Author(s):  
Nathan Seltzer
Keyword(s):  
Labor Market ◽  
Labor Markets ◽  
Drug Overdose ◽  
Manufacturing Sector ◽  
State Level ◽  
Opioid Overdose ◽  
Transformative Change ◽  
Drug Deaths ◽  
Overdose Deaths ◽  
The U.S

U.S. labor markets have experienced transformative change over the past half century. Spurred on by global economic change, robotization, and the decline of labor unions, state labor markets have shifted away from an occupational regime dominated by the production of goods to one characterized by the provision of services. Prior studies have proposed that deterioration of employment opportunities may be associated with the rise of substance use disorders and drug overdose deaths, yet no clear link between changes in labor market dynamics in the U.S. manufacturing sector and drug overdose deaths has been established. Using restricted-use vital registration records between 1999-2017 that comprise over 700,000 drug deaths, I test two questions. First, what is the association between manufacturing decline and drug and opioid overdose mortality rates? Second, how much of the increase in these drug-related outcomes can be accounted for by manufacturing decline? The findings provide strong evidence that restructuring of the U.S. labor market has played an important upstream role in the current drug crisis. Up to 77,000 overdose deaths for men and up to 40,000 overdose deaths for women are attributable to the decline of state-level manufacturing over this nearly two-decade period. These results persist in models that adjust for other social, economic, and policy trends changing at the same time, including the supply of prescription opioids. Critically, the findings signal the value of policy interventions that aim to reduce persistent economic precarity experienced by individuals and communities, especially the economic strain placed upon the middle class.

scholarly journals Improving risk factor identification for opioid overdose deaths in Tennessee

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Sarah J. Nechuta ◽  
Jenna Moses ◽  
Molly Golladay ◽  
Adele Lewis ◽  
Julia Goodin ◽  
...  
Keyword(s):  
Risk Factor ◽  
Drug Overdose ◽  
Medical Examiner ◽  
Prescription Opioid ◽  
Opioid Overdose ◽  
Prescription Opioids ◽  
Death Certificates ◽  
Postmortem Toxicology ◽  
Icd 10 ◽  
Overdose Deaths

ObjectiveTo examine specific drugs present based on postmortem toxicology for prescription opioid, heroin, and fentanyl overdoses classified based on ICD-10 coding. To compare drugs identified from postmortem toxicology with those listed on the death certificate for opioid overdoses.IntroductionUsing death certificates alone to identify contributing substances in drug overdose deaths may result in misclassification and underestimation of the burden of illicit and prescription opioids and other drugs in drug-related deaths. To enable timely and targeted prevention in Tennessee (TN), the identification and monitoring of new drugs and trends in use should utilize toxicology and medicolegal death investigation data directly, as recommended by others 1-3. These data can inform mortality outcome definitions for improved surveillance and risk factor identification 4-7. To our knowledge, this is the first analysis to use statewide linked toxicology and death certificate data in TN.MethodsWe identified 615 opioid involved overdose deaths in TN of unintentional (underlying ICD-10 codes: X40-X44) or undetermined (underlying ICD-10 codes: Y10-Y14) intent during June 1st to December 31st 2017. Utilizing the Interim Medical Examiner Database (I-MED), we identified postmortem toxicology reports for 454 cases, which were from one of three national laboratories used by a state Regional Forensic Center. Toxicology data were abstracted and independently verified by two co-authors and linked to the TN death statistical file that included cause of death information (literal text and ICD-10 codes) and demographics. The analysis focuses on cases with an available toxicology report.ResultsWe identified 171 prescription opioid overdoses, 221 fentanyl overdoses, and 113 heroin overdoses. Table 1 displays postmortem toxicology profiles for major drugs/classes. For prescription opioid deaths (excluding fentanyl and heroin), positive toxicology results for prescription opioids were as follows: methadone (11%), buprenorphine (14%), hydrocodone (14%), oxycodone (36%) and oxymorphone (also a metabolite, 47%). Benzodiazepines were present in close to 58% of prescription opioid overdoses; stimulants (cocaine, amphetamines, methamphetamines) in about 25%. For fentanyl and heroin deaths, prescription opioids were detected in about 26% and 34%, respectively; stimulants in about 57.9% and 52.2%, respectively, and benzodiazepines 36-37%. Fentanyl was present on toxicology in about half of heroin overdoses, and 6–monoacetylmorphine in 72.6%.ConclusionsUsing medical examiners’ data, including toxicology data, improves estimation of contributing drugs involved in opioid deaths. This analysis provides jurisdiction-specific data on drugs that can help with monitoring trends and informs risk factor identification. Future work includes adding information on prescribed opioid and benzodiazepines using TN’s Prescription Drug Monitoring Database and evaluating demographic variation in contributing drugs between toxicology and DC data to identify susceptible populations.References1. Slavova S, O'Brien DB, Creppage K, Dao D, Fondario A, Haile E, Hume B, Largo TW, Nguyen C, Sabel JC, Wright D, Council of S, Territorial Epidemiologists Overdose S. Drug Overdose Deaths: Let's Get Specific. Public Health Rep.2. Horon IL, Singal P, Fowler DR, Sharfstein JM. Standard Death Certificates Versus Enhanced Surveillance to Identify Heroin Overdose-Related Deaths. Am J Public Health. 2018;108(6):777-81.3. Mertz KJ, Janssen JK, Williams KE. Underrepresentation of heroin involvement in unintentional drug overdose deaths in Allegheny County, PA. J Forensic Sci. 2014;59(6):1583-5.4. Landen MG, Castle S, Nolte KB, Gonzales M, Escobedo LG, Chatterjee BF, Johnson K, Sewell CM. Methodological issues in the surveillance of poisoning, illicit drug overdose, and heroin overdose deaths in new Mexico. Am J Epidemiol. 2003;157(3):273-8.5. Davis GG, National Association of Medical E, American College of Medical Toxicology Expert Panel on E, Reporting Opioid D. Complete republication: National Association of Medical Examiners position paper: Recommendations for the investigation, diagnosis, and certification of deaths related to opioid drugs. J Med Toxicol. 2014;10(1):100-6.6. Slavova S, Bunn TL, Hargrove SL, Corey T. Linking Death Certificates, Postmortem Toxicology, and Prescription History Data for Better Identification of Populations at Increased Risk for Drug Intoxication Deaths. Pharmaceutical Medicine. 2017;31(3):155-65.7. Hurstak E, Rowe C, Turner C, Behar E, Cabugao R, Lemos NP, Burke C, Coffin P. Using medical examiner case narratives to improve opioid overdose surveillance. Int J Drug Policy. 2018;54:35-42. 

Drug overdose deaths at work, 2011–2016

2019 ◽  
Vol 25 (6) ◽  
pp. 577-580 ◽  
Author(s):  
Hope M Tiesman ◽  
Srinivas Konda ◽  
Lauren Cimineri ◽  
Dawn N Castillo
Keyword(s):  
Drug Overdose ◽  
Negative Binomial ◽  
Occupational Injuries ◽  
Negative Binomial Regression ◽  
Opioid Overdose ◽  
Full Time ◽  
Demographic Groups ◽  
Drug Overdoses ◽  
The Impact ◽  
Overdose Deaths

Drug overdose fatalities have risen sharply and the impact on US workplaces has not been described. This paper describes US workplace overdose deaths between 2011 and 2016. Drug overdose deaths were identified from the Census of Fatal Occupational Injuries and fatality rates calculated using denominators from the Current Population Survey. Fatality rates were compared among demographic groups and industries. Negative binomial regression was used to analyse trends. Between 2011 and 2016, 760 workplace drug overdoses occurred for a fatality rate of 0.9 per 1 000 000 full-time equivalents (FTEs). Workplace overdose fatality rates significantly increased 24% annually. Workplace overdose fatality rates were highest in transportation and mining industries (3.0 and 2.6 per 1 000 000 FTEs, respectively). One-third of workplace overdose fatalities occurred in workplaces with fewer than 10 employees. Heroin was the single most frequent drug documented in workplace overdose deaths (17%). Workplace overdose deaths were low, but increased considerably over the six-year period. Workplaces are impacted by the national opioid overdose epidemic.

scholarly journals Determinants of house price dynamics. What can we learn from search engine data?

2015 ◽  
Vol 66 (1) ◽  
pp. 99-127
Author(s):  
Marco Oestmann ◽  
Lars Bennöhr
Keyword(s):  
Search Engine ◽  
Fixed Effects ◽  
House Prices ◽  
House Price ◽  
Price Dynamics ◽  
Subprime Crisis ◽  
House Price Dynamics ◽  
Conventional Models ◽  
Real Estate Prices ◽  
Google Search

Abstract There is a broad literature on determinants of house price dynamics, which received increasing attention in the aftermath of the subprime crisis. Additional to macroeconomic standard variables, there might be other hard to measure or even unobservable factors influencing real estate prices. Using quarterly data, we try to increase the informational input of conventional models and capture such effects by including Google search engine query information into a set of standard fundamental variables explaining house prices. We use the house price index (HPI) published by Eurostat to perform fixed-effects regressions for a panel of 14 EU-countries comprising the years 2005-2013. We find that Google data as a single aggregate measure plays a prominent role in explaining house price developments.

Fentanyl analogue overdose: Key lessons in management in the synthetic opioid age

2019 ◽  
Vol 15 (5) ◽  
pp. 428-432
Author(s):  
Amer Raheemullah, MD ◽  
Neal Andruska, MD, PhD
Keyword(s):  
Addiction Treatment ◽  
Opioid Use Disorder ◽  
Prescription Opioid ◽  
Opioid Overdose ◽  
Health Departments ◽  
Opioid Use ◽  
Public Health Departments ◽  
Disorder Treatment ◽  
Fentanyl Analogues ◽  
Overdose Deaths

Fentanyl overdoses are growing at an alarming rate. Fentanyl is often mixed into heroin and counterfeit prescription opioid pills without the customer’s knowledge and only detected upon laboratory analysis. This is problematic because fentanyl analogues like carfentanil are 10,000 times more potent than morphine and pose new challenges to opioid overdose management. A 62-year-old male with an overdose from a rare fentanyl analogue, acrylfentanyl, was given two doses of intranasal 2 mg naloxone with improvements in respiratory rate. In lieu of more naloxone, his trachea was intubated and he was admitted to the intensive care unit. He subsequently developed ventilator-associated pneumonia and then a pulmonary embolism. He did not receive any opioid use disorder treatment and returned back to the emergency department with an opioid overdose 21 days after discharge.We are encountering an unprecedented rise in synthetic opioid overdose deaths as we enter the third decade of the opioid epidemic. Thus, it is imperative to be aware of the features and management of overdoses from fentanyl and its analogues. This includes protecting against occupational exposure, administering adequate doses of naloxone, and working with public health departments to respond to fentanyl outbreaks. Additionally, fentanyl overdoses represent a critical opportunity to move beyond acute stabilization, start buprenorphine or methadone for opioid use disorder during hospitalization, link patients to ongoing addiction treatment, and distribute naloxone into the community to help curb the overdose epidemic.

Do real estate loans reflect regional banking and economic conditions?

2016 ◽  
Vol 8 (1) ◽  
pp. 37-63 ◽  
Author(s):  
Amit Ghosh
Keyword(s):  
Real Estate ◽  
Fixed Effects ◽  
Banking Industry ◽  
Generalized Method Of Moments ◽  
Housing Price ◽  
Land Development ◽  
State Level ◽  
Economic Conditions ◽  
Single Family ◽  
Content Type

Purpose Using state-level data, the purpose of this paper is to examine state banking-industry specific as well as region economic determinants of real estate lending of commercial banks across all 51 states spanning the period 1966-2014. Design/methodology/approach Using both fixed-effects and dynamic-generalized method of moments (GMM) estimation techniques the study compares the sensitivity of different categories of real estate loans to regional banking and economic conditions. Finally, it provides a comparative perspective by comparing the results for real estate loans with other categories of loans given out by banks. Findings Greater capitalization, liquidity and overhead costs reduce real estate lending, while banks diversification and the size of the banking industry in each state increase such lending. Moreover, real estate loans are found to be procyclical to state economic cycles with a rise in state real gross domestic product (GDP) growth, increase in state housing price index (HPI) and decline in both inflation and unemployment rates, increasing real estate loans. Within disaggregated loan types, construction and land development and single-family residential loans are most responsive to state banking and economic conditions. Originality/value The recent financial turmoil is to a large extent attributable to excessive risk-taking by banks, particularly in terms of real estate lending. Hence, it is of paramount importance to empirically address the various determinants of real estate lending. With most banks restricting their operations in either one or a few states only, real estate lending in any given state may be more sensitive to regional banking and economic conditions than national aggregates. The present study is the first of its type to perform such an analysis.

scholarly journals Opioid Prescribing Laws Are Not Associated with Short-term Declines in Prescription Opioid Distribution

Pain Medicine ◽  
2019 ◽  
Vol 21 (3) ◽  
pp. 532-537 ◽  
Author(s):  
Corey S Davis ◽  
Brian J Piper ◽  
Alex K Gertner ◽  
Jason S Rotter
Keyword(s):  
Fixed Effects ◽  
State Level ◽  
Ordinary Least Squares ◽  
Prescription Opioid ◽  
Treatment Access ◽  
Opioid Prescription ◽  
Opioid Prescribing ◽  
Prescription Drug Monitoring Programs ◽  
Level Data ◽  
Total Prescription

Abstract Objective To determine whether the adoption of laws that limit opioid prescribing or dispensing is associated with changes in the volume of opioids distributed in states. Methods State-level data on total prescription opioid distribution for 2015–2017 were obtained from the US Drug Enforcement Administration. We included in our analysis states that enacted an opioid prescribing law in either 2016 or 2017. We used as control states those that did not have an opioid prescribing law during the study period. To avoid confounding, we excluded from our analysis states that enacted or modified mandates to use prescription drug monitoring programs (PDMPs) during the study period. To estimate the effect of opioid prescription laws on opioid distribution, we ran ordinary least squares models with indicators for whether an opioid prescription law was in effect in a state-quarter. We included state and quarter fixed effects to control for time trends and time-invariant differences between states. Results With the exception of methadone and buprenorphine, the amount of opioids distributed in states fell during the study period. The adoption of opioid prescribing laws was not associated with additional decreases in opioids distributed. Conclusions We did not detect an association between adoption of opioid prescribing laws and opioids distributed. States may instead wish to pursue evidence-based efforts to reduce opioid-related harm, with a particular focus on treatment access and harm reduction interventions.

scholarly journals Prescription opioid overdose and adverse effect hospitalisations among injured workers in eight states (2010–2014)

2020 ◽  
Vol 77 (7) ◽  
pp. 439-445 ◽  
Author(s):  
Jeanne M Sears ◽  
Sheilah Hogg-Johnson ◽  
Ryan A Sterling ◽  
Deborah Fulton-Kehoe ◽  
Gary M Franklin
Keyword(s):  
Adverse Effect ◽  
South Carolina ◽  
Fatal Outcome ◽  
State Level ◽  
Healthcare Research ◽  
Injured Workers ◽  
Prescription Opioid ◽  
Opioid Overdose ◽  
Prescribing Practices ◽  
Discharge Data

ObjectiveHigh-risk opioid prescribing practices in workers’ compensation (WC) settings are associated with excess opioid-related morbidity, longer work disability and higher costs. This study characterises the burden of prescription opioid-related hospitalisations among injured workers.MethodsHospital discharge data for eight states (Arizona, Colorado, Michigan, New Jersey, New York, South Carolina, Utah and Washington) were obtained from the State Inpatient Databases, Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality. We calculated 5-year (2010–2014) average annual rates of prescription opioid overdose/adverse effect (AE) hospitalisations. Injured workers were identified using payer (WC) and external cause codes.ResultsState-level average annual prescription opioid overdose/AE hospitalisation rates ranged from 0.3 to 1.2 per 100 000 employed workers. Rates for workers aged ≥65 years old were two to six times the overall rates. Among those hospitalised with prescription opioid overdose/AEs, injured workers were more likely than other inpatients to have a low back disorder diagnosis, and less likely to have an opioid dependence/abuse or cancer diagnosis, or a fatal outcome. Averaged across states, WC was the primary expected payer for <1% of prescription opioid overdose/AE hospitalisations vs 6% of injury hospitalisations.ConclusionsPopulation-based estimates of prescription opioid morbidity are almost nonexistent for injured workers; this study begins to fill that gap. Rates for injured workers increased markedly with age but were low relative to inpatients overall. Research is needed to assess whether WC as payer adequately identifies work-related opioid morbidity for surveillance purposes, and to further quantify the burden of prescription opioid-related morbidity.

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