Literature DB >> 24284844

Can we predict addiction to opioid analgesics? A possible tool to estimate the risk of opioid addiction in patients with pain.

Katrin Skala1, Lukas Reichl, Wilfried Ilias, Rudolf Likar, Gabriele Grogl-Aringer, Christina Wallner, Golda Schlaff, Peter Herrmann, Otto Lesch, Henriette Walter.   

Abstract

BACKGROUND: The use of opioid analgesics in the treatment of chronic pain conditions has long been controversial. They have been reported to be relatively safe when prescribed with caution, but a brief and valid instrument to estimate a person's risk of addiction is still missing.
OBJECTIVE: The aim of this study was to investigate a self-rating questionnaire allowing an estimation of a person's risk of addiction to opioid analgesics. STUDY
DESIGN: Retrospective review.
SETTING: Four Austrian hospitals.
METHODS: Seven hundred forty-one patients were interviewed. Of these, 634 patients were affected with chronic pain while 107 patients had a history of opioid addiction. Patients were interviewed about alcohol and nicotine consumption and family history of psychiatric disorders. Attitudes towards medication and the origin of pain were examined. We asked patients with an opioid addiction and patients suffering from chronic pain to complete a short questionnaire intended to help screen for addiction potential.
RESULTS: Compared to the patients suffering from chronic pain, patients with an opioid addiction significantly more often had alcohol- and nicotine-related pathologies and psychiatric comorbidity. A family history of mental illness and developmental problems were significantly more frequent in this group. Compared to those not addicted, those with an opioid addiction had significantly higher expectations concerning the potential of medication to change one's mental state; they thought that psychological  factors might contribute to the pain they feel. LIMITATIONS: The main limitation of this study is the use of a self-rating instrument which reduces objectivity and introduces the possibility of misreporting. Also, the 2 groups differ in number and are not homogenous.
CONCLUSION: We found differences in questionnaire responses between patients with an opioid addiction and patients suffering from chronic pain to be dependent upon the prevalence of current or former addiction, psychiatric history, attitudes towards medication, and ideas about the origin of pain. We believe these factors have predictive value in estimating a patient with pain's risk of addiction.

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Year:  2013        PMID: 24284844

Source DB:  PubMed          Journal:  Pain Physician        ISSN: 1533-3159            Impact factor:   4.965


  4 in total

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Authors:  Thomas Ciesielski; Reethi Iyengar; Amit Bothra; Dave Tomala; Geoffrey Cislo; Brian F Gage
Journal:  Am J Med       Date:  2016-03-09       Impact factor: 4.965

2.  [Key-topics in Austrian Child and Adolescent Psychiatry 2007-2017].

Authors:  Andreas Karwautz; Cvetka F Lipuš; Martin Fuchs
Journal:  Neuropsychiatr       Date:  2017-08-30

3.  Predictors of chronic prescription opioid use after orthopedic surgery: derivation of a clinical prediction rule.

Authors:  Daniel I Rhon; Suzanne J Snodgrass; Joshua A Cleland; Charles D Sissel; Chad E Cook
Journal:  Perioper Med (Lond)       Date:  2018-11-22

4.  Effectiveness and safety of repetitive transcranial magnetic stimulation for the treatment of morphine dependence: A retrospective study.

Authors:  Xin Li; Guang-Fu Song; Jia-Nan Yu; Si-Hui Ai; Qing Ji; Ying Peng; Xiao-Feng Zhu; Ji-Guang Liu
Journal:  Medicine (Baltimore)       Date:  2021-04-09       Impact factor: 1.817

  4 in total

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