MétaCan
Menu
Back to cohort

THE HOLY GRAIL OF SUPPLY CONTROL: HAVE WE FOUND THE EVIDENCE?

2009· letter· en· W1518040201 on OpenAlexaboutno aff
Rebecca McKetin

Bibliographic record

VenueAddiction · 2009
Typeletter
Languageen
FieldSocial Sciences
TopicCrime, Illicit Activities, and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)BusinessMethamphetamineUnintended consequencesHeroinArgument (complex analysis)Holy GrailDrugPublic economicsPharmacologyMedicineEconomicsLawPolitical science

Abstract

fetched live from OpenAlex

Cunningham and colleagues [1] provide what is probably the most compelling evidence to date that precursor regulations, or indeed any supply control strategy, can have significant impacts on the retail market for illicit drugs. This research is particularly interesting if considered in the context of Cunningham's earlier work, which has shown that precursor regulations are followed by significant reductions in methamphetamine-related arrests and hospital admissions [2–4]. Linking these reductions to changes in the retail market for illicit methamphetamine (i.e. decreased purity), and showing that precursor regulations impact specifically on methamphetamine, fortifies the argument that precursor regulations are responsible for reductions in methamphetamine-related harms. This research is ground-breaking, in that it paves the way towards a more sophisticated analysis of how supply reduction interventions impact on harms from illicit drug use. One of the concerns about precursor regulations is the possibility that they may displace, rather than diminish, the supply and demand for drugs (i.e. decreases in the supply for methamphetamine may lead to increases in the supply and use of other drugs) [5]. The approach taken by Cunningham and his colleagues has the potential to assess or dispel such possible unintended consequences of precursor regulations. They demonstrate that no such displacement was apparent with respect to either cocaine or heroin purity. This is an important development, because it demonstrates that strategies which restrict the retail market for one illicit drug do not necessarily have unwanted negative effects on the retail market for other drugs. A caveat in this context, however, is the need to consider the impact of methamphetamine precursor controls on the supply of other synthetic drugs, which are likely to share a more similar supply chain to methamphetamine than crop-based illicit drugs such as heroin and cocaine. While the findings of Cunningham and colleagues are compelling, there is still much scope for improving our understanding of how precursor regulations impact on the retail market for illicit drugs. It is clear from Cunningham's work that this is not always a straightforward relationship. Precursor regulations in Canada appeared to have the unintended negative effect of increasing the purity of methamphetamine in the United States. This was not because the regulation was ineffective in Canada, but because of a competing supply channel for high-purity methamphetamine from Mexico to the United States. Caution is needed when inferring why specific precursor regulations are effective or ineffective, because their impact depends upon the context in which they are delivered. For example, Cunningham speculates that precursor regulations that target small-scale methamphetamine producers are ineffective. This inference assumes that small-scale manufacturers rely on over-the-counter cold and flu remedies while large-scale manufacturers do not—an assumption that may not hold true in all countries. The temporal context of interventions also deserves attention. If two different regulatory measures are implemented in rapid succession, the second may not have an immediate impact on drug purity beyond that produced by the first intervention (i.e. a floor effect). However, conventional wisdom about the diversion of precursor chemicals into clandestine drug manufacture suggests that regulating one source of a precursor leads clandestine chemists to seek alternative sources. In this situation, supplementary regulations are a safeguard against such shifts in the sourcing of precursor chemicals. They may not have a direct impact on methamphetamine purity, but they might prolong the impact of an earlier regulatory intervention. Finally, there has been much debate within the illicit drugs field about the comparative benefits of supply reduction and demand reduction approaches. Undoubtedly both are needed, and this fact has been recognized in international drug control policies [6]. However, there are people who argue that supply control is ineffective in controlling illicit drug use and that resources would be better spent on health and social interventions [7]. The difficulty with countering or confirming such arguments is that the impact of supply reduction strategies is rarely evaluated. Cunningham's work is commendable because it provides a framework for delivering empirical evidence that can be used to shape effective harm minimization strategies, regardless of whether they are delivered by the health sector or via drug law enforcement. 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.705
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.034
GPT teacher head0.293
Teacher spread0.258 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueAddictionSame topicCrime, Illicit Activities, and GovernanceFrench-language works237,207