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Enregistrement W4409174185 · doi:10.1111/add.70061

Commentary on Young <i>et al</i> .: Clinical guidance is required for stimulant co‐prescription with opioid agonist therapy

2025· article· en· W4409174185 sur OpenAlexaboutno aff
Nadine Ezard, Krista J. Siefried, Brendan Clifford

Notice bibliographique

RevueAddiction · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueOpioid Use Disorder Treatment
Établissements canadiensnon disponible
Organismes subventionnairesUniversity of New South Wales
Mots-clésStimulantMedical prescriptionAgonistOpioidMedicinePsychologyOpioid-Related DisordersPsychiatryPsychotherapistAnesthesiaPharmacologyOpioid epidemicInternal medicineReceptor

Résumé

récupéré en direct d'OpenAlex

Young et al.'s [1] large Canadian cohort study showed no association between prescribed stimulants and opioid overdose among people on opioid agonist therapy, despite low rates of co-prescription, highlighting a need for clinical guidance on the management of coexisting opioid use disorder and attention-deficit hyperactivity disorder and/or stimulant use disorder. Young et al. [1] present new findings on the lack of a relationship between prescribed stimulants and opioid overdose from a Canadian cohort of people on opioid agonist therapy (OAT). The authors drew from a linked database of fatal and non-fatal opioid overdose in the province of British Columbia from 2015 to 2020. The authors found no association between stimulant co-prescription and overdose. Importantly, as the authors point out, the incidence of fatal overdose was low (1/500/year) [1], testimony to the protective role of OAT [2] and underscoring the importance of community access to effective OAT. Promoting effective initiation onto [3] and retention in [2] OAT is increasingly important in face of the rise of potent synthetic opioids and co-use with synthetic stimulants [4]. Stimulant prescription among people on OAT is an emerging therapeutic area that may have additional benefits over OAT alone. Prescription stimulants are first line pharmacotherapy for adults with attention-deficit hyperactivity disorder (ADHD) [5], which coexists with an important proportion of people with opioid use disorder (recent meta-analytic data suggest 20% [6]) and is associated with more severe opioid dependence and psychiatric comorbidity [7]. Young et al. [1] reported 4.4% of the 9395 participants had an ADHD diagnosis recorded; of those, 31% (212 participants) were prescribed a stimulant. Consistent with the literature [8], these data suggest a likely under-recognition and under-treatment of ADHD in an OAT population. Treatment of ADHD may improve retention in OAT [9]. Although the study was not designed to assess reasons for or patterns of stimulant prescription, more work is needed to explore the role of effective treatment of ADHD among people with opioid use disorder. Diagnosis of ADHD in adults with coexisting opioid use disorder (with or without concomitant non-prescribed stimulant use) is complicated by overlap in symptoms and lack of validated screening measures for substance use disorder populations. Consensus guidelines recommend routine screening and prompt diagnosis and treatment in people presenting with substance use disorder [10]. Emerging evidence suggests there may be a role for stimulant prescription for the management of stimulant use disorder at doses higher than for ADHD [11]. Co-use of stimulants with opioids is implicated in rising fatalities in North America, suggesting coexisting stimulant use disorder with opioid use disorder may be increasing at least in those countries. Yet only 38 people (0.4%) of the sample of 9395 people Young et al. [1] report on were noted to have a stimulant use disorder diagnosis, and only six (0.9%) of those prescribed a stimulant had a stimulant use disorder diagnosis. Indeed, the presence of a stimulant use disorder may preclude access to OAT [12]. Recent consensus guidelines for stimulant use disorder released by the American Society of Addiction Medicine and the American Academy of Addiction Psychiatry recommend consideration of off-label prescription of stimulants for the treatment of stimulant use disorder [13]. However, in the face of limited evidence for the treatment of coexisting opioid and stimulant use disorder, there are as yet no consensus OAT guidelines that comprehensively address concurrent treatment of stimulant use disorder. The Young et al. [1] data are drawn from administrative datasets and as such it is unclear whether the apparent low prevalence of ADHD and stimulant use disorder is an artefact of the data. It is difficult to interpret the rationale for stimulant prescription in this cohort, perhaps reflecting a lack of consistency, clarity and a regulatory framework for prescription of stimulants to people prescribed OAT. The study highlights the need to explore the role of stimulant co-prescription for both the treatment of stimulant use disorder and for the treatment of ADHD at the relevant doses for each of these conditions. New research from Norway exploring dexamfetamine prescription for amphetamine dependence among people on OAT may provide additional evidence [14] as will emerging evaluation data from Canadian safer supply measures that allow for prescription psychostimulants for the purposes of reducing harm from illegal stimulant use [15]. Context is outpacing evidence [3]. The manuscript of Young et al. [1] serves as a timely reminder of the need for consensus treatment guidelines for opioid use disorder that make recommendations for treatment of coexisting stimulant use disorder and other conditions such as ADHD. Nadine Ezard: Conceptualization (lead); project administration (lead); writing—original draft (lead); writing—review and editing (lead). Krista J. Siefried: Conceptualization (supporting); writing—original draft (supporting); writing—review and editing (supporting). Brendan Clifford: Conceptualization (supporting); writing—original draft (supporting); writing—review and editing (supporting). The authors have no financial interests to declare. The National Centre for Clinical Research on Emerging Drugs receives funding from the Australian Department of Health and Aged Care. Open access publishing facilitated by University of New South Wales, as part of the Wiley - University of New South Wales agreement via the Council of Australian University Librarians. Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

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 candidatesaucune
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 enseignants0,105
Score d'incertitude au seuil0,607

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,030
Tête enseignante GPT0,357
Écart entre enseignants0,327 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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