RESPONSE TO COMMENTARIES ON ‘WHAT NEUROBIOLOGY CANNOT TELL US ABOUT ADDICTION’
Notice bibliographique
Résumé
The paper ‘What neurobiology cannot tell us about addiction’1 arose from a conference, the International Addiction Summit held in Melbourne, Australia, in July 2008. Participants at this summit were invited to be as provocative as they wished, in order to stimulate new ways of thinking about addictions. The four commentaries above suggest that the paper has been moderately successful in provoking. All four raise interesting and significant points, even if they disagree in part with the arguments put forward. Iguchi & Evans 2 disagree with the contention that studies involving drug administration by the experimenter rather than self-administration are ‘flawed’, and cite the important information that can be obtained from comparisons of the effects of experimenter-administered versus self-administered drugs 3. I agree completely that such comparisons can provide important information about the neural mechanisms involved in addiction. My use of the term ‘flawed’ applied to studies which employ only experimenter administration of drugs, and regard it as a model of addiction. It is surely not a novel idea that addiction is a disorder of drug-taking as opposed to a disorder of drug action. Koob 4, cited by Iguchi & Evans, states clearly that ‘drug addiction can be defined by a compulsion to seek and take drug’. Iguchi & Evans also argue that self-administration was not the only feature differentiating wounded American Civil War veterans who became addicted to opiates from hospital patients who do not become addicted despite receiving large doses of opiates administered by nurses or physicians. They point to post-traumatic stress, unemployment, mental illness, social disruption, genetic vulnerability and other factors that may have differentiated between the two groups. Such factors are also often present in non-addicted patients, but it is precisely because of the multiplicity of factors that modify the response to the same drug in different subjects that one must attempt an integrative approach, rather than examining only the interaction between the drug and specific components of the brain. This is the main point of the paper, and to varying degrees all four commentaries appear to agree. Iguchi & Evans accept that reductionist approaches ‘are placed in more appropriate context within appropriate and integrated conceptual frames’. This is a much weaker acceptance of the need for integrative thinking than that set out in von Bertalanffy's general systems theory 5, which is based upon many observations that complex interactive systems function under different laws than do simple isolated processes. The other three commentaries 6-8 agree more clearly with the need for an integrative approach to addiction research, and bring up important reasons for it. Carter & Hall 6 rightly stress the risk that social policies designed to prevent addiction by reducing the extent of hazardous drug use may be ignored if excessive emphasis is placed on a neurobiological search for a magic bullet. Potenza 7 underlines the reciprocal interactions between drug actions, environmental factors and decision-making processes, and describes a potential model for an integrative approach to the study of such interactions. He also points out the need for integrative thinking in the definitions of addiction in future editions of ICD and DSM. In view of such compelling reasons, one must wonder why the reductionist approach is still so dominant in addiction research. Spanagel 8 provides one of the reasons: the sheer joy of working in such an exciting and rapidly productive area as contemporary neurobiology. However, another important reason is that granting bodies evidently prefer this approach; their possible reasons for such preference deserve study. None.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,002 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».