The effects of tetrahydrocannabinol and cannabidiol on sleep in cancer patients

Higher CBD doses may be associated with clinically meaningful improvements in sleep in cancer patients enrolled in a medical cannabis program.

Authors

Institutions

Publication Details

Journal
Clinical & Translational Oncology
Published
2025-10-21
DOI
https://doi.org/10.1007/s12094-025-04069-8
Primary Topic
Cannabis and Cannabinoid Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The effects of tetrahydrocannabinol and cannabidiol on sleep in cancer patients

Faith Dickerson, Betty Chewning, Heather B. Neuman, Apoorva Reddy et al.
Clinical & Translational Oncology
Cannabis and Cannabinoid Research
article

The effects of tetrahydrocannabinol and cannabidiol on sleep in cancer patients

Faith Dickerson, Betty Chewning, Heather B. Neuman, Apoorva Reddy, Kristine L. Kwekkeboom, John M. Hampton, Susan Park, Natalie Schmitz, Amy Trentham-Dietz
article en

Abstract

Higher CBD doses may be associated with clinically meaningful improvements in sleep in cancer patients enrolled in a medical cannabis program.

Clinical & Translational OncologyVol. 28(4)
University of Wisconsin–Madison (US), BRS Aerospace (United States) (US), University of Wisconsin Carbone Cancer Center (US)
Georgia Clinical and Translational Science Alliance, Institute for Clinical and Translational Research, University of Wisconsin, Madison, National Center for Advancing Translational Sciences
Openalex Percentile: Top 66%
Cannabis and Cannabinoid Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.