+ Site Statistics
References:
54,258,434
Abstracts:
29,560,870
PMIDs:
28,072,757
+ Search Articles
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ PDF Full Text
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Translate
+ Recently Requested

A diagnostic tool with important implications for treatment of addiction identification of factors underlying relapse and remission time distributions



A diagnostic tool with important implications for treatment of addiction identification of factors underlying relapse and remission time distributions



International Journal of the Addictions 19(1): 25-44



The results of analysis of successive relapse and remission times of many opiate addicts were examined. Motivation is the preeminent factor that governs the distribution of lengths of remission times (periods of abstinence), differences in types of motivation leading to an underlying mixture of 3 or fewer Weibull distributions. Two distinct factors, namely wear-out (dysfunction resulting from exhaustion or tiring out brought on by the addict's enforced life-style) and precipitation of events that may not be beyond the control of the addict, govern the distribution of lengths of relapse times (periods of using opiates), leading, typically, to an underlying competing-risk distribution. Methods for using this information to aid in treatment and in research are described.

(PDF emailed within 0-6 h: $19.90)

Accession: 004570813

Download citation: RISBibTeXText

PMID: 6706451

DOI: 10.3109/10826088409055815


Related references

Chronic addiction relapse treatment: A study of the effectiveness of the high-risk identification and prediction treatment model. Part III. Conclusion and future implications of HRIPTM research. Journal of Substance Abuse Treatment 19(4): 439-444, 2000

Chronic addiction relapse treatment: A study of the effectiveness of the high-risk identification and prediction treatment model. Part I. Journal of Substance Abuse Treatment 19(4): 415-427, 2000

FRI0135Experience of Spacing and Withdrawal of Biological Agents in Rheumatoid Arthritis Patients in Remission: Identification of Relapse Predictive Factors. Annals of the Rheumatic Diseases 74(Suppl 2): 470.2-470, 2015

Remission and relapse in heroin users and implications for management treatment control or risk reduction. International Journal of the Addictions 24(3): 229-246, 1989

The relapse rate in patients with bronchial asthma remission and the risk factors of relapse. Arerugi 48(4): 425-434, 1999

Relapse rates of ulcerative colitis in remission and factors related to relapse. Korean Journal of Gastroenterology 52(1): 21-26, 2009

Sociodemographic and substance use correlates of repeated relapse among patients presenting for relapse treatment at an addiction treatment center in Kolkata, India. African Health Sciences 13(3): 791-799, 2014

Factors associated with failure to achieve remission and with relapse after remission in patients with major depressive disorder in the PERFORM study. Neuropsychiatric Disease and Treatment 13: 2151-2165, 2017

Risk factors for relapse after remission with repetitive transcranial magnetic stimulation for the treatment of depression. Depression and Anxiety 26(7): 682-688, 2009

Important Factors of Early Addiction Recovery and Inpatient Treatment. Alcoholism Treatment Quarterly 31(1): 3-24, 2013

Remission and relapse in early synovitis patients post treatment with depomedrone Time dependent effect of ACR criteria and CRP on outcome. British Journal of Rheumatology 37(ABSTR SUPPL 1): 121, 1998

Relapse-remission and remission-relapse switches in rheumatoid arthritis patients were modeled by random effects. Journal of Clinical Epidemiology 62(10): 1085-1094, 2009

Factors underlying suboptimal diagnostic performance in physicians under time pressure. Medical Education 52(12): 1288-1298, 2018

Allogeneic stem cell transplantation in acute myeloid leukemia in first or subsequent remission: weighing prognostic markers predicting relapse and risk factors for non-relapse mortality. Seminars in Oncology 35(4): 449-457, 2008

Involvement of endogenous opioid systems in opiate addiction Implications for the treatment of opiate withdrawal and relapse by kappa-antagonists. Polish Journal of Pharmacology & Pharmacy 44(SUPPL ): 67, 1992