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Opioid Use Disorder: Treatments and Barriers

Authors: Aaron R. Lyon; Ank A. Agarwal; Karan Patel; Sean Bunachita; Urvish K Patel;

Opioid Use Disorder: Treatments and Barriers

Abstract

Over the last decade, opioid use around the world has risen considerably and is projected to continue to rise at an alarming rate. As opioid use rises, so too does the number of people who suffer from opioid use disorder (OUD) and opioid overdose-related deaths. As science and medicine progresses, new medications and therapies have arisen in order to help treat patients suffering from addiction. Treatment can be split into two main domains: pharmacological and non-pharmacological. Buprenorphine and methadone, currently the most prescribed medications for patients suffering from OUD, have been shown to be extremely effective in clinical trials but have significant real-world limitations. Geographical disparities between various locations, physician stigma with prescribing these medications, and training required to prescribe medication can make access to these treatments difficult for patients. Non-pharmacological interventions have also been shown to help with limited efficacy when combined with pharmacological interventions. However, the time and resources required to implement these strategies may be a difficult barrier to overcome. In this review, we assess pharmacological interventions, non-pharmacological treatments, examine barriers to treatment for patients, and propose solutions to bypass these barriers.

Keywords

Epidemiology/Public Health

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
Green
gold