Literature DB >> 26000678

Reducing opioid analgesic deaths in America: what health providers can do.

Taghogho Agarin1, Andrea M Trescot, Aniefiok Agarin, Doreena Lesanics, Claricio Decastro.   

Abstract

BACKGROUND: Available data have shown steady increases of drug overdose deaths between 1992 and 2011. We review evidenced-based recommendations provided by a few prominent North American pain societies and suggest ways on how health providers might help reduce opioid analgesic deaths by implementing these practices.
OBJECTIVE: To identify health care providers' roles in reducing opioid analgesic deaths. STUDY
DESIGN: A comprehensive review of current literature.
METHODS: The review included relevant literature identified through searches of MEDLINE, Cochran reviews, and Google Scholar, PubMed and EMBASE from January 1998 to January 2014. The level of evidence was classified as I (good), II (fair), and III (limited) based on the quality of evidence developed by the U.S. Preventive Services Task Force (USPSTF).
RESULTS: Several practices such as too high doses overall, giving too high doses to opioid naive patients, too fast opioid titration, insufficient use and knowledge of urine drug testing, not updating knowledge of drug metabolism/interactions, and inadequate patient monitoring are associated with higher risks of opioid analgesic deaths. Suboptimal risk stratification of patients, rotation practices, and use of opioids analgesics in chronic noncancer pain are also associated factors. LIMITATIONS: There were a paucity of good evidence studies which show recommendations reduce death.
CONCLUSION: Providers should be aware of all associated factors with opiate analgesic deaths and apply the available evidence in reducing opioid analgesic deaths.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26000678

Source DB:  PubMed          Journal:  Pain Physician        ISSN: 1533-3159            Impact factor:   4.965


  12 in total

1.  Tolerance and cross-tolerance to the antinociceptive effects of oxycodone and the imidazoline I2 receptor agonist phenyzoline in adult male rats.

Authors:  David A Thorn; Yanan Zhang; Jun-Xu Li
Journal:  Psychopharmacology (Berl)       Date:  2017-03-17       Impact factor: 4.530

Review 2.  Current State of Opioid Therapy and Abuse.

Authors:  Laxmaiah Manchikanti; Adam M Kaye; Alan D Kaye
Journal:  Curr Pain Headache Rep       Date:  2016-05

3.  Risk factors for severe respiratory depression from prescription opioid overdose.

Authors:  Lindsay M Fox; Robert S Hoffman; David Vlahov; Alex F Manini
Journal:  Addiction       Date:  2017-09-06       Impact factor: 6.526

4.  The risks of opioid treatment: Perspectives of primary care practitioners and patients from safety-net clinics.

Authors:  Emily E Hurstak; Margot Kushel; Jamie Chang; Rachel Ceasar; Kara Zamora; Christine Miaskowski; Kelly Knight
Journal:  Subst Abus       Date:  2017-04-10       Impact factor: 3.716

5.  Assessment of the Utility of the Oral Fluid and Plasma Proteomes for Hydrocodone Exposure.

Authors:  Brooke L Deatherage Kaiser; Jon M Jacobs; Athena A Schepmoes; Heather M Brewer; Bobbie-Jo M Webb-Robertson; Sandra Valtier; Vikhyat S Bebarta; Joshua N Adkins
Journal:  J Med Toxicol       Date:  2019-11-01

6.  Changes in pain and concurrent pain medication use following compounded topical analgesic treatment for chronic pain: 3- and 6-month follow-up results from the prospective, observational Optimizing Patient Experience and Response to Topical Analgesics study.

Authors:  Jeffrey A Gudin; Michael J Brennan; E Dennis Harris; Peter L Hurwitz; Derek T Dietze; James D Strader
Journal:  J Pain Res       Date:  2017-10-03       Impact factor: 3.133

7.  Genetic Testing for Opioid Pain Management: A Primer.

Authors:  Deepti Agarwal; Mercy A Udoji; Andrea Trescot
Journal:  Pain Ther       Date:  2017-04-13

Review 8.  A Review of the Opioid Epidemic: What Do We Do About It?

Authors:  Edward A Shipton; Elspeth E Shipton; Ashleigh J Shipton
Journal:  Pain Ther       Date:  2018-04-06

9.  A Predictive Algorithm to Detect Opioid Use Disorder: What Is the Utility in a Primary Care Setting?

Authors:  Chee Lee; Maneesh Sharma; Svetlana Kantorovich; Ashley Brenton
Journal:  Health Serv Res Manag Epidemiol       Date:  2018-01-21

10.  A prospective, longitudinal study to evaluate the clinical utility of a predictive algorithm that detects risk of opioid use disorder.

Authors:  Ashley Brenton; Chee Lee; Katrina Lewis; Maneesh Sharma; Svetlana Kantorovich; Gregory A Smith; Brian Meshkin
Journal:  J Pain Res       Date:  2018-01-05       Impact factor: 3.133

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.