EFFECT of reductions in OPIOID prescribing on opioid use disorder and fatal overdose in the united states: A dynamic Markov model

Addiction ◽  
2021 ◽  
Author(s):  
G. Caleb Alexander ◽  
Jeromie Ballreich ◽  
Omar Mansour ◽  
David W. Dowdy
2020 ◽  
Author(s):  
John A. Furst ◽  
Nicholas J. Mynarski ◽  
Kenneth L. McCall ◽  
Brian J. Piper

AbstractObjectiveMethadone is an evidence based treatment for opioid use disorder and is also employed for acute pain. The primary objective of this study was to explore methadone distribution patterns between the years 2017 and 2019 across the United States (US). This study builds upon previous literature that has analyzed prior years of US distribution patterns, and further outlines regional and state specific methadone trends.MethodsThe Drug Enforcement Administration’s Automated Reports and Consolidated Ordering System (ARCOS) was used to acquire the number of narcotic treatment programs (NTPs) per state and methadone distribution weight in grams. Methadone distribution by weight, corrected for state populations, and number of NTPs were compared from 2017 to 2019 between states, within regions, and nationally.ResultsBetween 2017 and 2019, the national distribution of methadone increased 12.30% for NTPs but decreased 34.57% for pain, for a total increase of 2.66%. While all states saw a decrease in distribution for pain, when compared regionally, the Northeast showed a significantly smaller decrease than all other regions. Additionally, the majority of states experienced an increase in distribution for NTPs and most states demonstrated a relatively stable or increasing number of NTPs, with an 11.49% increase in NTPs nationally. The number of NTPs per 100K in 2019 ranged from 2.08 in Rhode Island to 0.00 in Wyoming.ConclusionAlthough methadone distribution for OUD was increasing in the US, there were pronounced regional disparities.


Author(s):  
M. Aryana Bryan ◽  
Valerie Hruschak ◽  
Cory Dennis ◽  
Daniel Rosen ◽  
Gerald Cochran

Opioid-related deaths by overdoses quadrupled in the United States from the years 1999 to 2015. This rise in mortality predominately occurred in the wake of historic changes in pain management practices and aggressive marketing of opioid medications such as oxycontin. Prescription opioid misuse and subsequent addiction spilled over to heroin and fentanyl for many. This drug epidemic differed from others in its impact among non-Hispanic whites, leading to drastic changes in how the United States views addiction and chooses to respond. This article offers an overview of opioid use disorder (OUD), its treatment and its relationship with pain. It also discusses special populations affected and provides insight into future directions for research and social work practice surrounding opioid management in the United States. Because of the profession’s emphasis on the person and social environment as well as its focus on vulnerable and oppressed populations, social work plays a critical role in addressing the crisis.


2018 ◽  
Vol 175 (1) ◽  
pp. 47-53 ◽  
Author(s):  
Mark Olfson ◽  
Melanie M. Wall ◽  
Shang-Min Liu ◽  
Carlos Blanco

2021 ◽  
Vol 12 ◽  
Author(s):  
Walter C. Prozialeck ◽  
Peter C. Lamar ◽  
Michael Krupp ◽  
Matthew Moon ◽  
Laura E. Phelps ◽  
...  

Kratom (Mitragyna speciosa, Korth.) is an evergreen tree that is indigenous to Southeast Asia. When ingested, kratom leaves or decoctions from the leaves have been reported to produce complex stimulant and opioid-like effects. For generations, native populations in Southeast Asia have used kratom products to stave off fatigue, improve mood, alleviate pain and manage symptoms of opioid withdrawal. Despite the long history of kratom use in Asia, it is only within the past 10–20 years that kratom has emerged as an important herbal agent in the United States, where it is being used for the self-treatment of pain, opioid withdrawal symptoms, and mood disorders. The increase in the use of kratom in the United States has coincided with the serious epidemic of opioid abuse and dependence. Since 2015, efforts to restrict access to prescription opioids have resulted in a marked increase in the use of “street” opioids such as heroin and illicit fentanyl. At the same time, many patients with chronic pain conditions or opioid use disorder have been denied access to appropriate medical help. The lack of access to care for patients with chronic pain and opioid use disorder has been magnified by the emergence of the COVID-19 pandemic. In this report, we highlight how these converging factors have led to a surge in interest in kratom as a potential harm reduction agent in the treatment of pain and opioid use disorder.


2021 ◽  
Vol 4 (7) ◽  
pp. e2118223
Author(s):  
Paul J. Joudrey ◽  
Zoe M. Adams ◽  
Paxton Bach ◽  
Sarah Van Buren ◽  
Jessica A. Chaiton ◽  
...  

2020 ◽  
Vol 7 (1) ◽  
pp. 85-93
Author(s):  
Peter Mallow ◽  
Michael Mercado ◽  
Michael Topmiller

Objectives: The Cincinnati region has been at the epicenter of the nation’s unfolding opioid epidemic. The objectives of this study were twofold: (1) to compare the Cincinnati region to the United States in length of time to obtain treatment and planned medication-assisted therapy for the treatment for opioid use disorder (OUD); and (2) to assess racial disparities within the Cincinnati region in wait time and type of treatment. Methods: The 2017 Treatment Episode Data Set: Admissions (TEDS-A) from the Substance Abuse and Mental Health Services Administration (SAMHSA) was used to identify a cohort of eligible individuals with a primary substance use of opioids, including opioid derivatives. Logistic regression models were performed to assess the differences for treatment wait time and type of planned treatment. Model covariates included patient demographics and socioeconomic characteristics. Three different models were performed to assess the influence of covariates of the outcomes. Results: There were 678 766 US and 3298 Cincinnati region individuals admitted for OUD treatment in 2017. The rate per 1000 for treatment admissions was 2.08 and 1.51 (P value < 0.0001) for the United States and Cincinnati, respectively. The fully saturated regression results found that the odds of Cincinnati individuals receiving planned medication-assisted therapy were 0.497 (95% CI, 0.451–0.546; P value < 0.001). The odds of waiting longer for treatment in Cincinnati were higher than in the United States as a whole: 2.33 (95% CI, 2.19–2.48; P value < 0.001). In Cincinnati, there were 3102 Caucasian, 123 African American, and 73 Other admissions. The fully saturated model results found that Caucasians and Other had an increased likelihood of receiving planned medication-assisted therapy (OR 1.89, P value 0.039; OR 7.07, P value 0.002, respectively) compared to African Americans. Within Cincinnati, there was not a statistically significant difference in the likelihood of waiting time to receive treatment by race. Conclusion: Individuals seeking treatment for OUD in Cincinnati were less likely to receive planned medication-assisted therapy and were more likely to wait longer than individuals in the United States as a whole. These results suggest that the demand for treatment is greater than the supply in Cincinnati. Within Cincinnati, there does not appear to be a racial disparity in treatment type or length of time to receive treatment for OUD.


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