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State of the Science: The Hierarchical Taxonomy of Psychopathology (HiTOP)

  • David C. Cicero
  • , Camilo J. Ruggero
  • , Caroline E. Balling
  • , Angeline R. Bottera
  • , Simone Cheli
  • , Laurent Elkrief
  • , Kelsie T. Forbush
  • , Christopher J. Hopwood
  • , Katherine G. Jonas
  • , Didier Jutras-Aswad
  • , Roman Kotov
  • , Holly F. Levin-Aspenson
  • , Stephanie N. Mullins-Sweatt
  • , Sara Johnson-Munguia
  • , William E. Narrow
  • , Sonakshi Negi
  • , Christopher J. Patrick
  • , Craig Rodriguez-Seijas
  • , Shreya Sheth
  • , Leonard J. Simms
  • Marianna L. Thomeczek
  • University of North Texas
  • University of Texas at Dallas
  • Purdue University
  • University of Kansas
  • St. John's University
  • University of Montreal
  • University of Zurich
  • Stony Brook University
  • Oklahoma State University
  • Johns Hopkins University
  • Florida State University
  • University of Michigan, Ann Arbor

Research output: Contribution to journalReview articlepeer-review

32 Scopus citations

Abstract

The Hierarchical Taxonomy of Psychopathology (HiTOP) is a dimensional framework for psychopathology advanced by a consortium of nosologists. In the HiTOP system, psychopathology is grouped hierarchically from super-spectra, spectra, and subfactors at the upper levels to homogeneous symptom components and maladaptive traits and their constituent symptoms, and maladaptive behaviors at the lower levels. HiTOP has the potential to improve clinical outcomes by planning treatment based on symptom severity rather than heterogeneous diagnoses, targeting treatment across different levels of the hierarchy, and assessing distress and impairment separately from the observed symptom profile. Assessments can be performed according to this framework with the recently developed HiTOP-Self-Report (HiTOP-SR). Examples of how to use HiTOP in clinical practice are provided for the internalizing spectrum, including the use of the Unified Protocol and other modularized treatments, measurement-based care, psychopharmacology, and in traditionally underserved populations. Future directions are discussed in this State of the Science review including HiTOP's use in further developing transdiagnostic treatments, extending the model to include other information such as environmental factors, establishing the treatment utility of clinical assessment for the HiTOP-SR, developing new treatments, and disseminating the model.

Original languageEnglish
Pages (from-to)1114-1129
Number of pages16
JournalBehavior Therapy
Volume55
Issue number6
DOIs
StatePublished - Nov 2024

Keywords

  • clinical utility
  • dimensional
  • nosology
  • transdiagnostic

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