Promoting Sustainable Responses to the US Opioid Epidemic with Community-Academic Partnerships: Qualitative Outcomes from a Statewide Program.

Author(s):  
David L. Driscoll ◽  
Alison Evans Cuellar ◽  
Vinod Agarwal ◽  
Debra Jones ◽  
Kathy Hosig ◽  
...  

Abstract Background: Drug overdose deaths in the United States have continued to increase at an alarming rateThe United States is facing two devastating public health crises– the opioid epidemic and the COVID-19 pandemic. Within this context, one of the most ambitious implementation studies in addiction research is moving forward. Launched in May 2019, the HEALing Communities Study (HCS) was developed by the National Institutes of Health (NIH) and the Substance Abuse and Mental Health Services Administration (SAMHSA) as part of the Helping to End Addiction Long-termSM Initiative (National Institutes of Health, 2020). The goal for this research was to reduce opioid overdose deaths by 40 % in three years by enhancing and integrating the delivery of multiple evidence-based practices (EBPs) with proven effectiveness in reducing opioid overdose deaths across health care, justice, and community settings. This paper describes the initial vision, goals, and objectives of this initiative; the impact of COVID-19; and the potential for knowledge to be generated from HCS at the intersection of an unrelenting epidemic of opioid misuse and overdoses and the ravishing COVID-19 pandemic.. The Substance Abuse and Mental Health Services Administration distributed more than $7 billion between January 2016 and June 2020 to address the drug overdose crisis. The funds were intended to support evidence-based responses, including medications for opioid use disorder, and other prevention, treatment and recovery activities. Although the SOR grants support much-needed community level interventions, many of the services they support may not be sustainable. Methods: This paper describes a statewide effort to support local entities through SAMHSA’s State Opioid Response (SOR) grants in Virginia. Our investigators conducted detailed needs assessment exercises with community agencies across the state, and collaboratively developed requests for proposals (RFPs) to sustain their SOR programs. We distributed the RFPs to prospective partners at universities across the state, and provided all responsive proposals to local agencies who selected the proposal most likely to meet their needs. Our investigators also conducted an inductive, three-phase content analysis approach to examine the RFPs submitted to the VHEOC to identify nominal categories of support requested of the academic partners. Results: Our investigators received and coded 27 RFPs from ten community agencies representing four of five regions of the state. We identified six nominal categories of academic support with high inter-coder agreement. The six categories of support requested of the academic partners were program development and support, literature review and best practices, outreach and education, data analysis and interpretation, program evaluation, and grant writing assistance. Several RFPs requested up to three categories of support in a single project. Conclusions: Our analysis of the requests received by the consortium identified several categories of academic support for SOR-grantees addressing the drug overdose crisis. The most common requests related to development and maintenance of supportive collaborations, which existing research has demonstrated is necessary for the long-term sustainability of SOR-funded services. In this way, the academic partners served as a source of support for sustainable SOR-funded programs. As the state opioid response program is implemented nationally, we hope that other states will consider similar models in response to the opioid crisis.

2019 ◽  
Author(s):  
Nathan Seltzer

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.


2019 ◽  
Vol 25 (6) ◽  
pp. 577-580 ◽  
Author(s):  
Hope M Tiesman ◽  
Srinivas Konda ◽  
Lauren Cimineri ◽  
Dawn N Castillo

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.


2020 ◽  
Vol 44 (7) ◽  
pp. 672-678
Author(s):  
Rachel Bonk ◽  
Ross J Miller ◽  
Joshua Lanter ◽  
Cheryl Niblo ◽  
Jesse Kemp ◽  
...  

Abstract To evaluate trends related to accidental overdose deaths in Oklahoma, with a focus on opioids and methamphetamine. All accidental drug overdose deaths in the state of Oklahoma from 2002 to 2017 were reviewed. Opioids were grouped into the following categories: all opioids, prescription opioids, synthetic opioids and heroin. Age-adjusted death rates for methamphetamine and each opioid category were calculated and analyzed. Accidental overdoses accounted for 9,936 deaths during the study period. Of these, opioids were seen in 62.9%, with prescription opioids comprising 53.8%, synthetic opioids 10.3% and heroin 2.8%. Synthetic opioids, despite a recent upward nationwide trend, showed a slight overall decrease (−6.8%) from 2009 to 2017. In contrast, methamphetamine showed a 402.2% increase from 2009 to 2017 and an overall increase of 1,526.7%. Methamphetamine was involved in the most overdoses (1,963), followed by oxycodone (1,724). Opioid-related deaths were most common among white individuals (90.3%) and showed a slight male predilection (56.9%). With the intent of assessing the opioid epidemic as it relates to accidental overdoses in Oklahoma, this study suggests that opioid-related overdoses have slowed in recent years amidst a sharp increase in methamphetamine deaths.


2017 ◽  
Vol 76 (4) ◽  
pp. 462-477 ◽  
Author(s):  
Ezequiel Brown ◽  
George L. Wehby

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.


2019 ◽  
Vol 34 (s1) ◽  
pp. s53-s53
Author(s):  
Sasha Rihter ◽  
Nathan Menke

Introduction:The opioid epidemic is overwhelming communities across the United States. West Virginia (WV) has been devastated, heralding a 86% increase in deaths from 2012-2016, and over 1,000 deaths last year as per WV Health Statistics Center. Treatment centers and providers have emerged throughout the state to provide medication-assisted treatment (MAT). The impact of these clinics on the opioid abusing population is not yet fully understood.Aim:Utilizing Geographic Information System (GIS), a comparison of MAT provider locations versus regions of historical overdoses can indicate areas of deficiency. If no providers emerge in underserved counties, overdose deaths in those areas will continue to rise.Methods:Maps were created using current DEA-X licenses in WV registered through Substance Abuse and Mental Health Services Administration (SAHMSA). Overdose death rates were taken from WV Public Health Records from 2010-2017. Two maps and corresponding data were compared for overlap or lack thereof.Results:Of the 338 locations of DEA-X licenses registered, 17.5% are in Cabell County, which led the state in overdose deaths in 2017. Only 2.5% of the total providers are currently in Wayne County, which had the second highest overdose death rate. Berkeley County, which was 3rd highest, has a mere 6.5% of total providers. Comparatively, Kanawah County, home to the state’s capital, has over twice this number of providers despite consistently having at or below the state average of overdose rates. Resources are pulled towards population-dense areas or university centers, where the epidemic is present but misses counties with higher overdose rates.Discussion:Results show a lack of MAT providers in many of WV’s devastated counties. Treatment centers exist throughout the state but are concentrated in regions with large cities or academic centers. This distribution limits accessibility to a marginalized patient population, making improvements unlikely in WV’s future opioid-overdose death rates.


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Sarah J. Nechuta ◽  
Jenna Moses ◽  
Molly Golladay ◽  
Adele Lewis ◽  
Julia Goodin ◽  
...  

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. 


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
David White ◽  
Lam Tran ◽  
Lin Ma

Objective. To examine the association between drug seizures and drug overdose deaths in Ohio from 2014 to 2018. Methods. We use linear regression, ARIMA models, and categorical data analysis to quantify the effect of drug seizure composition and weight on drug overdose deaths, to quantify the lag between drug seizures and overdose deaths, and to compare the weight distributions of drug seizures conducted by different types of law enforcement (national, local, and drug task forces). Results. Drug seizure composition and weight have strong predictive value for drug overdose deaths (F = 27.14, p < 1e-15, R² = .7799). A time series analysis demonstrates no statistically significant lag between drug seizures and overdose deaths or weight. Histograms and Kolmogorov-Smirnov tests demonstrate stark differences between seizure weight distributions of different types of law enforcement (p < 1e-7 for each pairwise comparison). Conclusions. Consideration of drug composition and weight can inform law enforcement seizure activity. To save lives, law enforcement should emphasize seizures of low weight drugs that contain fentanyl.


2021 ◽  
pp. 1-8
Author(s):  
Abhishek Ghosh ◽  
Adam Bisaga ◽  
Simranjit Kaur ◽  
Tathagata Mahintamani

<b><i>Introduction:</i></b> There is a need to strengthen the standard surveillance of the opioid overdose crisis in the USA. The role of Google Trends (GT) was explored in this context. <b><i>Methods:</i></b> In this study, a systemic GT search was done for a period from January 2004 to December 2018. “Naloxone” and “drug overdose” were chosen as search inputs. By using locally weighted scatterplot smoothing, we locally regressed and smoothed the relative search data generated by the GT search. We conducted a changepoint analysis (CPA) to detect significant statistical changes in the “naloxone” trend from 2004 to 2018. Cross-correlation function analyses were done to examine the correlation between 2 time series: year-wise relative search volume (RSV) for “naloxone” and “drug overdose” with the age-adjusted drug overdose mortality rate. Pearson’s correlation was performed for the state-wise age-adjusted mortality rate due to drug overdose and RSV for “naloxone” and “drug overdose.” <b><i>Results:</i></b> Smoothed and regressed GT of “naloxone” were similar to the “opioid overdose” trend published by the National Center for Health Statistics. The CPA showed 2 statistically significant points in 2011 and 2015. CPA of year-wise RSV for “naloxone” and “drug overdose” showed significantly positive correlation with the age-adjusted drug overdose mortality at lag zero. State-wise RSV for “naloxone” and “drug overdose” too showed a strong and significant positive correlation with the state-wise mortality data. <b><i>Discussion/Conclusion:</i></b> Inexpensive, publicly accessible, real-time GT data could supplement and strengthen the monitoring of opioid overdose epidemic if used in conjunction with the existing official data sources.


2019 ◽  
Vol 24 (6) ◽  
pp. 374-376
Author(s):  
Tom Warshawski ◽  
Curren Warf

Abstract Currently, there is a dangerous inconsistency between our current understanding of adolescent development and the effects of drugs on cognition when compared to our collective approach to youth who present in the emergency department with an opioid overdose. We call upon practitioners to embrace a new paradigm and we ask the Canadian Pediatric Society (CPS) to spearhead the development of guidelines to advise on best practices to manage youth who present to the emergency department with an illicit drug overdose.


Sign in / Sign up

Export Citation Format

Share Document