the effectiveness of transactional behavior analytic group therapy on the prevention of relapse among detoxified people

the effectiveness of transactional behavior analytic group therapy on the prevention of relapse among detoxified people

;S Mousa Kafi;Rahim Mollazadeh Esfanaji;Morteza Nori;Ertaj Salehi
advances in virology 2009 Vol. 3 pp. 11-28
260
kafi2009researchthe

Abstract

Introduction: Addiction Phenomenon among detoxified people is an important therapeutic problem for substance abusers. The aim of this research was the study of effectiveness of transactional behavior analytic group therapy on prevention of relapse of detoxified people. Method: the research design was quasi experimental with witness group. By using of available sampling of detoxified people who referred to government centers for maintenance therapy with Methadone, 24 subjects that divided to two control and witness groups (12 subjects for each group) selected of Bojnord city. Each subjects completed the write's relapse prediction scale as pretest. Post test administered after group therapy and after 5 months follow up test administered among two groups. Morphine test has done with follow up test simultaneously. Independent samples t-test and covariance analysis has run for analyzing of data. Results: The results of covariance showed that tempting of substance use was significantly differed in post test and follow up, but there was not significant difference in probability of substance use. Conclusion: Finding of this research showed, the transactional behavior analytic group therapy may be effective in tempting of substance use among detoxified people and it can considered by specialists.

Citation

ID: 259187
Ref Key: kafi2009researchthe
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
259187
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet