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Enregistrement W1576851054 · doi:10.1111/j.1360-0443.2012.03786.x

ADDICTION IS A PSYCHIATRIC DISORDER – WHAT HAVE WE LEARNED FROM HISTORY?

2012· letter· en· W1576851054 sur OpenAlexaboutno aff
Annemarie Unger, Barbara Starzer, Gabriele Fischer

Notice bibliographique

RevueAddiction · 2012
Typeletter
Langueen
DomaineArts and Humanities
ThématiqueMedical History and Research
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute on Drug Abuse
Mots-clésLegislationSterilization (economics)PsychiatryMedicineCashLawPolitical scienceBusiness

Résumé

récupéré en direct d'OpenAlex

Lucke & Hall raise important questions in their report on project ‘prevention’, a US-based project 1, whose approach raises grave ethical concerns from a European historical viewpoint. The surgical sterilization of women at a reproductive age for a cash incentive is more than a sensitive issue, especially when it involves psychiatric patients. An additional consideration must be that, for a substance-dependent woman, cash incentives are not the same as they would be for a healthy proband. From a historical perspective, the proceedings described are in the neighbourhood of so-called ‘treatment intervention’ of psychiatric patients in the past. They are remindful of the ‘sterilization legislation’ implemented during the Nazi regime in Germany 2. Many countries had sterilization policies executed in the past, including the United States and Canada. Mainly, patients in mental hospitals were subject to involuntary sterilization in numerous states and provinces. In Sweden, the Sterilization Act of 1934 affected 62 000 people, among them mental patients. It was supported by the Lutheran church, the government and the majority of the medical profession and was not disestablished until 1975 3, 4. In the Czech Republic, more than 50 Roma women were sterilized unlawfully as recently as 2003, after misunderstanding informed consent 5. In our view, sterilization should not be recommended in such a manner to substance-dependent women, just as it would not be to other psychiatric patients. The legislation on sterilization has not yet been harmonized in Europe. Nevertheless, in the European context Austria can serve as an example of how an appropriate regulation is structured. It requires informed consent and special safeguards in order to protect mentally disabled people. The performance of a long-acting form of contraception can be judged under the statutory offence of severe bodily harm with permanent impact. The crime is threatened with an imprisonment sanction of up to 5 years (Art. 85 Austrian Criminal Code). However, the respective activity is not punishable if the patient consents, but the statute itself determines the preconditions of consent, indicating that the consenting person has to be aged at least 25 years. If this requirement is not fulfilled, sterilization is permitted if there are certain reasons which are not violating moral principles (Art. 90 paragraph 2 Criminal Code). Additionally—considering the patient's physical and mental capability— it has in any case to be assessed that the consenting person is able to understand the consequences of the intervention. Finally, case law decides if there are appropriate reasons for intervention. Aiding and abetting sterilization can also lead to punishment. The perpetrator will be subject to a stronger sanction. This is an intrinsic principle of the Austrian statute: e.g. it is not permitted to put pressure on someone to consent to sterilization. It is also generally forbidden to sterilize imprisoned sex offenders to reduce their libido, even though this might facilitate an early release from imprisonment 6. The group of opioid-dependent women is a particularly vulnerable target population who need a special professional approach, empathy and care. A difference between North America and Europe may be that in Europe addiction is always seen as a psychiatric disorder, whereas in North America addiction medicine is seen partially as a medical speciality of its own. Patients with an addiction disorder should be provided with the same clinical treatment and approach as other patients with a mental disorder. An additional consideration is the high rate of psychiatric comorbidities, in particular of affective disorders, where proper decision-making can be influenced 7. A lower level of education can facilitate misunderstanding of medical information 8. In addition, decision-making processes occur under the influence of psychoactive substances—therefore, any of the addressed decisions should be made only if a stable mental condition is given. A comprehensive care setting with a multi-professional team approach should include the possibility to address issues such as family planning with the women on the same level as it would be with a woman suffering from an episode of major depression or other mental disorder. We agree that inter-uterine devices (IUDs) should be the first choice for opioid-maintained women. Oral contraceptives are not suitable, as more than 90% of opioid-dependent women are heavily dependent on nicotine 9, placing them at additional risk of thrombosis and pulmonary embolism 10. Behavioural measures such as non-cash incentives have been effective in promoting abstinence from drug use 11. Optimal results are achieved when contingency management models with escalating regimes are used. For provision of birth control measures it seems most appropriate to provide free access through a fund, optimally with easy reversible methods. This has been practised successfully at the Addiction Clinic of the Medical University of Vienna.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,469
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,1760,004

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,064
Tête enseignante GPT0,252
Écart entre enseignants0,187 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2012
Routes d'admission1
Résumé présentoui

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