Evidence map›Paper›PMID 41801490›Full record

ArticleEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie2026

Patient reported cannabis use is associated with greater 24-hour postoperative opioid use but shorter length of stay in isolated tibial shaft fractures.

Brandi Krieg, Aaron Epperson, Tyler Scott, Mohamed Awad, Caleb Rosa, Songyuan Gu, Melissa Gorman, Nicholas Alfonso

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Article in European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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8 authors.

Brandi KriegDepartment of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, USA. brandi.krieg@cuanschutz.edu.
Aaron EppersonDepartment of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, USA.
Tyler ScottDepartment of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, USA.
Mohamed AwadDepartment of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, USA.
Caleb RosaDepartment of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, USA.
Songyuan GuDepartment of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, USA.
Melissa GormanDepartment of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, USA.
Nicholas AlfonsoDepartment of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, USA. NICHOLAS.ALFONSO@CUANSCHUTZ.EDU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study investigates postoperative morphine milligram equivalent (MME) consumption and healthcare utilization in patients using cannabis with tibial shaft fractures treated with intramedullary nail (IMN).

methodsA retrospective study at a single-center academic level 1 trauma center was conducted. This included patients with closed, isolated tibial shaft fractures treated with IMN. Patients were grouped based on self-reported cannabis use and compared using demographics, relevant history, comorbidities, baseline medication use, inpatient healthcare utilization, and readmission. The primary outcome was total inpatient MME within the first 24 h postoperatively. Secondary outcomes included length of hospital stay (LOS), total MME requirements for the index postoperative hospital stay, anesthesia requirements, and readmission rates.

resultsTwenty-one percent (45 out of 210) of patients with isolated tibial shaft fractures reported using cannabis prior to fixation. Cannabis users were younger and predominantly male. There were no differences between groups regarding other demographics, comorbidities, or average duration of follow-up; however, cannabis users reported higher rates of nicotine and alcohol use (p < 0.01). Cannabis users had a significantly shorter LOS by 16.8-h. Average inpatient MME requirements were higher among cannabis users compared to non-users in the first 24-h postoperative period (p = 0.02) but similar during entire index hospitalization (p = 0.65). Additionally, the rate of readmission was higher in the cannabis use group (p = 0.04).

conclusionsSelf-reported cannabis use had a significant effect on acute postoperative pain control in the first 24 h and length of hospital stay in tibial shaft fracture patients treated with intramedullary nailing. This should raise awareness regarding acute pain control in this patient population. More robust studies are needed on the effects of cannabis use on pain control in fracture care management.

Indexed as

Analgesics, OpioidLength of StayMarijuana UsePostoperative PainTibial FracturesAdultFemaleFracture Fixation, IntramedullaryHumansMaleMiddle AgedMorphinePatient ReadmissionRetrospective StudiesAnalgesics, OpioidMorphineCannabisMarijuanaPostoperative painTibia fractures

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.