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Norbert Nedopil
Researcher at Ludwig Maximilian University of Munich
Publications - 78
Citations - 911
Norbert Nedopil is an academic researcher from Ludwig Maximilian University of Munich. The author has contributed to research in topics: Forensic psychiatry & Poison control. The author has an hindex of 15, co-authored 77 publications receiving 843 citations.
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Journal ArticleDOI
Short-term Naloxone Administration in Schizophrenic and Manic Patients: A World Health Organization Collaborative Study
David Pickar,Felix E. Vartanian,William E. Bunney,Hans P. Maier,Markus Gastpar,R. Prakash,B. B. Sethi,Robert Lideman,Boris S. Belyaev,Mella V. A. Tsutsulkovskaja,Gerd Jungkunz,Norbert Nedopil,Willem Verhoeven,Herman M. van Praag +13 more
TL;DR: There was a significant naloxone-associated reduction in overall physician-rated symptoms in schizophrenic patients concurrently treated with neuroleptic medication but not in medication-free schizophrenics, while self-ratings of auditory hallucinations showed improvement only in Neuroleptic-treated schizophrenics.
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Mindestanforderungen für Schuldfähigkeitsgutachten
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Assessing measurement invariance of PCL-R assessments from file reviews of North American and German offenders.
Andreas Mokros,Craig S. Neumann,Cornelis Stadtland,Michael Osterheider,Norbert Nedopil,Robert D. Hare +5 more
TL;DR: Based on the results, cross-cultural comparisons between North-American and German offenders in terms of PCL-R psychopathy should be limited to the Interpersonal and Lifestyle factors.
Journal ArticleDOI
The validity of the Violence Risk Appraisal Guide (VRAG) in predicting criminal recidivism.
TL;DR: The validity of the VRAG was replicated with a German sample, and it yielded good predictive accuracy, despite differences in sample and outcome variables compared with its original sample.
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Recidivism in female offenders: PCL-R lifestyle factor and VRAG show predictive validity in a German sample.
TL;DR: Results appear to provide the first evidence that the PCL-R total score and the antisocial lifestyle factor are predictive for general female recidivism, as has been shown consistently for male recidivists.