Evidence map›Paper›PMID 29737034›Full record

ArticleAddiction biology2019

Distress intolerance moderation of motivated attention to cannabis and negative stimuli after induced stress among cannabis users: an ERP study.

Richard J Macatee, Sarah A Okey, Brian J Albanese, Norman B Schmidt, Jesse R Cougle

Open access · greenAbstract read
In one paragraph

Article in Addiction biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
  2. Impact of a computerized distress intolerance intervention on electrocortical reactivity to cannabis and threat cues: A randomized controlled trial.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022
    Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Distress intolerance moderation of neurophysiological markers of response inhibition after induced stress: Relations with cannabis use disorder.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2018
    Article
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

5 authors at 2 institutions in 1 country.

Richard J MacateeDepartment of Psychology, Florida State University, Tallahassee, FL, USA.ORCID 0000-0001-8135-7762
Sarah A OkeyDepartment of Psychology, Arizona State University, Tempe, AZ, USA.
Brian J AlbaneseDepartment of Psychology, Florida State University, Tallahassee, FL, USA.
Norman B SchmidtDepartment of Psychology, Florida State University, Tallahassee, FL, USA.
Jesse R CougleDepartment of Psychology, Florida State University, Tallahassee, FL, USA.
Florida State University · USArizona State University · US

Funding

Integrated Clinical Neuroscience Training for Translational ResearchT32MH093311 · NIMH · FLORIDA STATE UNIVERSITY · PI LISA A ECKEL, Pamela K. Keel · 2012 to 2026
$2.3M
Computerized anger-reduction treatment for smoking cessationR34DA035944 · NIDA · FLORIDA STATE UNIVERSITY · PI COUGLE, JESSE RAY · 2014 to 2016
$634k
Computerized Intervention for Distress IntoleranceF31DA039644 · NIDA · FLORIDA STATE UNIVERSITY · PI MACATEE, RICHARD · 2016 to 2017
$59k
NIDA NIH HHS F31 DA039644NIDA NIH HHS R34 DA035944NIMH NIH HHS T32 MH093311
6 · The paper itself

Abstract

Prevalence of cannabis use is increasing, but many regular users do not develop cannabis use disorder (CUD); thus, CUD risk identification among current users is vital for targeted intervention development. Existing data suggest that high distress intolerance (DI), an individual difference reflective of the ability to tolerate negative affect, may be linked to CUD, but no studies have tested possible neurophysiological mechanisms. Increased motivated attentional processing of cannabis and negative emotional stimuli as indexed by neurophysiology [i.e. the late positive potential (LPP)], particularly during acute stress, may contribute to CUD among high DI users. Frequent cannabis users with high (n = 61) and low DI (n = 44) viewed cannabis, negative, and matched neutral images during electroencephalography (EEG) recording before and after a laboratory stressor. Cannabis cue-elicited modulation of the 1000- to 3000-milliseconds LPP was larger in high DI users at post-stressor only, although the effect was only robust in the 1000- to 2000-milliseconds window. Further, modulation magnitude in the high DI group covaried with stress-relief craving and some CUD indices in the 400- to 1000-milliseconds and 1000- to 3000-milliseconds windows, respectively. No significant effects of DI on negative stimuli-elicited LPP modulation were found, although inverse associations with some CUD indices were observed. Finally, exploratory analyses revealed some evidence for DI moderation of the relation between subjective stressor reactivity and negative stimuli-elicited LPP modulation such that greater stressor reactivity was associated with blunted versus enhanced modulation in the high and low DI groups, respectively. Negative and cannabis stimuli-elicited LPP modulation appear to index distinct, CUD-relevant neural processes in high DI cannabis users.

Indexed as

MotivationPsychological DistressAdolescentAdultAffectAttentionCuesElectroencephalographyEvoked PotentialsFemaleHumansMaleMarijuana AbuseMarijuana UsePhotic StimulationStress, Psychologicalcannabis use disordercue reactivitydistress intolerancelate positive potentialmood induction

Identifiers

PMID29737034
PMCPMC6222026
OpenAlexW2801560921

What OpenQuestion 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 OpenQuestion graph.