Evidence map›Paper›PMID 38991269›Full record

Trial reportJournal of psychiatric research2024

A preliminary investigation of the acute effects of delta-9-tetrahydrocannabinol on pain and opioid attentional bias among persons with opioid use disorder.

Noah R Wolkowicz, Mehmet Sofuoglu, Brian Pittman, Julia Meyerovich, R Ross MacLean, Joao P De Aquino

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of psychiatric research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Noah R WolkowiczDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA. Electronic address: Noah.Wolkowicz@va.gov.
Mehmet SofuogluDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA.
Brian PittmanDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Julia MeyerovichDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA.
R Ross MacLeanDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA.
Joao P De AquinoDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA; Clinical Neuroscience Research Unit, Connecticut Mental Health Center, New Haven, CT, USA. Electronic address: joao.deaquino@yale.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Cannabidiol Pharmacotherapy for Comorbid Opioid Addiction and Chronic PainK23DA052682 · NIDA · YALE UNIVERSITY · PI DE AQUINO, JOAO PAULO · 2021 to 2025
$959k
Pharmacokinetics and Pharmacodynamics of Oral and Vaporized THC in Older AdultsR21DA057240 · NIDA · YALE UNIVERSITY · PI DE AQUINO, JOAO PAULO · 2022 to 2023
$360k
An adaptive walking intervention to manage chronic pain in veterans with opioid use disorder engaged in opioid agonist treatmentIK2CX002286 · VA · VA CONNECTICUT HEALTHCARE SYSTEM · PI Robert Ross MacLean · 2022 to 2026
–
CSRD VA IK2 CX002286NCATS NIH HHS UL1 TR001863NIDA NIH HHS K23 DA052682NIDA NIH HHS R21 DA057240
6 · The paper itself

Abstract

introductionAttentional bias (AB) is believed to be an important factor in the development and maintenance of both opioid use disorder (OUD) and chronic pain. Cannabis and its main psychoactive constituent, delta-9-tetrahydrocannabinol (THC), produce analgesic effects via processes that are potentially relevant to AB and is commonly used by persons with OUD. This exploratory study investigated if THC influences AB towards pain and opioid cues individuals with OUD.

methodsUsing a within-subject, crossover design, 27 adults receiving methadone were randomly assigned to receive single doses of oral THC (10 mg, 20 mg administered as dronabinol) or placebo across three, 5-h sessions. During each session, a visual probe task was used to measure AB to pain and opioid cues at baseline and 120 min post-THC administration.

resultsMixed-effects models examined main effects of THC dose, time, and their interaction across all participants; findings were then stratified by methadone dose (low dose <90 mg/day and high dose ≥90 mg/day). Among individuals receiving high doses of methadone, a significant interaction was observed such that AB towards opioids increased following 10 mg THC administration and decreased following 20 mg THC administration. Additionally, participants receiving low doses of methadone showed significant increases in the variability of opioid-related AB post THC administration.

conclusionWe provide preliminary evidence showing that THC may cause dose-dependent effects on selective attention for opioid cues among methadone patients. These results underscore the need for further clinical investigation into the effects of cannabinoids and other substances with potential analgesic and addictive properties among persons with OUD.

Indexed as

Attentional BiasCross-Over StudiesDronabinolOpioid-Related DisordersAdultAnalgesics, OpioidCuesDose-Response Relationship, DrugDouble-Blind MethodFemaleHumansMaleMethadoneMiddle AgedPainYoung AdultAnalgesics, OpioidDronabinolMethadone

Identifiers

PMID38991269
PMCPMC11371499

What OpenQuestion holds

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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 OpenQuestion graph.