Contextualizing Mental Health Comorbidities in SUD Patients Leading to Increased Risk of Overdose: A Systematic Literature Review
Notice bibliographique
Résumé
Introduction: Despite increased awareness of the risk associated with drug overdose, it remains a significant public health concern in North America. In the case of Substance Use Disorder (SUD), comorbid mental illness has been found to increase risk of overdose. This systematic review aims to identify, assess and contextualize common comorbidities associated with SUD that have contributed to overdose occurrences. Methods: A comprehensive literature search was conducted to identify major comorbidities associated with SUD. PubMed, Embase, MEDLINE, and Web of Science were utilized. Peer-reviewed primary studies were included if they examined the prevalence of SUD in conjunction with a comorbidity involving mental illness. To establish a correlation with real-world overdose cases, the collected data was compared with coroner data to determine if current drug and comorbidity research in literature was reflective of the most prevalent forms of overdose in the general population. Results were summarized following the PRISMA guidelines. Results: A total of 60 papers investigating SUD with a comorbidity involving mental illness comorbidity were identified. Alcohol and cannabis were the most frequently studied substances, while Depressive and Anxiety disorders were the most common mental illness comorbidities examined. Geographically, these findings were consistent with studies from the US. However, in Canada, opioids were the most extensively studied substances, with Depressive and Neurodevelopmental disorders being the most commonly investigated mental illness comorbidities. Discussion: Comparison with coroner data suggests that greater research focus should be directed towards substances with greater potential for harm and fatal overdose. This emphasis on specific drugs can help improve overall mortality rates among SUD patients with comorbid mental illnesses. In Canada, this could involve conducting further research on stimulants such as cocaine and methamphetamine, and in the US with fentanyl. Conclusion: A disconnect between the substances studied in the literature and their real-world impact was found. Bridging this gap is essential to develop evidence-based interventions for comorbid SUD. More research on SUD, mental health comorbidity and overdose trends are needed to improve relevance to real-world scenarios.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,035 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,006 |
| Bibliométrie | 0,015 | 0,013 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».