Opioid Crisis during the COVID-19 Pandemic
A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Coronaviruses (CoV) and COVID-19 Pandemic".
Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 12612
Special Issue Editor
Special Issue Information
Dear Colleagues,
Half a million deaths worldwide are attributable to drug use, and opioid overdose accounted for more than 30% of those deaths. Like many other countries, America witnessed a spike in drug overdose deaths since the start of COVID-19. In the United States, opioid overdose is mainly driven by illicitly produced synthetic opioids and misuse of opioid prescriptions. Despite the availability of medication-assisted treatment (MAT) with buprenorphine, methadone, and naloxone for opioid use disorder (OUD), the COVID-19 pandemic created unique challenges for access to treatment for people with OUD and those in recovery. Therefore, it is critical to understand the multidimensional landscapes of opioid use in the age of COVID-19 to mitigate the opioid overdose crisis and ensure adequate access to opioids for patients needing appropriate pain management.
As an internationally well-recognized journal with global impact, Healthcare is releasing a Special Issue to investigate the global opioid epidemic and aims to provide high-quality investigations. This Special Issue aims to seek out the most contemporary evidence-based studies considering health utilization and policy of opioids, MAT, and cancer treatment in the COVID-19 era. Some topics of this Special Issue include, but are not limited to, the following:
- Opioid-related policy in the age of COVID-19;
- Risk factors for opioid overdose;
- MAT provision, coverage, and financing models;
- Optimizing the use of opioid prescriptions in the management of cancer pain;
- Challenges and responses of healthcare systems/sectors;
- New technology in opioid use disorder diagnosis and management;
- Others.
Dr. Sherry Yun Wang
Guest Editor
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Keywords
- Opioid
- Cancer treatment
- Medication-assisted treatment
- COVID-19
- Policies
- Machine learning
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