ReviewIntegrated pharmacy research & practice2016
Prescription opioid abuse: pharmacists' perspective and response.
Review in Integrated pharmacy research & practice, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Community-Centered Patient Journey Map in Opioid Use Disorder: A Tool to Address Compassion Fatigue among Community Pharmacists.Pharmacy (Basel, Switzerland) · 2023Article
- Article
- Community Pharmacist Utilization of Legislation That Allows Impact on the Opioid Crisis in the State of Minnesota: A Mixed-Methods Approach.Journal of pharmacy practice · 2020Article
- Evaluating Pharmacy Student Consultations with Standardized Patients on Opioid Medication Use and Opioid-Specific Risks.American journal of pharmaceutical education · 2019Article
- Applying Contemporary Management Principles to Implementing and Evaluating Value-Added Pharmacist Services.Pharmacy (Basel, Switzerland) · 2019Article
- Pharmacist Services in the Opioid Crisis: Current Practices and Scope in the United States.Pharmacy (Basel, Switzerland) · 2019Article
- Screening tools for detecting problematic opioid use and potential application to community pharmacy practice: a review.Integrated pharmacy research & practice · 2019Article
- Sociodemographic factors, prescription history and opioid overdose deaths: a statewide analysis using linked PDMP and mortality data.Drug and alcohol dependence · 2018Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Opioid medication abuse and overdose are major concerns for public health, and a number of responses to address these issues have taken place across the US. Pharmacists and the pharmacy profession have made important contributions as a part of the response to this national crisis. This article provides a brief review of the antecedents, driving forces, and health status of patients involved in the opioid medication and overdose epidemic. This review further discusses pharmacy-based actions that have been undertaken to address this issue, including prescription drug monitoring, take-back, and naloxone training/distribution programs. This review likewise examines current efforts underway in the field to educate practitioners and needed future steps that must be taken by pharmacists in order to continue the profession's pivotal role in working toward resolving this national public health problem. In particular, evidence and arguments are presented for proactively identifying and intervening with patients who abuse and/or are at risk for overdose. Continued and active engagement by pharmacists in these efforts has the potential to result in important reductions in opioid medication abuse and overdose and improvements for patient's health.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.