Poster 2016
# / Title / AuthorP1 / Factors associated with risk of transition to injecting among men using opioids through non-injecting routes: a multi-site study from North India / AMBEKAR, Atul
New Delhi India
P2 / The effect of e-cigarette on the smoking behavior of adolescents / BAEK, Young-Kyung
Incheon, Korea
P3 / Psychoactive substance use and treatment needs among undergraduates in a Nigerian university / BELLO, AbidemiOlubunmi
Ilishan Nigeria
P4 / Psychometric Properties of Alcohol Smoking and Substance involvement screening test (Assist V3.0) among University students / BELLO, AbidemiOlubunmi
Ilishan Nigeria
P5 / Satisfaction with Like in Opiate Substitution Treatment / CERNOVSKY, Zack
London ON
P6 / Testosterone suppression in opiate substitution treatment / CERNOVSKY, Zack
London ON
P7 / Study of Critical Period to Intervene Smoking Behavior among adolescents / DOO, Jeong-Hun
Incheon Korea
P8 / Comparison of characteristics of tramadol-dependent patients to heroin-dependent patients / EL MAGD, Samir
Cairo, Egypt
P9 / Relationship of ADHD symptoms with severity dissociative experiences in a sample of inpatients with alcohol use disorder / EVREN, Cuneyt
Istanbul Turkey
P10 / Direct or detailed questions which should be asked in large population survey for tobacco use/tobacco dependence assessment / JENA, Pratap Kumar
Bhubaneswar, India
P11 / Community based study of tobacco use characteristic in women / JHANJEE, Sonali
New Delhi India
P12 / Patterns and psychosocial consequences of cannabis use in treatment nonseekers in a community setting in Delhi, India / JHANJEE, Sonali
New Delhi India
P13 / Calcium/Calmodulin-dependent Protein Kinase IV Gene Polymorphisms in Korean Alcohol-dependent Patients / JUNG, Woo-Young
Pusan, Korea
P14 / Relationship between trait emotional intelligence and tobacco use among school going students / KHAN, LuqmanMunawar
Punjab Pakistan
P15 / A Randomized trial of probuphine implants in adults stabilized on sublingual buprenorphine / KIM, Sonnie
Princeton NJ
P16 / A need for a Standardized Addiction Medicine Curriculum: an Expert Consultation / KLIMAS, Jan
Vancouver BC
P17 / From Pre-contemplation to Action during Acute hospitalization for patients with infectious complications of injection drug addiction: recognizing and responding to a devastating epidemic / KOIVU, Sharon
London ON
P18 / Street Level Workers at Risk Community Response / KOIVU, Sharon
London ON
P19 / Clinical characteristics of alcohol related criminals in Korea / LEE, Kye-Seong
Incheon Korea
P20 / Increasing access to medical detox services for First Nations and Inuit: a novel collaboration between Onen’to:kon Healing Lodge, Health Canada and Hopital Saint-Luc du CHUM / MARSAN, Stephanie Montreal QC
P21 / The role of family in patient retention: a residential addiction treatment context / McPHERSON, Carson
Vancouver Island, BC
P22 / Diabetes and Substance Use Disorder: Is there any association? / MEHTA, Gaurav
Newmarket ON
P23 / Application of GIS for understanding Epidemiology of Substance Use in India / MISHRA, Ashwani Kumar
Delhi India
P24 / Differences in care and needs in the opioid dependent population in Northern vs Southern Ontario / MORIN, Kristen
Sudbury ON
P25 / First year outcomes in dually diagnosed patients receiving injectable Naltrexone at discharge from private residential treatment / MORSE, Siobhan
Brentwood TN
P26 / Implementation of a Standardized Clinical Screening Battery for an Inpatient and Outpatient Concurrent Disorders Program: Initial Findings / RAYMOND, Holly
Hamilton ON
P27 / Non-opioid protocol for outpatient opioid detoxification and transition to agonist treatment / RUDOLF, Vania
Seattle WA
P28 / Adherence among opioid dependent patients treated with buprenorphine in a length of treatment study / ZAH, Vladimir
Mississauga ON
P29 / Patient characteristics among opioid dependent buprenorphine treated patients in a length of treatment study / ZAH, Vladimir
Mississauga ON
P30 / CIWA-Ar protocol versus scheduled benzodiazepine during alcohol detoxification, a retrospective study / ZEEUWS, Dieter
Brussels, Belgium
POSTERS
P1: Factors associated with risk of transition to injecting among men using opioids through non-injecting routes: A multi-site study from North India
Author(s): AtulAmbekar, Tuleshwar Singh, Ashwani Mishra, Ravindra Rao, Alok Agrawal
National Drug Dependence Treatment Centre, Dept. of Psychiatry, All India Institute of Medical Sciences, Ansari Nagar, New Delhi – 110029, India
Introduction
People Who Inject Drugs (PWID), mostly begin drug-use with non-injecting drugs. Factors associated with transition to injecting from non-injecting route are poorly studied.
Objective
To analyse the factors associated with self-report of likelihood to start injecting drugs among non-injecting opioid users.
Methodology
Cross section study. IRB clearance obtained. After informed consent we interviewed people (n=752 males) who use non-injecting opioids (oral/smoking), with a semi-structured questionnaire. Sample recruited in non-biased purposive manner from various cities in north India. Data collected on socio-demographic, drug-use practices and likelihood to start injecting. To the question “are you likely to start injecting?”, factors associated with the response ‘yes’, were analysed.
Results
Mean age 31.2 years (SD 9.1). Rates of opioid use were: 34% - heroin chasing; 42% - oral pharmaceutical opioids; 25% - oral opium. About 49% had PWID as peers; 40% had seen someone inject, and 35% received offer to inject drugs. Ninety-two (12%) reported ‘yes’ to question whether it was likely that they could start injecting. Following factors were significantly associated with this self-reported likelihood (pearson’s chi-square; p<0.05): “knowing an IDU personally”, “witnessing an act of injection”, “history of having received an offer to inject”, and beliefs that injections “act faster” and “are cheaper.”
Conclusion
Many non-injecting opioid users are at risk of switching to injecting route and get exposed to injecting. Unfortunately interventions that may enable them to make informed choices do not reach this group. Apart from addiction-treatment, Harm-reduction messages must reach this group too, to prevent the risk of transition.
Learning Objectives:
- Understanding that non-injecting opioid users are at risk of switch to injecting route of drug intake and there may be certain factors associated with this risk
- Scope of Harm reduction services need to be expanded to include not just people who inject drugs, but those who use drugs through oral / smoking routes too.
P2:The effect of e-cigarette on the smoking behavior of adolescents.
Author(s): Youn-Kyung Baek, Sung-Me Jo, Na-rae Lee, Jin-Hee kim, Do-hui Kim,Su-Hyun Jo, Kye-Seong Lee M.D., Young-Hoon Chon M.D.
Incheon Chamsarang Hospital, Wonchang-ro 240beon-gil 9, Seo-gu, Incheon, Korea. 22783
Email:
The study was conducted to find the effect of e-cigarette on the smoking behavior of adolescents. Out of total 1410 in 7 middle and high school students reported self-administered questionnaire developed to evaluate smoking and e-cigarette status.
144(10.2%) students reported smoking experience of past year and 73(5.2%) students had e-cigarette experiences. Among 73 students who reported e-cigarette experience, 68 students(3.2%) also smoke and only 5 students reported exclusive e-cigarette use. The mean amount of smoking per day was 5.66±5.0 cigarettes. Even though 60(56%) students reported they smoke e-cigarette below 10 puffs at a time, but 31(29%) students smoke more than 20 puffs and 18(16.2%) students said e-cigarette is hard to stop puff. 64(44.4%) smoker students had begun to use e-cigarette to quit smoking. Most of students(94.1%) have used e-cigarette to quit smoking but 88% of respondents thought e-cigarette does not helpful to quit smoking. Among the students who use e-cigarette to quit smoking, 40(44.4%) students smoke again, 16(17.8%) students using both, merely 2(2.2%) students smoke e-cigarette only. Interestingly, 6(6.7%) students answered quit both of them though, rate of quit smoking of whom did not experience e-cigarette was much higher as 17(31.5%) smoker students had quit smoking.
One of two smoke students has tried e-cigarette at least once, and the purpose of use e-cigarette was to quit smoking. But e-cigarette does not helpful to quit smoking rather e-cigarette has higher risk of abuse and seems to enhance nicotine dependence of smoking.
Learning Objectives:
- We will learn about the behavior of young people use electronic cigarettes.
- We will learn about the effects of using electronic cigarettes to youth smoking behavior
P3: Psychoactive substance use and treatment needs among undergraduates in a Nigerian University
Auhtor(s):Abidemi Bello, Peter Onifade, Increase Adeosun, Taiwo Williams, Elizabeth Okonkwo, OlugbengaAjayi, Sotunsa John and Olusegun Baiyewu
Babcock University Teaching Hospital, Ilishan, Ogun State, Nigeria
Objectives: Use of psychoactive substances among adolescents and young adults is a universal problem and contributes enormous health burden. Many studies have determined the prevalence rate of psychoactive substances among university students but there is paucity of data on the degree of involvement in substance use and corresponding treatment needs of the students. This study aimed to determine prevalence rate of substance use and treatment needs of the students in a Nigerian university.
Methodology: This was a cross-sectional survey of substance use in students of a Nigerian university. The World Health Organization’s Alcohol, Smoking and Substance Involvement Screening Test was used in November 2013 to determine the substance use prevalence, the risk levels of substance use and the corresponding treatment needs among 5938 undergraduates. The study was approved by the university’s research ethics committee.
Results: The mean age of the participants was 19 years (sd=2). The commonly ever-used substances were alcohol (32.5%), Tobacco products (3.8%), Amphetamine or other stimulant (2.9%), Opioids (2.5%) and Marijuana (1.8%); while the commonly used substances in the past three months were alcohol (11.4%), Opioids (1.4%), Marijuana (1.2%) and Tobacco products (1.1%). None of students who participated used any drug at high risk level which required referral for intensive treatment, but 188 (3.2%) used at least one substance at moderate risk level.
Conclusions: At least 188 (3%) students needed secondary intervention against substance use. Those who were at moderate risk of multiple substances might need more than brief intervention.
Learning Objectives
1. To determine the prevalence rate of psychoactive substance use and the degree of involvement among University undergraduates.
2. To determine the treatment needs of the students involved in psychoactive substances in a Nigerian university.
P4: Psychometric Properties of Alcohol Smoking and Substance Involvement Screening Test (Assist V3.0) Among University Students
Author(s) Name :Dr. AbidemiOlubunmi Bello,Onifade Peter, AbiodunOlumide, Sotunsa John, LadipoOluwakemi and AdesanyaOcheze
Babcock University Teaching Hospital, Ilishan, Ogun State, Nigeria
Objectives: This study aimed to determine the reliability of the self-report instrument and its validity against urine drug test (UDT).
Methodology: This study of diagnostic accuracy was conducted among students of Babcock University, Nigeria, in 2013. The study was approved by the university’s research ethics committee. Each student had urine drug test in addition to an interview with the use of Alcohol Smoking and Substance Involvement Screening Test (ASSIST) on the same day. The laboratory officers and the interviewers were blind to the results of each other.
Results: The 2797 participants were mostly 18-20 years (61.2%) and females (65.1%), Urine of 0.1% tested positive to cannabis and Methamphetamine, 0.4% to Opiates. The three-month self-report gave the prevalence rates of Amphetamine Type Stimulants, Opioids, Diazepam, Cannabis and cocaine at 1.2%, 2.6%, 1.4%, 1.0%, and 0.3% respectively. Against the urine drug test, ASSIST had low sensitivity and high specificity. Its diagnostic accuracy was greater than 95%. Eleven domains of ASSIST had internal correlation coefficients of greater than 0.7.
Conclusions: The ASSIST version 3 has acceptable psychometric properties and is valid for use among university students. Because it is able to detect students who had not used drug recently enough to be picked by UDT and because it is able to determine level of risk and treatment needs of the students, it is recommended as an essential part of drug use screen program in the university. It is also recommended that UDT, or better still, hair drug analysis be done alongside ASSIST administration.
Learning Objectives
1. To determine the psychometric properties of Alcohol Smoking and Substance Involvement Screening Test (Assist V3.0) among University undergraduates.
2. To determine the reliability of the self-report and its validity against urine drug test.
P5: Satisfaction with Life in Opiate Substitution Treatment
Author(s): Gamal Sadek, ZackCernovsky, Paul Istasy, Yves Bureau, Simon Chiu.
Professor of Psychiatry, Western University, London ON; 98 Greenbrier Crescent, London, ON N6J 3X9
Email:
Objective. Opiate substitution treatment aims at restoring an adequate satisfaction in life. We evaluated to what extent chronic pain and concurrent substance abuse interfere with this goal.
Method. Sixty patients (mean age 37.9, SD=9.3; 32 males, 28 females) underwent urine tests for cocaine, benzodiazepines, oxycodone, and for other opiates, and completed Pavot’s Temporal Satisfaction With Life Scale (TSWLS). This scale consists of 15 items of which 5 assess the satisfaction with one’s past, 5 with the present, and another 5 with the future. The patients also completed 3 items from the Brief Pain Inventory (scales from 0 = no pain to 10 = extreme pain) to assess their average level of pain, the worst pain, and the least pain.
Results. Only 4 patients (6.7 %) rated their worst pain at zero, i.e., as absent. The average pain in this sample was 4.2 (SD=2.7), the worst pain 6.3 (SD=3.2), and the least pain was 2.6 (SD=2.3). Our patients’ average satisfaction score (59.8, SD=19.6) was significantly lower than in Pavot’s normative sample of 294 adults (70.8, SD=14.8, t=4.1, df=72.8, p<.001). A significant inverse correlation (r=.31, p=.008) was found between the total satisfaction score and the sum of all pain ratings. The satisfaction score was not significantly related to concurrent substance abuse (p>.05).
Conclusions. Pain is prevalent among our patients and its management remains an important clinical issue.
Reference. Pavot W, Diener E, Suh E The temporal satisfaction with life scale. Journal of Personality Assessment, 1998, 70(2), 340-354.
Learning Objectives:
1. Chronic pain is prevalent among patients in opiate substitution treatment
2 The pain interferes with the satisfaction in life of patients in opiate substitution treatment.
P6: Testosterone suppression in opiate substitution treatment
Author(s): Simon Chiu, Gurpreet Sidhu, Heinz Mayr, ZackCernovsky, Katrina Warren, Yves Bureau
Professor of Psychiatry, Western University, London ON; 98 Greenbrier Crescent, London, ON N6J 3X9
Email:
Objective. Suboxone is theoretically less likely to suppress testosterone than methadone in opioid dependent patients. We examined related hormonal measures and their clinical correlates.
Method. We compared laboratory measures of total testosterone, free testosterone, LH, FSH, and prolactin of 33 male methadone maintenance patients (mean age = 38.6 years, SD=10.0) with those of 31 male suboxone patients (mean age=40.7 years, SD=11.3) in opiate substitution treatment. The two groups did not significantly differ in age, height, and weight (t-tests, p>.05, 1-tailed).
Results. Our methadone patients did not significantly differ (t-tests, ns, 1-tailed) from their suboxone counterparts in their laboratory mean values of any of the 5 hormonal measures. All average hormonal values for these two groups of patients were within the normal reference range, except for below normal levels of free testosterone (122.6 pmol, SD=100.5 for those on methadone and 163.2 pmol, SD=145.7 for those on suboxone). Longer duration of opiate use was significantly associated with lower total testosterone (r =-.41, p< .05, 1-tailed) in our methadone patients, but not in suboxone patients (r =-.03, p= .445, 1-tailed). No significant correlations were noted of the duration of opiate use to the other hormonal measures (p>.05, 1-tailed).
Conclusions. Group averages of hormonal values were within normal both in methadone and suboxone patients, except for free testosterone which was below normal in both groups. Longer duration of opiate use was significantly associated with lower total testosterone in methadone patients, but not in suboxone patients.
Learning Objectives:
1. Average levels of total testosterone, free testosterone, LH, FSH, and prolactin are not significantly different in methadone versus suboxone patients, but average level of free testosterone is below normal in both groups.
2. Longer duration of opiate use in methadone patients is associated with lower total testosterone.
P7: Study of Critical Period to Intervene Smoking Behavior among Adolescents
Author(s): Jeong-Hun Doo, Chong-Nak Son, Kye-Seong Lee M.D., Young-Hoon Chon M.D.
Incheon Chamsarang Hospital Wonchang-ro 240beon-gil 9, Seo-gu, Incheon, Korea. 22783
The purpose of this study was to investigate the critical period to intervene smoking behavior among adolescents. 2285 data of adolescent in middle and high school were analyzed. The study results show that the first period of smoking among adolescents is second grade of middle school on average. The adolescents whose parents are smokers are more likely to show smoking behaviors. The adolescents whose friends are smokers are more likely to start smoking by the time of second grade of middle school. So more active interventions are needed such as the education about the risk of smoking or the intervention program.
Learning Objectives:
1. I want to know first period of smoking among adolescents
2. I want to explain the variable that they start smoking
P8: Comparison of characteristics of tramadol-dependent patients to heroin-dependent patients
Author(s): Samir Fouad Abou El Magd, MD, MomtazMohamed Abd El WahabM.D ,RehamAbdelmaksoudAbuismail, Christine. GrellaM.D ,Dalia Ahmed Enaba M.D .
63 Abdel Aziz Al Saad – Manial Cairo Egypt
Email:
Objective: To evaluate the clinical characteristics of patients with current tramadol dependence disorder compared to heroin dependence disorder, examine association between sociodemographic variables and dependence disorder of each substance, identify the risk factors correlated to dependence disorder of each substance and correlate the quality of life to severity of dependence of each substance in addition to other characteristics.
Method: A cross sectional observational study including 100 treatment seeking patients with either tramadol or heroin as a primary substance of dependence. Psychometric assessment included: Psychiatric assessment using MINI, Addiction severity index (ASI), assessment of Quality of life using WHO QoL BREF, motives of initial and continued substance use and history of traumatic life events.