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Record W1999855572 · doi:10.1111/add.12750

Commentary on Nolan<i>et al</i>. (2014): Opiate substitution treatment and hepatitis C virus prevention: building an evidence base?

2014· letter· en· W1999855572 on OpenAlexaboutno aff
Peter Vickerman, Kimberly Page, Lisa Maher, Matthew Hickman

Bibliographic record

VenueAddiction · 2014
Typeletter
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsnot available
FundersNational Institute on Drug AbuseInstitut National de la Santé et de la Recherche Médicale
KeywordsHarm reductionMedicineHepatitis CHeroinMethadoneObservational studyHepatitis C virusOpiate Substitution TreatmentEnvironmental healthHuman immunodeficiency virus (HIV)DrugPsychiatryFamily medicineInternal medicineVirologyOpioidVirusBuprenorphine

Abstract

fetched live from OpenAlex

The beneficial effects of opiate substitution treatment (OST) for people who inject drugs (PWID) encompass multiple domains and outcomes. This includes decreasing HIV acquisition risk by half 1, reducing drug-related mortality 2, 3, possibly enhancing adherence to HIV anti-retroviral treatment 4, diminishing crime 5 and the societal costs associated with drug use 6, increasing quality of life 5 and sometimes employment status 7, 8. However, until recently, the evidence for OST or any harm reduction intervention reducing the risk of hepatitis C virus (HCV) acquisition was classified as insufficient 9, 10. This situation began to change 3 years ago, when a pooled UK analysis of selected observational studies suggested for the first time that OST could reduce HCV acquisition risk among PWID by more than 50% and that the combination of OST and high-coverage needle and syringe distribution could reduce HCV acquisition risk by up to 80% 11. In recent months there has been a further strengthening of the evidence base, with results from the Vancouver Injecting Drug Use Study (VIDUS) published in this issue of Addiction 12 and two other prospective studies of PWID from Australia 13 and San Francisco, USA 14, each reporting that OST can reduce the risk of HCV acquisition by 50–80% (Table 1). Despite a similar effect size across all four studies, an important difference between the Australian paper 13 and the analyses from Vancouver and San Francisco is that White et al. included PWID only for whom OST was potentially indicated—i.e. those who reported primarily injecting heroin or other opioids 13. In contrast, both the Vancouver and San Francisco papers were inclusive of all cohort participants, including those for whom OST may not be indicated (such as methamphetamine and cocaine injectors), so the protective effects may be underestimated. While it is encouraging that the size of the protective effect is consistent across the studies in multiple sites, we recognize that these studies are all observational and at greater risk of selection bias and confounding than randomized controlled trials. For instance, in the Nolan study 12 there was a considerable difference in the HCV prevalence among people receiving and not receiving OST at baseline (24 versus 76%), as well as differences in drug-using patterns, which may suggest that the difference in risk may not entirely be due to the direct effects of OST on injecting behaviours. Importantly, methadone and buprenorphine are essential medicines that cannot be randomized in future studies and so the evidence base will have to be built from non-randomized observational studies such as these. What are the implications of these results for designing HCV prevention strategies? First, as highlighted by a recent modelling analysis 15, OST averts infections, with projections from the United Kingdom suggesting that current high coverage levels of OST (50% of PWID are currently on OST in the United Kingdom) may have contributed to reducing the chronic HCV prevalence from 57 to the 40% chronic prevalence it is now. OST may also have an accumulating effect—the longer the average duration on OST the greater the impact on reducing HCV risk 12 and drug-related mortality 2. Indeed, because economic analyses suggest that OST could be cost-saving when societal benefits are accounted for 6, or at least highly cost-effective if only health benefits are considered 6, then it seems that there should be no argument against scaling-up OST in all settings. There is a long way to go until we achieve the high levels of OST coverage that currently exist in some settings, such as the United Kingdom and Australia. Data from the last systematic review of intervention coverage among PWID suggested that the world-wide coverage of OST was, at best, 8% 16, and although many countries have since initiated OST programmes, in most settings recent data continue to show inadequate coverage of OST 17. This raises the spectre of the potentially enormous global prevention gap. For example, adapted results from our previous modelling analysis 15 suggest that scaling-up OST world-wide could avert between 1 and 2 million HCV infections during the next 10 years if it was scaled-up from less than 10 to 50% coverage (8 million) of all PWID. Although these calculations warrant more detailed modelling to capture the heterogeneities in different epidemics, they none the less highlight the potential substantial prevention benefit of scaling up OST. It is important to note, however, that although recent results (Table 1) suggest that OST is an essential component of any future HCV prevention strategy, it is not the only answer to HCV prevention. HCV prevalence remains persistently high in many countries despite high coverage of OST and needle and syringe distribution. It is likely that only by also scaling-up antiviral treatment and prophylactic vaccine development for HCV that prevalence can be significantly reduced 18, 19. None.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.124
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.348
Teacher spread0.292 · 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; a candidate call from one teacher head, not a consensus.

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

Citations14
Published2014
Admission routes1
Has abstractyes

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