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Enregistrement W3004707444 · doi:10.1111/add.14959

How experimental cannabinoid studies will inform the standardized THC unit

2020· letter· en· W3004707444 sur OpenAlexaboutno aff
Lucy Chester, Edward Chesney, Dominic Oliver, Jack Wilson, Amir Englund

Notice bibliographique

RevueAddiction · 2020
Typeletter
Langueen
DomaineMedicine
ThématiqueCannabis and Cannabinoid Research
Établissements canadiensnon disponible
Organismes subventionnairesMedical Research CouncilNational Institute for Health and Care Research
Mots-clésCannabisCannabidiolDronabinolCannabinoidMedicineUnit (ring theory)Δ9-tetrahydrocannabinolTetrahydrocannabinolPsychologyPsychiatry

Résumé

récupéré en direct d'OpenAlex

The tetrahydrocannabinol (THC) unit may facilitate significant advances in cannabis research and guidance for safe use. This must be supported by further experimental studies to provide accurate information on the effects of THC at different doses and administration routes, as well as the impact of CBD. We read with great interest the article by Freeman & Lorenzetti, which raises a very important topic in cannabis research. While there have been a number of suggestions in the past for standardized cannabis units, there is still a lack of consensus on how a unit should be defined 1-3. As noted by Freeman & Lorenzetti, current public health directives designed to limit high-risk cannabis use, such as Canada's Lower Risk Cannabis Use Guidelines, lack numerical dose recommendations 4. With the rapidly expanding range of cannabis-based products available on some legal markets, defining standard cannabis units has become necessary to provide clearer guidelines for users to reduce harms. Freeman & Lorenzetti suggest that standard cannabis units should be based on the quantity of the intoxicating component, tetrahydrocannabinol (THC), and conclude that a dose of 5 mg should be the benchmark for a standard unit. This would allow for consistent labeling and safety guidelines for all cannabis products, resulting in a greater clarity for consumers, clinicians and researchers. Freeman & Lorenzetti also outline some of the difficulties faced in defining a measure of cannabis, such as variations in other psychoactive compounds, namely cannabidiol (CBD), and the starkly different pharmacokinetic profiles of the drug across routes of administration. Experimental research should inform the design of a standard THC unit and subsequently guide both recreational users and clinicians as to expected effects. We believe that the THC unit should be related to the subjective effects of THC in novice or infrequent users. Such users are more likely to experience untoward effects due to lack of experience with the drug and the absence of tolerance 5, 6. We would suggest that the THC unit should be related to the minimum dose of THC required to produce levels of intoxication significantly different from placebo. This requires experimental placebo-controlled studies using precise doses of THC in a controlled environment. For example, Kleinloog et al. 7 collated results of 10 of their studies to compare doses of THC with placebo, using visual analogue scales (VASs) to measure subjective effects in infrequent cannabis users. In this article they reported that 2 mg of THC significantly differed from placebo in 58% of volunteers. Once a THC unit is established, further experimental studies can similarly be used to produce clear information on the likelihood of positive (e.g. euphoria, laughter) and negative effects (e.g. nausea, anxiety, paranoia) at multiples of units. They could also inform users of what the expected effects are depending on characteristics such as age, gender, body mass index and tolerance 5, 8, 9. There should also be further consideration into whether THC units can be standardized across different routes of administration, as there are major differences in the pharmacokinetic profiles of inhaled and orally ingested THC 10. Inhaled THC reaches peak plasma levels within minutes, while oral THC reaches peak plasma levels after 2 hours and effects start manifesting after an hour (depending on fasting status) 11. Standardizing units across multiple routes of administration could result in accidental over-intoxication and increase the likelihood of adverse events. It is also unclear whether tolerance extends across routes of administration, and experimental studies could compare the subjective effects of oral and inhaled THC within individuals with tolerance to only one route of administration. Lastly, as suggested by Freeman & Lorenzetti 4, the ability of CBD to mitigate the negative effects of THC are unclear. There have been contrasting results in the acute setting 12, 13, with some indication of benefit in the longer term for regular cannabis users 14. As evidence is currently scarce, more experimental studies are needed to clarify the potential benefits of CBD, both acutely and in longer-term use, before establishing a CBD unit. We believe the THC unit, as proposed by Freeman & Lorenzetti, lays the foundations for progress which, if supported by further experimental studies, has the potential to lead to significant advances in cannabis research as well as in clinical and recreational settings. Such studies can provide accurate information on effects of THC at different doses and administration routes, as well as the impact of CBD. With current global trends towards decriminalization and legalization, it is increasingly important for clear, informative guidelines to encourage safer use. We believe the THC unit will make a substantial contribution to informing such guidelines and future research. None. E.C. has received support from a National Institute for Health Research Doctoral Research Fellowship (NIHR300273). D.O. is supported by the UK Medical Research Council (MR/N013700/1) and King's College London member of the MRC Doctoral Training Partnership in Biomedical Sciences. J.W. is funded by the National Health and Medical Research Council (NHMRC) Postgraduate Research Scholarship. A.E. is funded by a grant from the Medical Research Council, UK (MR/P006841/1). L.C. is in receipt of a PhD studentship funded by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust andKing's College London. The views expressed are those of the author and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,202
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,038
Tête enseignante GPT0,322
Écart entre enseignants0,284 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2020
Routes d'admission1
Résumé présentoui

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