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Record W3120505594 · doi:10.1111/add.15376

It is time to recognize that synthetic opioids are not going away

2021· letter· en· W3120505594 on OpenAlexaboutno aff
Amy S. B. Bohnert, Lewei Lin

Bibliographic record

VenueAddiction · 2021
Typeletter
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsnot available
FundersU.S. Department of Veterans Affairs
KeywordsFentanyl(+)-NaloxoneHeroinMedicineOpioid overdoseMedical prescriptionOpioidPsychological interventionAddictionIntensive care medicineDrugAnesthesiaPsychiatryPharmacology

Abstract

fetched live from OpenAlex

Addiction policy, research and treatment has largely treated the problems of fentanyl and synthetic opioids as a temporary crisis. Six years later, and with all signs pointing to continued spread of fentanyl in drug markets across North America, innovative approaches are needed. The article by Pardo and colleagues provides a novel discussion of the development and persistence of fentanyl and other synthetic opioid markets in a number of European countries and the United States and Canada [1]. In contrast to prior outbreaks, the current North American fentanyl surge shows no signs of waning. The idea that fentanyl is here to stay in North American drug markets seems little considered in policy, research and treatment circles, and the authors effectively draw attention to the problems caused by this oversight. As an example, there has been very little effort to adapt prior overdose prevention interventions or develop novel technology to address fentanyl risks specifically, despite the known differences between synthetic opioids, prescription opioids and heroin. The high dose amounts of fentanyl and other synthetic opioid overdoses can require multiple doses of naloxone [2], in some cases threatening stability of hospital naloxone supply when synthetics first enter a local drug market. However, innovations in overdose reversal drug development have seemed to have stalled after the early 2010s brought novel delivery methods, such as a nasal spray and auto-injector, geared towards addressing barriers for oral prescription opioid users. Furthermore, the very few fentanyl-specific interventions are based on the premise that no one is taking fentanyl intentionally. A key example are the programs to distribute fentanyl test strips to people who use street opioids so that the person given the strips can test a supply of heroin and discard the drugs if they turn out to have been contaminated with, or fully replaced by, fentanyl [3]. The idea that the vast majority of people who use opioids would be seeking to avoid use of fentanyl may have been true when fentanyl first entered the US heroin markets. However, a 2017 survey of people who use opioids in three East coast cities found that 27% endorsed the statement ‘I prefer drugs with fentanyl in them’ [4]. Further, in many locations where fentanyl has been in the drug market for several years, finding heroin not contaminated with synthetic opioids is no longer an option. Additionally, the issue of concurrent use of fentanyl and other substances needs more consideration in research. This is particularly true for the impact of fentanyl combined with cocaine and other stimulants, which poses unique challenges for both overdose prevention and addiction treatment. Although stimulants are the cause of fewer overdose deaths than fentanyl and other opioids, the evidence base for prevention and treatment is even more sparse. There are many unanswered questions in this area, including how treatment should be tailored for the heterogeneous group of patients who use stimulants and fentanyl, some whom may have underlying stimulant and opioid use disorders and others who primarily have an addiction to one substance or the other. Currently, there is concern that patients with underlying opioid use disorder who use other substances, including stimulants, may be less likely to receive medication treatment [5], even though this group may actually be more prone to overdose. At the same time, there is minimal knowledge about the effectiveness of standard medication treatments, namely buprenorphine, methadone and extended-release naltrexone, for patients with synthetic opioid use. There have been very few studies, including either randomized controlled trials or studies using secondary data, examining the efficacy of these medications in the synthetic opioid-using patient population [6]. Although treatment outcomes may be similar [7], there is reason to be concerned that dosing may need to be tailored for patients who are primarily using synthetic opioids, given the differences in potency. It is also unclear how the three medications compare for this patient population. Patients who use fentanyl can report a higher likelihood of precipitated withdrawals and more difficult experiences with buprenorphine induction compared to patients who use heroin or prescription opioids [8], which may be mitigated by different dosing strategies, but research in this area is also sparse. Thus, the authors’ call for new innovations that address the unique challenges of synthetic opioids is particularly critical, although this must be balanced with the fundamental need to improve all addiction prevention and treatment collectively. As synthetic opioid-related mortality increases in the western United States [9], we can no longer ignore that the fentanyl market is persisting, and need to prioritize research and funding to address this problem. L. A. L. is a Faculty Expert on alcohol use disorder for the National Committee for Quality Assurance with funding through a grant by Alkermes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.121
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.012

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.254
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2021
Admission routes1
Has abstractyes

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