EUVIMEDEuropean Health Evidence
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European Health Evidence

The European alternative to PubMed

EUVIMED is the European alternative to PubMed: a central, multilingual research platform for medicine, nursing, life sciences and healthcare. It brings together international and European literature sources, study registries, open-access full texts, citations and retraction notices in one search. Unlike pure bibliographic databases, EUVIMED supports the entire research process – from discovery and appraisal with LIVIA and CLARA to traceable evidence synthesis. European in focus, transparent, interoperable and designed for science and healthcare.

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Lokaler Crossref-Datenbestand · journal-article

Indications for Medical Cannabis and Their Alignment With US-Wide Disease Prevalences in the US’ Largest Medical Cannabis Program: Cross-Sectional Study

Sebastian Jugl, Nicole E Smolinski, Tansu Miriam Işılay Aydoğan, Almut G Winterstein

JMIR Public Health and Surveillance · 2026

Vollständiger Abstract

Worum geht es in dieser Arbeit?

Abstract This research letter compared the prevalence of qualifying conditions among patients certified to use medical cannabis in Florida to population-based prevalence estimates for the same conditions and observed marked discrepancies. These findings highlight conditions that appear to be significant reasons for patients to consider medical cannabis, providing important research priorities for future research on its effectiveness and safety.

Bibliografischer Nachweis

Publikationsdaten

Autor:innen
Sebastian Jugl, Nicole E Smolinski, Tansu Miriam Işılay Aydoğan, Almut G Winterstein
Quelle
JMIR Public Health and Surveillance
Publikation
2026-01-01
Band / Ausgabe
Nicht angegeben
Seiten
Nicht angegeben
ISSN / ISBN
2369-2960
Zitationen
0 laut Crossref
Referenzen
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Zitierfähiger Nachweis

Sebastian Jugl, Nicole E Smolinski, Tansu Miriam Işılay Aydoğan, Almut G Winterstein (2026). Indications for Medical Cannabis and Their Alignment With US-Wide Disease Prevalences in the US’ Largest Medical Cannabis Program: Cross-Sectional Study. JMIR Public Health and Surveillance. https://doi.org/10.2196/89716
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