Evidence map›Paper›PMID 39450329›Full record

ArticleSubstance abuse and rehabilitation2024

A Framework for a New Paradigm of Opioid Drug Tapering Using Adjunct Drugs.

Michael A Veronin, Justin P Reinert

Abstract read
In one paragraph

Article in Substance abuse and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Michael A VeroninDepartment of Pharmaceutical Sciences and Health Outcomes The University of Texas at Tyler Ben and Maytee Fisch College of Pharmacy, Tyler, TX, USA.
Justin P ReinertDepartment of Pharmacy Practice The University of Toledo College of Pharmacy and Pharmaceutical Sciences, Toledo, OH, USA.ORCID 0000-0003-0321-5608

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The misuse of and dependency on prescription opioids represents a significant crisis at the national level, impacting not only the health of the public but also the societal and economic well-being. There is a critical need for strategies to reduce the dosage of prescribed opioids to limit opioid-associated adverse effects and lower the risk of addiction development in patients experiencing chronic pain. Opioid-sparing medications, when co-administered with opioids, enable a reduced opioid dose without loss of efficacy. This suggests the potential for using opioid adjunct drugs in opioid tapering, whereby opioid doses are lowered incrementally in a systematic manner to improve a patient's safety profile or quality of life. The objective of this report is two-fold: 1) to illustrate the potential for adjunct drugs in opioid tapering, and 2) to describe the steps needed to be taken to develop a framework for the use of adjunct drugs in opioid tapering. This can provide the impetus for further investigation into opioid tapering and the development of improved clinical care. The proposed project implements knowledge synthesis methods to develop the framework for a new paradigm of opioid drug tapering that incorporates opioid dosage reductions with adjunct drugs. Framework development is organized into three major phases: 1) Adjunct drug characterization, 2) Assessment of the opioid-sparing effect, and 3) Usability of data for clinicians. The knowledge gained from this project can provide a foundation for improved analgesia protocols for opioids and adjunctive drug therapy.

Indexed as

addiction riskknowledge synthesisopioid adjunctopioid-sparingopioid tapering

Identifiers

PMID39450329
PMCPMC11499166

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.