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Predictors of suicide attempters in substance-dependent patients: a six-year prospective follow-up.

Background; This is a six-year prospective follow-up of a former cross sectional study of suicide attempters in a sample of treatment-seeking substance-dependent patients.

The aims were to explore the frequency of patients with new suicide attempts (SA) during the six-year observation period, and to explore the predictive value of lifetime Axis I and II disorders, measured at index admission, on SA in the observation period, when age, gender and substance-use variables, measured both at admission and at follow-up, were controlled for.

Methods; A consecutive sample of 156 alcohol-dependent and 131 poly-substance dependent inpatients and outpatients in two Norwegian counties were assessed at index admission (T1) with the Composite International Diagnostic Interview (Axis I disorders), Millon’s Clinical Multiaxial Inventory (Axis II disorders) and Hopkins Symptom Checklist-25 (mental distress).

At follow-up six years later (T2), 56% (160/287 subjects, 29% women) were assessed using the HSCL-25 and measures of harmful substance use (Alcohol Use Disorders Identification Test and Drug Use Disorders Identification Test).

Results; The prevalence of patients with SA between T1 and T2 was 19% (30/160), with no difference between sexes or between patient type (alcohol-dependent versus poly substance-dependent).

Sober patients also attempted suicide.

At the index admission, lifetime eating disorders, agoraphobia with and without panic disorder, and major depression were significantly and independently associated with SA.

Prospectively, only lifetime Dysthymia increased the risk of SA during the following six years, whereas lifetime generalized anxiety disorder reduced the risk of SA.

Individually, neither the numbers of Axis I and Axis II disorders nor the sum of these disorders were independently related to SA in the observation period.

Substance use measured at T1 did not predict SA in the follow-up period, nor did harmful use of substances at follow-up or in the preceding year.

Conclusions; A high prevalence of SA was found six years later, both in patients still abusing substances and in sober patients.

To prevent SA, treatment of both affective disorders and substance abuse is important.

Research; Kjell Bakken, Per Vaglum. Predictors of suicide attempters in substance-dependent patients: a six-year prospective follow-up. Clinical Practice and Epidemiology in Mental Health 2007, 3:20
    The Practical Art of Suicide Assessment: A Guide for Mental Health Professionals and Substance Abuse Counselors
by Shawn Christopher Shea

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Man with co-occurring substance abuse and mental disorder The Co-Occurring Center for Excellence. Addressing mental disorders and alcoholism, addiction co-occurring.

The Co-Occurring Center for Excellence (COCE) was created by SAMHSA in 2003 to provide information and a range of services to mental health and substance abuse administrators and policymakers at state and local levels, their counterparts in tribal and Native populations, clinical providers, other providers, and all other agencies and systems through which clients may enter the treatment system.

COCE provides state-of-the-art and sustainable technical assistance, training, information and resources, and links to other resources that serve persons with co-occurring disorders.

http://www.coce.samhsa.gov/

See also;

          The Dual Diagnosis Recovery Sourcebook :
A Physical, Mental, and Spiritual Approach to Addiction with an Emotional Disorder

by Dennis Ortman

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Happy New Year!

Correlates of alcohol use among methadone-maintained adults

This prospective study (n = 190) examined correlates of alcohol use from baseline data of a longitudinal trial conducted among moderate and heavy alcohol users receiving methadone maintenance therapy (MMT).

The sample included MMT clients who were 18–55 years of age, and were receiving MMT from five large methadone maintenance clinics in the Los Angeles area.

Half of the sample was heavy drinkers and nearly half (46%) reported heroin use. Using a structured questionnaire, correlates of heavy alcohol use included White and Hispanic ethnicity, and fair or poor physical health combined with older age (?50 years). We also found that MMT clients who were younger than 50 years, regardless of health status, were more likely to be heavy drinkers.

Compared with moderate alcohol consumers, a greater number of heavy alcohol users also experienced recent victimization.

To optimize MMT, alcohol screening should be part of routine assessment and alcohol treatment should be made available within MMT programs.

Moreover, special consideration should be provided to the most vulnerable clients, such as the younger user, those with a long-term and current history of heavy drug use, and those victimized and reporting fair or poor health. In addition, promoting attention to general physical and mental health problems within MMT programs may be beneficial in enhancing health outcomes of this population.

Research report; Adeline Nyamathi, Allan Cohen, Mary Marfisee, Steven Shoptaw, Barbara Greengold, Viviane de Castro, Daniel George and Barbara Leake. Drug and Alcohol Dependence. Volume 101, Issues 1-2, 1 April 2009, Pages 124-127. Correlates of alcohol use among methadone-maintained adults

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Patterns of alcohol consumption and blood alcohol levels in emergency room patients.

The study was conducted in a public hospital of the province of Jujuy, Argentina.

A survey was conducted among all patients during the 24 hours of 4 consecutive days (N = 500) using the Alcohol Use Disorders Identification Test, short version (AUDIT-C). Blood samples were collected in 84% of participants.

Results showed that;

  • 37% were hazardous drinkers (men 50% vs. women 23%),
  • 29% had symptoms of dependence (men 48% vs. women 11%);
  • 17% of men and 3% of women had high blood alcohol levels, equal or greater than 50 mg/dl.

In multivariate logistic regression models men had;

  • increased likelihood of hazardous drinking (Adjusted OR 3.2; 95% CI 2.1-5.0),
  • symptoms of dependence (Adjusted OR 7.5; 95% CI 4.4-12.7) and
  • increased blood alcohol levels (Adjusted OR 8.0; 95% CI 2.2-28.8), compared with women.

Patients admitted due to accidents, violence, or drug use, had;

  • increased likelihood of hazardous drinking (Adjusted OR 2.4; 95% CI 1.5-3.9),
  • dependence symptoms (Adjusted OR 2.0; 95% CI 1.2-3.3) and
  • increased blood alcohol levels (Adjusted OR 7.7; 95% CI 3.0-19.8), compared with those admitted for other reasons.

Alcoholism has a significant impact on the occurrence of injuries and on the demand imposed on health services.

Prevention programs can potentially reduce the negative health and social impact of alcoholism.

Research; Medicina (B Aires). 2008;68(1):31-6. Alcohol consumption in the emergency room. Alderete E, Bianchini P.

See also;

Understanding and Counseling: Persons With Alcohol, Drug, and Behavioral Addictions
by Howard Clinebell

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alcoholic teenagers in record store Students with a dense family history of alcoholism are most at risk of alcohol-use disorders

This study looks at first-, second- and third-degree relatives instead of just one parent, usually paternal

Not all university students will “mature out” of their heavy-drinking habits.

A new study examines the density of college students’ family history of alcoholism.

This type of measure – looking at first-, second- and third-degree relatives – identified a significant number of at-risk individuals who would have been missed using regular family-history measures.

While many university students tend to “mature out” of heavy-drinking behavior by the time they become young adults, some go on to develop alcohol-use disorders (AUDs). Most genetic research on an individual’s family history of alcoholism (FHA) has looked at the parents’ – usually paternal – alcohol use. New findings indicate that looking at the density of FHA – including first-, second- and third-degree relatives – is much more telling.

Results will be published in the August issue of Alcoholism: Clinical & Experimental Research.

“Using a density measure of FHA can identify a greater number of individuals who may be at risk for developing an alcohol problem,” said Christy Capone. “The greater number of affected relatives … the greater the potential risk of developing an AUD. Ours is the first published study to examine this measure among college students.”

“Family density appears to be a promising method to identify a higher percentage of at-risk individuals,” agreed John Hustad, research associate at Brown University. “For example, in this study, approximately 44 percent of the at-risk participants would have been missed if a typical family-history measure had been used instead of the family-history density approach.”

The study population for this research consisted of 408 undergraduate students (293 females, 115 males) from a northeastern U.S. university who were asked to complete an anonymous survey for course credit during the 2005-2006 academic year.

“Our use of a density measure identified a large proportion of students, about 29 percent, who are at potentially greater risk for development of AUDs based on their report of alcoholism among first- and second-degree relatives,” said Capone. “Our other key finding was the relationship between FHA and other potential risk factors – behavioral undercontrol, age of onset of drinking (AOD), and cigarette use.”

All of these risks factors are inter-related, added Hustad. “First, family-history density was related to AOD, behavioral undercontrol, and current cigarette use which, in turn, are related to alcohol use and/or alcohol-related problems in this sample of college students. Second, behavioral undercontrol was associated with alcohol problems but not the degree of alcohol consumption; this suggests that individuals with a family-history density of AUDs and behavioral undercontrol are more likely to behave irresponsibly when drinking.”

“The importance of identifying these risk factors is the idea that they can be useful markers of at-risk status and can help us to develop appropriate intervention strategies,” said Capone. “Although, given the fact that many students come to college already having experience with alcohol, I believe that preventive interventions should begin early in the high-school years or during the transition from middle school to high school.”

Hustad agreed. “Due to the relationship between earlier AOD and more alcohol-related problems during college, it is clear that education and prevention efforts should begin well before the college years,” he said. “Until that happens, the risk factors identified in this research can be easily implemented in any screening and brief intervention for incoming college students. For example, these results suggest that effective interventions addressing tobacco use may have a positive influence on both smoking and alcohol-related consequences.”

“It is important to remember that not everyone with density of familial alcoholism will go on to develop a long-term problem with alcohol themselves,” said Capone. “Alcohol dependence is a very complex disorder and FHA is but one influence on its development. However, college students who are heavy drinkers and have a greater density of familial alcoholism are certainly at higher risk of continuing to drink in a problematic fashion after the college years.”

See also;

          Alcoholics Anonymous: The Story of How Many Thousands of Men and Women Have Recovered from Alcoholism
by AA Services

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A NATURALISTIC COMPARISON OF OUTCOMES AT SOCIAL AND CLINICAL MODEL SUBSTANCE ABUSE TREATMENT PROGRAMS.

Since the 1970s, much of the public treatment system in California has been based on a social model orientation to recovery for alcoholics, but there has been minimal research on program outcomes. This article reports on follow-up interviews conducted with a representative sample of 722 people who had entered treatment about a year earlier in public and private programs, including publicly-funded social model detoxification and residential programs, and clinical model programs in hospitals and HMO clinics.

higher levels of 12-step program involvement during follow-up, which strongly predicted an absence of alcohol problems

  • Social model clients came to treatment with more severe legal and employment problems, whereas those seeking treatment at clinical programs reported more severe family problems.
  • At follow-up, clients at both types of programs reported attending a similar number of Alcoholics Anonymous (AA) meetings, but social model clients reported going to more Narcotics Anonymous (NA) meetings and being involved in more AA activities.
  • Social model clients were less likely than clinical model clients to report problems with alcohol or drugs at follow-up, but the odds of reporting other problems (e.g., medical, psychological, legal, family/social) were similar.

The program effect for better alcohol outcomes at the social model programs was partially explained by their clients’ higher levels of 12-step program involvement during follow-up, which strongly predicted an absence of alcohol problems.

  • Social networks supportive of abstinence also were predictive of reporting no alcohol problems at follow-up.

In contrast, subsequent detoxification treatment events between baseline and follow-up were associated with a higher odds of reporting alcohol, drug, psychiatric and family/social problems at follow-up.

These findings are consistent with the growing body of literature reporting higher rates of abstinence among those who are able to construct more positive social networks, and who attend and become involved in 12-step programs during and following treatment.

It is important that these results be replicated, as they suggest that social model programs are successful in engaging their clients in AA activities and in NA meeting attendance, and could represent for some an effective alternative to clinical model treatment programs.

Research; LEE ANN KASKUTAS, LYNDSAY AMMON, CONSTANCE WEISNER. A NATURALISTIC COMPARISON OF OUTCOMES AT SOCIAL AND CLINICAL MODEL SUBSTANCE ABUSE TREATMENT PROGRAMS. International Journal of Self Help and Self Care; Volume 2, Number 2 / 2003-2004, 111 – 133


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Prevalence of positive substance abuse screen results among adolescent primary care patients

Objectives; To measure the prevalence of positive substance use screen results among adolescent primary care patients and to estimate the prevalence of substance-related problems and disorders.

Results; Overall, 14.8% of adolescents had positive results on the CRAFFT screen.

Prevalence rates differed significantly across practices (P < .001) after adjusting for demographic factors.

The highest positive rates on the CRAFFT screen were at

  • School-based health centers (29.5%) and
  • Rural family practice (24.2%),
  • Middle rate was at the adolescent clinic (16.6%), and
  • Lowest rates were at the health maintenance organization (14.1%) and
  • Pediatric clinic (8.0%).
  • Sick visits had the highest rate (23.2%).
  • Well-child care visits had a significantly lower rate (11.4%, P < .001).

Statistical modeling estimated that 11.3% of all patients had problematic use,

  • 7.1% had abuse, and
  • 3.2% had dependence.

Conclusion; Substance abuse screening should occur whenever the opportunity arises, not at well-child care visits only.

Arch Pediatr Adolesc Med. 2007;161(11):1035-1041.
      Teens Under the Influence: The Truth About Kids, Alcohol, and Other Drugs- How to Recognize the Problem and What to Do About It
by Katherine Ketcham

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Montage faces 2Alcoholics Anonymous with Narcotics Anonymous success in England

AIMS: This study investigates the relationship between frequency of attendance at Narcotics Anonymous and Alcoholics Anonymous (NA/AA) meetings and substance use outcomes after residential treatment of drug dependence.

It was predicted that post-treatment NA/AA attendance would be related to improved substance use outcomes.

METHODS: Using a longitudinal, prospective cohort design, interviews were conducted with drug-dependent clients (n = 142) at intake to residential treatment, and at 1 year, 2 years and 4-5 years follow-up.

Data were collected by structured interviews. All follow-up interviews were carried out by independent professional interviewers.

FINDINGS: Abstinence from opiates was increased throughout the 5-year follow-up period compared to pre-treatment levels.

Clients who attended NA/AA after treatment were more likely to be abstinent from opiates at follow-up.

Abstinence from stimulants increased at follow-up but (except at 1-year follow-up) no additional benefit was found for NA/AA attendance.

There was no overall change in alcohol abstinence after treatment but clients who attended NA/AA were more likely to be abstinent from alcohol at all follow-up points.

More frequent NA/AA attenders were more likely to be abstinent from opiates and alcohol when compared both to non-attenders and to infrequent (less than weekly) attenders.

CONCLUSIONS: NA/AA can support and supplement residential addiction treatment as an aftercare resource.

In view of the generally poor alcohol use outcomes achieved by drug-dependent patients after treatment, the improved alcohol outcomes of NA/AA attenders suggests that the effectiveness of existing treatment services may be improved by initiatives that lead to increased involvement and engagement with such groups.

Gossop M, Stewart D, Marsden J. Addiction. 2008 Jan;103(1):119-25. Epub 2007 Nov 20. Attendance at Narcotics Anonymous and Alcoholics Anonymous meetings, frequency of attendance and substance use outcomes after residential treatment for drug dependence: a 5-year follow-up study.

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Cannabis use and risk of psychotic or affective mental health outcomes

Background; Whether cannabis can cause psychotic or affective symptoms that persist beyond transient intoxication is unclear. We systematically reviewed the evidence pertaining to cannabis use and occurrence of psychotic or affective mental health outcomes.

Methods; We searched databases from their inception to September, 2006, searched reference lists of studies selected for inclusion, and contacted experts. Studies were included if longitudinal and population based. 35 studies from 4804 references were included. Data extraction and quality assessment were done independently and in duplicate.

"we conclude that there is now sufficient evidence to warn young people
that using cannabis could increase their risk of developing a psychotic illness later in life."

Findings; There was an increased risk of any psychotic outcome in individuals who had ever used cannabis (pooled adjusted odds ratio=1·41, 95% CI 1·20-1·65). Findings were consistent with a dose-response effect, with greater risk in people who used cannabis most frequently (2·09, 1·54-2·84). Results of analyses restricted to studies of more clinically relevant psychotic disorders were similar. Depression, suicidal thoughts, and anxiety outcomes were examined separately. Findings for these outcomes were less consistent, and fewer attempts were made to address non-causal explanations, than for psychosis. A substantial confounding effect was present for both psychotic and affective outcomes.

Interpretation; The evidence is consistent with the view that cannabis increases risk of psychotic outcomes independently of confounding and transient intoxication effects, although evidence for affective outcomes is less strong. The uncertainty about whether cannabis causes psychosis is unlikely to be resolved by further longitudinal studies such as those reviewed here. However, we conclude that there is now sufficient evidence to warn young people that using cannabis could increase their risk of developing a psychotic illness later in life.

Theresa HM Moore, Stanley Zammit, Anne Lingford-Hughes, Thomas RE Barnes, Peter B Jones, Margaret Burke and Glyn Lewis. Cannabis use and risk of psychotic or affective mental health outcomes: a systematic review. The Lancet 2007; 370:319-328

Life With Hope: A Return to Living Through the Twelve Steps and Twelve Traditions of Marijuana Anonymous

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Drugs, Brains, and Behavior: The Science of Addiction

This new, 30-page, full-color booklet explains in layman’s terms how science has revolutionized the understanding of drug addiction as a brain disease that affects behavior. 

The ‘Science of Addiction’ booklet discusses the reasons people take drugs, why some people become addicted while others do not, how drugs work in the brain, and how addiction can be prevented and treated.

The booklet is available to read, download or order at: http://www.drugabuse.gov/scienceofaddiction/

http://www.drugabuse.gov/scienceofaddiction/sciofaddiction.pdf

Publication Year: 2007

Publisher

National Institute on Drug Abuse (NIDA)
6001 Executive Boulevard
Bethesda, md 20892
Phone: 301-443-1124
Website:
http://www.nida.nih.gov

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