Evidence map›Paper›PMID 41945092›Full record

ArticlePsychopharmacology2026

Does the cognitive test MoCA at entry of an inpatient cocaine cessation predict relapse? a prospective observational study.

Victor Caillet, Margot Chouchana, Margaux Poireau, Virgile Clergue-Duval, Julien Azuar, Romain Icick, Angéline Maillard, Emmanuelle Volle, Christine Delmaire, Vanessa Bloch and 1 more

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Article in Psychopharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Victor CailletAPHP GHU Nord, Département de Psychiatrie et de Médecine Addictologique, Site Lariboisière Fernand-Widal, Paris, 75010, France.
Margot ChouchanaUniversité Paris Cité, Inserm UMRS1144 Optimisation Thérapeutique en Neuropharmacologie, Paris, 75006, France.
Margaux PoireauAPHP GHU Nord, Département de Psychiatrie et de Médecine Addictologique, Site Lariboisière Fernand-Widal, Paris, 75010, France.
Virgile Clergue-DuvalAPHP GHU Nord, Département de Psychiatrie et de Médecine Addictologique, Site Lariboisière Fernand-Widal, Paris, 75010, France.
Julien AzuarAPHP GHU Nord, Département de Psychiatrie et de Médecine Addictologique, Site Lariboisière Fernand-Widal, Paris, 75010, France.
Romain IcickUniversité Paris Cité, Inserm UMRS1144 Optimisation Thérapeutique en Neuropharmacologie, Paris, 75006, France.
Angéline MaillardUniversité Paris Cité, Inserm UMRS1144 Optimisation Thérapeutique en Neuropharmacologie, Paris, 75006, France.
Emmanuelle VolleInserm - FRONT-Lab, ICM, Institut du Cerveau, Hôpital Pitié-Salpêtrière, 47 bd de l'Hôpital, Paris, 75013, France.
Christine DelmaireUniversité Paris Cité, Inserm UMRS1144 Optimisation Thérapeutique en Neuropharmacologie, Paris, 75006, France.
Vanessa BlochUniversité Paris Cité, Inserm UMRS1144 Optimisation Thérapeutique en Neuropharmacologie, Paris, 75006, France.
Florence VorspanAPHP GHU Nord, Département de Psychiatrie et de Médecine Addictologique, Site Lariboisière Fernand-Widal, Paris, 75010, France. florence.vorspan@lrb.aphp.fr.

Funding

Ministère des Affaires Sociales et de la Santé PHRC-N AOM12390
6 · The paper itself

Abstract

introductionThere is an exponential increase in the number of patients seeking treatment, including inpatient detoxification, for cocaine use disorder. We propose to test the ability of the MoCA test, a simple screening tool for cognitive dysfunction, administered in early abstinence, to predict relapse. We also aimed at describing the factors associated with the MoCA score.

methodsWe conducted a prospective study where 58 patients were assessed in the first 72 h after entering an inpatient cocaine cessation program. Relapse was determined prospectively up to three months after discharge. We conducted a univariate analysis and an exploratory logistic regression to predict relapse, as well as a univariate and linear regression to identify factors associated with the MoCA score.

resultsWe observed that patients who relapsed during the follow-up (N = 51) had significantly lower initial mean MoCA scores than abstainers (N = 7) (p = 0.037). In the logistic regression, a low MoCA score was not retained as a significant independent predictor of relapse (β=-0.293; p = 0.089). In the linear regression model with the MoCA score as the dependent variable, crack-cocaine use (versus cocaine hydrochloride) (β=-0.427; p < 0.001) and a lower educational level ((β = 0.301; p = 0.014) were independently associated with low MOCA score. The crash MoCA score could be tested in future studies assessing its ability to measure the early cognitive cocaine withdrawal symptoms.

Indexed as

CocaineCocaine-related disordersCognitive impairmentCrack-cocaineSubstance-related disorders

Identifiers

PMID41945092

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