Literature DB >> 16157230

Adverse events among patients in a behavioral treatment trial for heroin and cocaine dependence: effects of age, race, and gender.

Jennifer R Schroeder1, John P Schmittner, David H Epstein, Kenzie L Preston.   

Abstract

Safety monitoring is a critical element of clinical trials evaluating treatment for substance dependence, but is complicated by participants' high levels of medical and psychiatric comorbidity. This paper describes AEs reported in a large (N = 286), 29-week outpatient study of behavioral interventions for heroin and cocaine dependence in methadone-maintained outpatients. A total of 884 AEs were reported (3.1 per patient, 0.12 per patient-week), the most common being infections (26.8%), gastrointestinal (20.5%), musculoskeletal (12.3%), and general (10%) disorders. Serious AEs were uncommon (1.6% of total). Female participants reported significantly higher rates of AEs (incidence density ratio, IDR = 1.38, p < 0.0001); lower rates of AEs were reported by African Americans (IDR = 0.73, p<0.0001) and participants over age 40 reported lower rates of AEs (IDR = 0.84, p = 0.0095). AE incidence was not associated with the study intervention or with psychiatric comorbidity. Further work is needed to adapt AE coding systems for behavioral trials for substance dependence; the standard Medical Dictionary for Regulatory Activities, International Federation of Pharmaceutical Manufacturers Associations (MedDRA) coding system used in this report did not contain a separate category for one of the most common types of AE, dental problems. Nonetheless, the data reported here should help provide a context in which investigators and IRBs can interpret the patterns of AEs they encounter.

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Year:  2005        PMID: 16157230     DOI: 10.1016/j.drugalcdep.2005.03.007

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  5 in total

1.  Medical and Mental Health Status Among Drug Dependent Patients Participating in a Smoking Cessation Treatment Study.

Authors:  Jennifer E Lima; Malcolm S Reid; Jennifer L Smith; Yulei Zhang; Huiping Jiang; John Rotrosen; Edward Nunes
Journal:  J Drug Issues       Date:  2009-03

2.  Resets do not appear to increase the rate of adverse events or prolong relapse in voucher-based reinforcement therapy.

Authors:  Brian E Versek; Carolyn M Carpenedo; Beth J Rosenwasser; Karen Leggett Dugosh; Elena Bresani; Kimberly C Kirby
Journal:  J Subst Abuse Treat       Date:  2010-07-03

3.  Principles for defining adverse events in behavioral intervention research: lessons from a family-focused adolescent drug abuse trial.

Authors:  Viviana E Horigian; Michael S Robbins; Roberto Dominguez; Jessica Ucha; Carmen L Rosa
Journal:  Clin Trials       Date:  2010-02       Impact factor: 2.486

4.  Serious adverse events in randomized psychosocial treatment studies: safety or arbitrary edicts?

Authors:  Nancy M Petry; John M Roll; Bruce J Rounsaville; Samuel A Ball; Maxine Stitzer; Jessica M Peirce; Jack Blaine; Kimberly C Kirby; Dennis McCarty; Kathleen M Carroll
Journal:  J Consult Clin Psychol       Date:  2008-12

5.  Transfer of manualized Short Term Psychodynamic Psychotherapy (STPP) for social phobia into clinical practice: study protocol for a cluster-randomised controlled trial.

Authors:  Jörg Wiltink; Christian Ruckes; Antje Haselbacher; Marco Canterino; Falk Leichsenring; Peter Joraschky; Frank Leweke; Karin Pöhlmann; Manfred E Beutel
Journal:  Trials       Date:  2011-06-08       Impact factor: 2.279

  5 in total

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