Pharmaceutical practices before and throughout the opioid crisis: A scoping review

Opioid misuse has reached epidemic status in many countries. This crisis—recognized since 2014—questions the practices of prescribing and dispensing. Did this public health issue change pharmaceutical practices? This literature review presents pharmaceutical practices regarding treatment of noncancer pain. We will assess whether these practices changed after the declaration of the crisis. We will also present barriers and facilitators to their implementation in real life to understand the distance between them and current practices. A scoping review of the literature was conducted on PubMed, Medline, and Embase for references dealing with pharmaceutical practices regarding noncancer pain management, in French and English, from 2000 to 2018. The search yielded 250 results, with 25 studies surviving the exclusion process. Twenty studies took place in the United States, the country most affected by the crisis. Interventions took place as interprofessional collaboration (n = 14), patient counseling (6), or a combination of these (5). Although the nature of the interventions remained constant through the crisis, the number of publications greatly increased over time. The studies demonstrated pharmacists’ upstream contributions regarding pain management and opioid use. Several large-scale implementation issues, including knowledge gaps and communication barriers, have been reported in these studies and in others that gathered opinions and perspectives of prescribers, pharmacists, and patients. Our review showed that the opioid crisis did not modify the nature of pharmaceutical practices regarding pain treatment and opioid management, but the number of studies reporting these practices greatly increased since its onset. Barriers to implementing the best practices to reduce opioid harm have been identified to explain slow integration in daily practice. Adjustments to teaching and practice methods such as a reviewed pain treatment curriculum, standardized tools, and decision-making algorithms could prove beneficial.