By John F. Kelly, William L. White
Habit restoration administration: thought, learn, and perform is the 1st e-book at the restoration administration method of dependancy remedy and post-treatment aid prone. distinct in combining idea, study, and perform in the similar textual content, this ground-breaking identify comprises authors who're the key theoreticians, researchers, structures directors, clinicians and restoration advocates who've built the version. State-of-the paintings and the definitive textual content at the subject, habit restoration administration: concept, learn, and perform is crucial studying for clinicians and all execs who paintings with sufferers in restoration or who're attracted to the sphere.
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Additional resources for Addiction Recovery Management: Theory, Research and Practice (Current Clinical Psychiatry)
J Subst Abuse Treat. 2007;33:243 56. 11. White WL. Addiction recovery: its definition and conceptual boundaries. J Subst Abuse Treat. 2007;33:229 41. 12. Center for Substance Abuse Treatment. National Summit on Recovery: 2005 Conference Report. DHHS Publication No. (SMA) 07 4276. Rockville, MD: Substance Abuse and Mental Health Services Administration; 2007. 13. Teruya C, Hser YI. Turning points in the life course: current findings and future directions in drug use research. Curr Drug Abuse Rev.
In examining trajectories of offending over the life course of delinquent males followed from ages 7 to 70, Sampson and Laub  found that while crime declined with age for all offender groups, childhood prognoses account poorly for long-term trajectories of offending. Instead, the dynamics of life course transitions and turning points were better determinants of long-term outcomes. Similarly, in the 33-year follow-up study of heroin addicts, we tested several hypotheses regarding stable recovery from heroin use .
1999;4:39 177. 25. Nagin DS. Group based modeling of development. Cambridge, MA: Harvard University Press; 2005. 26. Muthen B. Latent variable analysis: growth mixture modeling and related techniques for longitudinal data. In: Kaplan D, editor. Handbook of quantitative methodology for the social sciences. Newbury Park, CA: Sage Publications; 2004. p. 345 68. 27. Muthen B, Asparouhov T. Growth mixture analysis: models with non Gaussian random effects. In: Fitzmaurice G, Davidian M, Verbeke G, Molenberghs G, editors.