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Enregistrement W4404555887 · doi:10.1093/jat/bkae089

NSC-ADID position statement on performance impairment in safety-sensitive positions related to cannabis and other cannabinoids

2024· article· en· W4404555887 sur OpenAlexaff
M Corbett, Ruth E. Winecker

Notice bibliographique

RevueJournal of Analytical Toxicology · 2024
Typearticle
Langueen
DomainePharmacology, Toxicology and Pharmaceutics
ThématiqueForensic Toxicology and Drug Analysis
Établissements canadiensCanadian Standards Association
Organismes subventionnairesnon disponible
Mots-clésLibrary scienceStatement (logic)CannabisHistoryMedicineLawPolitical sciencePsychiatryComputer science

Résumé

récupéré en direct d'OpenAlex

The Alcohol, Drugs, and Impairment Division (ADID) of the National Safety Council (NSC) is a group of approximately 100 professionals, mostly forensic toxicologists, that develop tools such as position statements and assist NSC with policy to reduce death and injury from alcohol, drugs, and impairment. The following position statement was approved by a majority vote of the ADID. The ADID of the NSC supports policies that substantially reduce or eliminate safety risks from the use of cannabis (marijuana), other products with delta-9-tetrahydrocannabinol (Δ9-THC), its isomers and derivatives, and other impairing cannabinoids by persons in safety-sensitive positions. Some examples are Δ8-THC, Δ10-THC, Δ9-THC acetate (THC-O, THC-O acetate), Δ9-tetrahydrocannabiphorol (THC-P), and hexahydrocannabinol (HHC). “A safety-sensitive position can be defined as one that, if not performed in a safe manner, can cause direct and significant damage to property, and/or injury to the employee, others around them, the public and/or the environment” [1, 2]. Examples include pilots, police, military personnel, health care personnel, commercial drivers, and nuclear facility staff. Cannabis and related products can impair numerous aspects of human performance to include cognitive and psychomotor functions such as alertness, reaction time, estimating distance, decision-making, and memory. The National Academies of Sciences, Engineering and Medicine, (NASEM) concluded in 2017, “There is substantial evidence of a statistical association between cannabis use and increased risk of motor vehicle crashes” [3]. Δ9-THC has sites of action in the human brain associated with cognitive and psychomotor functions that are not reflected in its concentration in blood [4]. Therefore, when assessing impairment associated with cannabis use, Δ9-THC concentrations in biological fluids do not correlate with the degree of human performance impairment. There is no support from the literature for a Δ9-THC threshold concentration in biological fluids to ensure that there is no performance impairment in safety-sensitive positions. Recent studies proposed various wait-times depending on the route of consumption. For example, 5 h [5] or 8–12 h [6] after inhalation, and 12 h [6] after ingestion prior to performing in a safety-sensitive position. However, these proposals are not rigorous enough to ensure public safety, as almost all the studies reviewed involved single acute dosing and inhaled route of administration. There are large research gaps regarding vaping, oral, high doses, and multiple dosing of all routes of administration. Clear, robust scientific evidence from published studies is lacking to support persons working in safety-sensitive positions within 24 h after last use of cannabis and/or related products [7–14]. Some scientific evidence exists to support that some persons can safely perform safety-sensitive duties 1 week after last cannabis use [15, 16]. The bulk of scientific evidence reviewed would support most persons performing in a safety-sensitive position 1 month after last cannabis use [17–25]. Employers need to assess each job function and associated risk for accidents when defining cannabis use policies. A large body of research indicates that the use of cannabis and related products is more likely than not incompatible with the performance of safety-sensitive functions. NSC advised in 2019, “We urge employers to implement policies stating no amount of cannabis consumption is acceptable for those who work in safety sensitive positions” [26]. NSC maintains the safest policy that cannabis and related product use is incompatible with those persons engaged in safety-sensitive tasks and positions. NSC supports transferring workers to nonsafety-sensitive positions when using cannabis and other impairing cannabinoid products for recreational and/or medical purposes. None declared. No new data were generated or analyzed in support of this research.

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)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,225
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,031
Tête enseignante GPT0,400
Écart entre enseignants0,368 · 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
GenreEmpirique

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

En bref

Citations3
Publié2024
Routes d'admission1
Résumé présentoui

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