Evidence map›Paper›PMID 33410988›Full record

ArticlePsychopharmacology2021

Prescription opioid misusers exhibit blunted parasympathetic regulation during inhibitory control challenge.

Eric L Garland, Matthew O Howard

Abstract read
In one paragraph

Article in Psychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Observational
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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

2 authors.

Eric L GarlandUniversity of Utah, 395 South, 1500 East, Salt Lake City, UT, 84112, USA. eric.garland@socwk.utah.edu.
Matthew O HowardUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

Targeting Hedonic Dysregulation to Address Chronic Pain and Opioid Misuse in Primary Care.R01DA042033 · NIDA · UNIVERSITY OF UTAH · PI GARLAND, ERIC LEE · 2016 to 2020
$2.8M
Mindfulness-Oriented Recovery Enhancement For Chronic Pain Patients Receiving OpiR03DA032517 · NIDA · FLORIDA STATE UNIVERSITY · PI GARLAND, ERIC LEE · 2011 to 2012
$74k
NIDA NIH HHS R01 DA042033NIDA NIH HHS R01DA042033NIDA NIH HHS R03 DA032517
6 · The paper itself

Abstract

rationaleAmong opioid-treated chronic pain patients, response inhibition deficits in emotional contexts may contribute to opioid misuse.

objectivesUsing high-frequency heart rate variability (HF-HRV) to index-impaired response inhibition, we examined associations between opioid misuse and response inhibition in emotional and neutral contexts in a sample of opioid-treated chronic pain patients.

methodChronic pain patients taking opioid analgesics (N = 97) for ≥ 90 days completed an Emotional Go/NoGo task that presented an inhibitory control challenge in the context of neutral, opioid, negative affective, and positive affective background images while HF-HRV was computed. Opioid misuse and craving were assessed. Using a validated cut-point on the Current Opioid Misuse Measure, participants were classified as opioid misusers or non-misusers. Opioid misuse was examined as a predictor of behavioral and HF-HRV metrics of response inhibition.

resultsNegative affective and opioid images elicited more errors of commission (p = .002, η

conclusionReduced parasympathetic regulation during inhibitory control challenge may indicate heightened opioid misuse risk among opioid-treated chronic pain patients.

Indexed as

AdultAnalgesics, OpioidAutonomic Nervous SystemChronic PainCravingEmotionsFemaleHeart RateHumansMaleMiddle AgedOpioid-Related DisordersPrescription DrugsAnalgesics, OpioidPrescription DrugsChronic painCognitionHeart rate variabilityInhibitory controlOpioid misuse

Identifiers

PMID33410988
PMCPMC7914222

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.