Evidence map›Paper›PMID 29371875›Full record

ArticleAnnals of general psychiatry2018

Psychopathology of addiction: Can the SCL90-based five-dimensional structure differentiate Heroin Use Disorder from a non-substance-related addictive disorder such as Gambling Disorder?

Angelo G I Maremmani, Denise Gazzarrini, Amelia Fiorin, Valeria Cingano, Graziano Bellio, Giulio Perugi, Icro Maremmani

Open access · goldAbstract read
In one paragraph

Article in Annals of general psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Metabolic Adverse Effects of Psychotropic Drug Therapy: A Systematic Review.European journal of investigation in health, psychology and education · 2023
    Review
  3. Characteristics of Stress Sensitivity in Heroin Use Disorder Patients during Their Opioid Agonist Treatment.International journal of environmental research and public health · 2023
    Article
  4. Article
  5. 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

7 authors at 2 institutions in 2 countries.

Angelo G I MaremmaniDepartment of Psychiatry, North-Western Tuscany Region Local Health Unit, Versilian Zone, Viareggio, Italy.
Denise GazzarriniG. De Lisio Institute of Behavioural Sciences, Pisa, Italy.
Amelia FiorinDrug Addiction Unit, Castelfranco Veneto, Treviso, Italy.
Valeria CinganoDrug Addiction Unit, Castelfranco Veneto, Treviso, Italy.
Graziano BellioDrug Addiction Unit, Castelfranco Veneto, Treviso, Italy.
Giulio PerugiG. De Lisio Institute of Behavioural Sciences, Pisa, Italy.
Icro MaremmaniAssociation for the Application of Neuroscientific Knowledge To Social Aims (AU-CNS), Pietrasanta, Italy.
Ospedaliero di Castelfranco Veneto · ITAims Community College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the Gambling Disorder (GD), there is no exogenous drug administration that acts as the central core of the traditional meaning of addiction. A specific psychopathology of Substance Use Disorders has been proposed recently. In a sample of Heroin Use Disorder (HUD) patients entering opioid agonist treatment, it became possible to identify a group of 5 mutually exclusive psychiatric dimensions: Worthlessness-Being trapped (W-BT), Somatic Symptoms (SS), Sensitivity-Psychoticism (SP), Panic Anxiety (PA) and Violence-Suicide (VS). The specificity of these dimensions was suggested by the absence of their correlations with treatment choice, active substance use, psychiatric comorbidity and the principal substance of abuse and by the opportunity, through their use, of fully discriminating HUD from Major Depression patients and, partially, from obese non-psychiatric patients. To further support this specificity in the present study, we tested the feasibility of discriminating HUD patients from those affected by a non-substance-related addictive behaviour, such as GD. In this way, we also investigated the psychopathological peculiarities of GD patients.

methodsWe compared the severity and frequency of each of the five aspects found by us, in 972 (83.5% males; mean age 30.12 ± 6.6) HUD and 110 (50% males; average age 30.12 ± 6.6) GD patients at univariate (

resultsHUD patients showed higher general psychopathology indexes than GD patients. The severity of all five psychopathological dimensions was significantly greater in HUD patients. Discriminant analysis revealed that SS and VS severity were able to discriminate between HUD (higher severity) and GD patients (lower severity), whereas PA and SP could not. W-BT severity was negatively correlated with SS and VS; GD patients were distinguished by low scores for SS and VS low scores associated with high ones for W-BT. Psychopathological subtypes characterized by SS and VS symptomatology were better represented in HUD patients, whereas PA symptomatology was more frequent in GD individuals. No differences were observed regarding the W-BT and SP dimensions. At multivariate level, the one prominent characteristic of HUD patients was the presence of SS (OR = 5.43) as a prominent qualification for psychopathological status.

conclusionsApart from the lower severity of all psychopathological dimensions, only the lower frequency of SS typology seems to be the prominent factor in GD patients. The SCL90-defined structure of opioid addiction seems to be useful even in non-substance-related addictive disorders, as in the case of GD patients, further supporting the possible existence of a psychopathology specific to addiction.

Indexed as

Gambling DisorderHeroin AddictionHeroin Use DisorderPsychopathological symptomsSpecific psychopathology of Substance Use DisorderSubstance Use Disorders

Identifiers

PMID29371875
PMCPMC5769351
OpenAlexW2783947692

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LicenceCC BY
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Registered trials

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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.