Mental disorders are no predictors to determine the duration of cannabis-based treatment for chronic pain.

bio-psycho-social model cannabis cannabis-based medicine chronic pain depression mental disorders pain disorder treatment

Journal

Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006

Informations de publication

Date de publication:
2022
Historique:
received: 31 08 2022
accepted: 28 11 2022
entrez: 23 1 2023
pubmed: 24 1 2023
medline: 24 1 2023
Statut: epublish

Résumé

Chronic pain (CP), a complex biopsychosocial disorder with a global prevalence of up to 33%, can be treated by following multidisciplinary approaches that may include cannabis-based medicine (CBM). However, because CBM continues to be a new treatment, questions remain regarding the ideal duration for CBM and its psychosocial determinants, including mental comorbidities. In a retrospective cross-sectional study involving 46 patients with CP (ICD-10 code F45.4-), three validated instruments-the German Pain Questionnaire, the Depression Anxiety Stress Scale (DASS), and the Marburg Questionnaire of Habitual WellBeing-were used to identify pain-specific psychosocial determinants and mental disorders. Descriptive analyses, a group differences analysis, and a logistic regression analysis were performed using SPSS. The patients most frequently reported low back pain as the primary location of their CP, and in attributing the condition to tissue damage, most had largely adopted a somatic orientation in conceptualizing their illness. Most had experienced CP for more than 5 years ( We found no evidence indicating that the benefits of short-term vs. long-term cannabis-based treatment can be predicted by mental comorbidities or psychosocial factors. However, because CBM may be included in approaches to treat CP, questions about the ideal duration of such treatment remain to be answered.

Sections du résumé

Background UNASSIGNED
Chronic pain (CP), a complex biopsychosocial disorder with a global prevalence of up to 33%, can be treated by following multidisciplinary approaches that may include cannabis-based medicine (CBM). However, because CBM continues to be a new treatment, questions remain regarding the ideal duration for CBM and its psychosocial determinants, including mental comorbidities.
Methods UNASSIGNED
In a retrospective cross-sectional study involving 46 patients with CP (ICD-10 code F45.4-), three validated instruments-the German Pain Questionnaire, the Depression Anxiety Stress Scale (DASS), and the Marburg Questionnaire of Habitual WellBeing-were used to identify pain-specific psychosocial determinants and mental disorders. Descriptive analyses, a group differences analysis, and a logistic regression analysis were performed using SPSS.
Results UNASSIGNED
The patients most frequently reported low back pain as the primary location of their CP, and in attributing the condition to tissue damage, most had largely adopted a somatic orientation in conceptualizing their illness. Most had experienced CP for more than 5 years (
Conclusion UNASSIGNED
We found no evidence indicating that the benefits of short-term vs. long-term cannabis-based treatment can be predicted by mental comorbidities or psychosocial factors. However, because CBM may be included in approaches to treat CP, questions about the ideal duration of such treatment remain to be answered.

Identifiants

pubmed: 36684012
doi: 10.3389/fpsyt.2022.1033020
pmc: PMC9853059
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1033020

Informations de copyright

Copyright © 2023 Rometsch, Ott, Festl-Wietek, Jurjut, Schlisio, Zipfel, Stengel and Herrmann-Werner.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Caroline Rometsch (C)

University Hospital and Faculty of Medicine, University of Tübingen, Tübingen, Germany.
Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.

Stephan Ott (S)

University Hospital and Faculty of Medicine, University of Tübingen, Tübingen, Germany.

Teresa Festl-Wietek (T)

Tübingen Institute for Medical Education, University of Tübingen, Tübingen, Germany.

Anna-Maria Jurjut (AM)

University Hospital and Faculty of Medicine, University of Tübingen, Tübingen, Germany.

Barbara Schlisio (B)

Department of Anesthesiology and Intensive Care Medicine, Tübingen University Hospital, Tübingen, Baden-Württemberg, Germany.

Stephan Zipfel (S)

University Hospital and Faculty of Medicine, University of Tübingen, Tübingen, Germany.

Andreas Stengel (A)

University Hospital and Faculty of Medicine, University of Tübingen, Tübingen, Germany.
Department for Psychosomatic Medicine, Charité Center for Internal Medicine and Dermatology, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Anne Herrmann-Werner (A)

Tübingen Institute for Medical Education, University of Tübingen, Tübingen, Germany.

Classifications MeSH