Intravenous Acetaminophen and Hydromorphone: The Bad and the Ugly of Emergency Department Pain Management
Notice bibliographique
Résumé
The Editor: We read with great interest the study by Bijur et al.1 that evaluated the analgesic efficacy of intravenous (IV) acetaminophen as an adjunct to IV hydromorphone for the treatment of severe, acute pain in the emergency department (ED). The study found that there was no significant difference in analgesia when 1 g of IV acetaminophen was added to 1 mg of IV hydromorphone. While we are in complete agreement with the authors about the utilization of combinations of analgesics from different therapeutic classes, we were surprised by the study of these two specific drugs. Intravenous acetaminophen is a nontitratable and weak analgesic that does not result in opioid sparing or reduce opioid-related adverse effects. Additionally, it does not provide analgesic superiority over the oral and rectal routes beyond the initial 15 minutes after administration. Furthermore, a prohibitive acquisition cost would preclude most EDs from utilizing this medication routinely for pain control.2 The addition of a single dose of this weak analgesic to an extremely potent opioid is unlikely to affect the analgesic efficacy of the latter and can be misinterpreted to bolster support for this opioid. The authors acknowledge that reducing opioid use and exploring nonopioid modalities are important in curbing opioid-related consequences. However, the choice of opioid is also important, as individual opioids have different abuse liability and adverse effect profiles. IV hydromorphone's high lipophilicity allows it to cross the blood brain barrier rapidly, resulting in euphoria and reinforcing effects. As such, hydromorphone has a higher potential for addiction and abuse than other opioids such as morphine. Previous research has demonstrated that oral and parenteral hydromorphone produced significantly more euphoria and reinforcement than morphine in individuals with a history of opioid dependence. These findings have also been replicated in individuals without a history of opioid use disorder. Additionally, hydromorphone has had a 438% increase in nonmedical use from 2004 to 2011 and a significant increase in street value compared to less abuse-liable opioids.3 Hydromorphone is used as a heroin substitute in "heroin" vending machines in Vancouver, Canada.4 In addition to increased recreational use potential, parenteral hydromorphone causes significantly higher rates of excessive sedation, hypoxia, respiratory depression, and the need for naloxone administration compared with other opioids. Many of the adverse events have been attributed to excessive hydromorphone dosing.3 At this time, we do not know how the acute parenteral administration of hydromorphone contributes to subsequent opioid use or addiction, but there are indicators that hydromorphone is more dangerous than other opioids. Hydromorphone should not be the first-line opioid used in the ED. While we do advocate for continued research examining combinations of opioid and nonopioid therapies for both efficacy and harm from opioid analgesics, we hope that future studies will focus on studying less abuse-liable but equianalgesic opioids as part of opioid stewardship efforts in cost-conscious manner.
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 | 0,003 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,003 | 0,005 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,013 | 0,024 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,003 |
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 ».