Evidence map›Paper›PMID 40839659›Full record

Trial reportPain2025

A within-subject, double-blind, placebo-controlled randomized evaluation of the combined effects of cannabidiol and hydromorphone in a human laboratory pain model.

Cecilia L Bergeria, Chung Jung Mun, Traci J Speed, Andrew S Huhn, David Wolinsky, Ryan Vandrey, Claudia M Campbell, Kelly E Dunn

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Cecilia L BergeriaDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0002-8183-1273
Chung Jung MunEdson College of Nursing and Health Innovation, Center for Health Promotion and Disease Prevention, Arizona State University, Tempe, AZ, United States.
Traci J SpeedDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Andrew S HuhnDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
David WolinskyDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Ryan VandreyDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Claudia M CampbellDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Kelly E DunnDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Funding

HUMAN BEHAVIORAL PHARMACOLOGY OF SUBSTANCE ABUSET32DA007209 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Eric C. Strain, Elise M Weerts · 1985 to 2026
$12.9M
Using Cannabinoids to Enhance Opioid Analgesic Effects in HumansR01DA040644 · NIDA · JOHNS HOPKINS UNIVERSITY · PI CAMPBELL, CLAUDIA MICHELLE, DUNN, KELLY E · 2016 to 2021
$3.4M
A118G SNP and OPRM1 Gene Opioid-Mediated Effects in HumansR01DA035246 · NIDA · JOHNS HOPKINS UNIVERSITY · PI DUNN, KELLY E · 2014 to 2018
$3.2M
Opioid and cannabinoid combinations in laboratory and clinical painR01DA042751 · NIDA · JOHNS HOPKINS UNIVERSITY · PI CAMPBELL, CLAUDIA MICHELLE, DUNN, KELLY E · 2017 to 2020
$2.2M
NIDA NIH HHS R01 DA035246NIDA NIH HHS R01 DA040644NIDA NIH HHS R01 DA042751NIDA NIH HHS R01 DA050644NIDA NIH HHS T32 DA007209
6 · The paper itself

Abstract

abstractPreclinical and epidemiological evidence supports that cannabinoids may have opioid-sparing properties and could be one strategy to decrease opioid use and associated harms like overdose and extramedical use. The objective of this within subjects, double-blind, double-dummy, randomized human laboratory trial was to examine whether cannabidiol (CBD) increases opioid analgesic effects and whether there are corresponding increases in other opioid mediated effects. Healthy participants (N = 31) attended 5 outpatient sessions where they received the following drug conditions: (1) placebo + placebo, (2) 4 mg hydromorphone + placebo, (3) 4 mg hydromorphone + 50 mg CBD, (4) 4 mg hydromorphone + 100 mg CBD, and (5) 4 mg hydromorphone + 200 mg CBD. Before and at multiple time points after drug administration, participants completed (1) quantitative sensory testing, which induced and assessed acute and chronic laboratory models of pain; (2) standard assessments, which queried acute subjective drug effects; and (3) tasks, which assessed psychomotor performance. When combined with a dose of hydromorphone that did not reliably produce analgesic effects on its own, CBD increased the analgesic effects for some laboratory acute pain outcomes but none of the laboratory chronic pain outcomes. At the highest dose of CBD (200 mg), there were concurrent increases in self-report Bad Effects and adverse effects that were not observed at lower doses of CBD (50 mg). Cannabidiol mitigated psychomotor impairment observed with hydromorphone alone. These findings suggest that lower doses of CBD (50 mg) may have utility for enhancing acute analgesic properties of opioids without having corresponding increases in bad effects.

Indexed as

Analgesics, OpioidCannabidiolHydromorphonePainAdultDose-Response Relationship, DrugDouble-Blind MethodFemaleHumansMaleMiddle AgedPain MeasurementYoung AdultAnalgesics, OpioidCannabidiolHydromorphoneAnalgesiaCannabidiolDrug effectsHydromorphoneQuantitative sensory testing

Identifiers

PMID40839659
PMCPMC12353022

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.