Severity Of Dependence Scale Score Research Articles

Psychometric validation of the Chinese Version of the stimulant relapse risk scale (SRRS) in patients with methamphetamine use disorder

BackgroundEvaluating the risk of relapse is a pivotal step in the treatment of patients with methamphetamine use disorder (MUD). The 30-item Stimulant Relapse Risk Scale (SRRS) was originally developed in Japan to meet the demand. This study examined the reliability, validity, and factor structure of the Chinese version of the SRRS for patients with MUD.Methods247 patients with MUD self-rated the Chinese version of the SRRS. Cronbach’s alpha coefficients and inter-item correlation analysis were used to assess the internal consistency reliability. Construct validity was determined through confirmatory factor analysis (CFA), and concurrent validity was examined using the visual analogue scale (VAS) for drug craving and the severity of dependence scale (SDS). We followed the participants for 1 year and assessed the predictive validity based on the correlation of the scores of the Chinese version of the SRRS with the relapse rate within 3, 6, and 12 months of follow-up.ResultsCFA revealed satisfactory model fit estimates for the 22-item Chinese version of the SRRS that consisted of four subscales. The four-factored 22-item Chinese version of the SRRS had adequate internal consistency with Cronbach’s alphas ranging from 0.76 to 0.92. The 22-item Chinese version of the SRRS scores were significantly correlated with the VAS and SDS scores as well as the relapse rate within 3, 6, and 12 months, indicating good concurrent and predictive validity of this scale. The receiver operating characteristic curve revealed a cutoff score of 40 could discriminate between participants with (SDS score ≥ 4) and without (SDS score < 4) methamphetamine dependence (area under the curve = 0.71, p < 0.01).ConclusionsThe 22-item Chinese version of the SRRS that consists of four subscales is a valid and reliable instrument to assess the relapse risk in patients with MUD.

Are cannabis use problems comparable across individuals using for recreational and medical purposes? An international cross-sectional study of individuals who use self-grown cannabis

BackgroundLittle is known about cannabis use problems among individuals who use cannabis for medical purposes and whether rates and determinants of cannabis use problems in medical users differ to those observed among individuals using for recreational reasons. This study examines whether Severity of Dependence Scale (SDS) scores differ across individuals who use self-grown cannabis for the following reasons: “recreational only”, “medical and recreational” and “medical only”. Furthermore, the study tests whether cannabis use frequency, cannabis strain, and type of cannabis influences the strength of the association between purpose of use and cannabis use problems. MethodsData (n = 5,347) were collected from a subsample of the Global Cannabis Cultivation Research Consortium project, focusing on small-scale cannabis growers in 18 countries. Robust regressions analyzed differences in SDS scores across the three use motivation groups. ResultsCompared with respondents reporting only recreational motivations of cannabis use, those with medical (with and without recreational) motivations were associated with lower SDS scores (B: -0.190 and B: -0.459, p < 0.001 respectively). Daily use was associated with significantly higher SDS scores across all cannabis motivation groups, albeit the magnitude of the association was significantly smaller among individuals with medical motivations of use. ConclusionThe extent to which people experience cannabis use problems, and the determinants of these problems may differ depending on whether cannabis use is motivated by recreational or medical purposes. As such, the findings of the current study suggest that public education efforts, harm reduction approaches and policy responses should be tailored depending on whether cannabis is used for recreational or medical purposes.

Associations between methamphetamine and alcohol use disorder, suicidal ideation, and lowered quality of life in methamphetamine users

Aim: There is a strong comorbidity between methamphetamine (MA) and alcohol use whereby MA use may contribute to increased alcohol consumption. This study aims to determine the associations between alcohol drinking and MA-associated behaviors among MA users in relation to mood disorders, suicidal ideation, and health-related quality of life (HR-QoL). Methods: Substance use characteristics were obtained in 106 participants with MA use at a substance abuse treatment center by using the Severity of Dependence Scale (SDS) and the Thai version of the Semi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA). Current alcohol drinking behaviors were estimated using the Substance Outcomes Profile (SOP), which was developed and translated from the Treatment Outcomes Profile, by computing the number of alcohol units x days per month of alcohol use. The Mini-International Neuropsychiatric Interview (M.I.N.I.) was used to estimate lifetime histories of mood disorders and substance abuse and current suicidal ideation. Results: Current suicidal ideation in MA users is to a large extent predicted by the severity of current alcohol and MA use, female gender, and a lifetime history of mood disorders (major depression, dysthymia, and hypo-mania). Moreover, a lifetime history of mood disorders is positively associated with the severity of MA, but not with alcohol use. Partial least squares (PLS) path modeling shows that lowered HR-QoL in MA users is predicted by the SDS score and alcohol dosing (both inversely) and that lifetime diagnoses of mood disorders and MA use (both inversely) and alcohol dependence (positively) have significant effects on HR-QoL which are completely mediated via the SDS score. Conclusions: In MA users, the severity of dependence, and MA and/or alcohol use exert adverse effects on current suicidal ideation and HR-QoL. Mechanistic explanations are given which may explain the inverse associations between the severity of MA and alcohol use in MA abusers.

A randomized controlled trial of brief intervention for patients with cannabis use disorder.

Effective interventions for cannabis use disorders are fairly limited. The present randomized controlled trial (RCT) aimed to compare the reduction in cannabis use (number of days cannabis used) with brief intervention and simple advice in patients with cannabis use disorder. This non-blinded and parallel two-group RCT included 100 male patients with cannabis use disorder. A semi-structured pro forma and severity of dependence scale (SDS) were used. Participants were then randomized to either of the two arms (brief intervention and simple advice) in a 1:1 ratio. Cannabis use patterns and SDS scores were assessed over the phone at week 4, week 8, and week 12. The two groups were comparable in sociodemographics and cannabis use characteristics. Participants in both groups were using cannabis for 30 days in the past month before enrolment. The brief intervention group had a lesser number of days of cannabis use vis-a-vis the simple advice group at 4, 8, and 12 weeks. There was a significant time effect for change in SDS scores (F = 30.629, P < 0.001), but the group effect was not significant (F = 0.379, P = 0.541). In this population of regular cannabis users, brief intervention may be useful in reducing cannabis usage. It can be integrated into routine assessments and management of those with regular use of cannabis.

Using the Severity of Dependence Scale to examine cannabis consumers with impaired control in Canada.

The 2018 Cannabis Act legalizing the production, sale, and use of cannabis for non-medical purposes renewed interest in the importance of ongoing and more detailed monitoring of cannabis consumption and consequences. Some cannabis users will experience impaired control over their use of cannabis, putting them at risk for cannabis use disorder (CUD, sometimes called addiction) and other harms. Including the Severity of Dependence Scale (SDS) in the annual Canadian Community Health Survey (CCHS) would allow for monitoring of one of the more harmful consequences of cannabis use in the post-legalization period. Data from the nationally representative 2019-2020 CCHS were used to examine cannabis consumers with and without impaired control. Respondents who used cannabis in the past year were categorized according to their SDS scores: those with impaired control (SDS ≥ 4) versus those without impaired control (SDS < 4). Cross-tabulations were used to examine the sociodemographic, mental health, health behaviour and cannabis exposure characteristics of those with impaired control. Multivariable logistic regression models assessed associations between these characteristics and the risk of impaired control. The prevalence of self-reported cannabis-related problems experienced by consumers-with and without impaired control-is also presented. In 2019-2020, 4.7% of past-year cannabis consumers scored ≥ 4 on the SDS and were considered to have impaired control. Multivariable logistic regression suggested that the odds of having impaired control remained higher for people who were male, were aged 18 to 24 years, were single or never married, were from lower-income households, were diagnosed with an anxiety or a mood disorder, started consuming cannabis at age ≤ 15, and consumed at least monthly. A better understanding of the characteristics of cannabis consumers experiencing impaired control (a correlate of future CUD or addiction) could help with the development of more effective education, prevention and treatment strategies.

Association of Dopamine Transporter Gene (DAT1) 40 bp 3' UTR VNTR Polymorphism (rs28363170) and Cannabis Use Disorder.

Cannabis remains the most widely used illicit drug among Nigerians, often associated with psychiatric disorders. Since genetic predisposition has been implicated in substance use disorders, we, therefore, aimed at finding out the relationship between dopamine transporter gene (DAT1) polymorphism and cannabis use disorder. We recruited 104 patients from a tertiary psychiatric facility in Lagos, Nigeria, who were diagnosed with cannabis use disorder according to ICD-10 and 96 non-smokers as a comparative group. The smokers were screened with Cannabis Use Disorder Identification Test (CUDIT), and cannabis dependence was assessed with the Severity of Dependence Scale (SDS). Genotyping was carried out for the 40 bp 3' UTR VNTR of the DAT1 (rs28363170). The frequencies of 9R/9R, 9R/10R, 10R/10R among non-smokers and smokers were 14 (14.3%), 25 (26.2%), 57 (59.5%) and 17 (16.3%), 54 (51.9%), 33 (31.7%) respectively. The genotype distribution was in Hardy Weinberg equilibrium (HWE) only in the smokers' population (χ² = 1.896, P = .166). Individuals with the 10R allele were almost twice as likely as the 9R carriers to smoke cannabis (OR = 1.915, 95% CI: 1.225-2.995). However, this polymorphism was not associated with the quantity of cannabis smoked, age at onset of smoking, CUDIT, and SDS scores. The DAT VNTR polymorphism was associated with cannabis smoking but not cannabis use disorder.

Cannabis Use in Adults Who Screen Positive for Attention Deficit/Hyperactivity Disorder: CANreduce 2.0 Randomized Controlled Trial Subgroup Analysis.

BackgroundPrevalence rates for lifetime cannabis use and cannabis use disorder are much higher in people with attention deficit/hyperactivity disorder than in those without. CANreduce 2.0 is an intervention that is generally effective at reducing cannabis use in cannabis misusers. This self-guided web-based intervention (6-week duration) consists of modules grounded in motivational interviewing and cognitive behavioral therapy.ObjectiveWe aimed to evaluate whether the CANreduce 2.0 intervention affects cannabis use patterns and symptom severity in adults who screen positive for attention deficit/hyperactivity disorder more than in those who do not.MethodsWe performed a secondary analysis of data from a previous study with the inclusion criterion of cannabis use at least once weekly over the last 30 days. Adults with and without attention deficit/hyperactivity disorder (based on the Adult Attention deficit/hyperactivity disorder Self-Report screener) who were enrolled to the active intervention arms of CANreduce 2.0 were compared regarding the number of days cannabis was used in the preceding 30 days, the cannabis use disorder identification test score (CUDIT) and the severity of dependence scale score (SDS) at baseline and the 3-month follow-up. Secondary outcomes were Generalized Anxiety Disorder score, Center for Epidemiological Studies Depression scale score, retention, intervention adherence, and safety.ResultsBoth adults with (n=94) and without (n=273) positive attention-deficit/hyperactivity disorder screening reported significantly reduced frequency (reduction in consumption days: with: mean 11.53, SD 9.28, P<.001; without: mean 8.53, SD 9.4, P<.001) and severity of cannabis use (SDS: with: mean 3.57, SD 3.65, P<.001; without: mean 2.47, SD 3.39, P<.001; CUDIT: with: mean 6.38, SD 5.96, P<.001; without: mean 5.33, SD 6.05, P<.001), as well as anxiety (with: mean 4.31, SD 4.71, P<.001; without: mean 1.84, SD 4.22, P<.001) and depression (with: mean 10.25, SD 10.54; without: mean 4.39, SD 10.22, P<.001). Those who screened positive for attention deficit/hyperactivity disorder also reported significantly decreased attention deficit/hyperactivity disorder scores (mean 4.65, SD 4.44, P<.001). There were no significant differences in change in use (P=.08), dependence (P=.95), use disorder (P=.85), attention deficit/hyperactivity disorder status (P=.84), depression (P=.84), or anxiety (P=.26) between baseline and final follow-up, dependent on positive attention-deficit/hyperactivity disorder screening. Attention deficit/hyperactivity disorder symptom severity at baseline was not associated with reduced cannabis use frequency or severity but was linked to greater reductions in depression (Spearman ρ=.33) and anxiety (Spearman ρ=.28). Individuals with positive attention deficit/hyperactivity disorder screening were significantly less likely to fill out the consumption diary (P=.02), but the association between continuous attention deficit/hyperactivity disorder symptom severity and retention (Spearman ρ=−0.10, P=.13) was nonsignificant. There also was no significant intergroup difference in the number of completed modules (with: mean 2.10, SD 2.33; without: mean 2.36, SD 2.36, P=.34), and there was no association with attention deficit/hyperactivity disorder symptom severity (Spearman ρ=−0.09; P=.43). The same was true for the rate of adverse effects (P=.33).ConclusionsCannabis users screening positive for attention deficit/hyperactivity disorder may benefit from CANreduce 2.0 to decrease the frequency and severity of cannabis dependence and attenuate symptoms of depression and attention deficit/hyperactivity disorder-related symptoms. This web-based program’s advantages include its accessibility for remote users and a personalized counselling option that may contribute to increased adherence and motivation to change among program users.Trial RegistrationInternational Standard Randomized Controlled Trial Number (ISRCTN) 11086185; http://www.isrctn.com/ISRCTN11086185

The Severity of Dependence Scale (SDS) for Codeine: Preliminary Investigation of the Psychometric Properties of the SDS in an Online Sample of Codeine Users From the UK.

Objective: Investigate the psychometric properties of the Severity of Dependence Scale (SDS) for codeine and its association with aberrant codeine related behaviors.Design: A voluntary and uncompensated cross-sectional online survey.Setting: Online population (≥18 years).Respondents: Two hundred and eighty-six respondents (66% women) who had used codeine containing medicines in the last 3 months and were living in the UK.Results: Of the respondents (mean age = 35.4 years, SD = 12.5), more than half were employed. Only 3.5% respondents reported no income. The majority of respondents (45.1%) primarily obtained prescription-only codeine from a consultation with a health professional, whilst 40.9% mainly purchased “over-the-counter” codeine containing medicines in a pharmacy without a medical prescription. Principal component analysis indicated a single factor solution accounting for 75% of the variance. Factor loadings ranged from 0.83 to 0.89. Cronbach's Alpha was high (α = 0.92). Several behaviors relating to codeine use were found to significantly predict probable codeine dependence. These included: daily codeine use in the last 3 months (OR = 66.89, 95% CI = 15.8–283.18); tolerance to codeine (OR = 32.14, 95% CI = 13.82–74.75); problems with role responsibility due to intoxication (OR = 9.89, 95% CI = 4.95–19.78); having sought advice on the internet to manage codeine use (OR = 9.56, 95% CI = 4.5–20.31); history of alcohol or drug treatment (OR = 3.73, 95% CI = 1.88–7.43).Conclusions: The SDS was acceptable and feasible to use to assess probable psychological codeine dependence in an online sample of people using codeine containing medicines. SDS scores were associated with behaviors known to be indicators of codeine dependence. Studies are needed in well-defined populations of people who use codeine to test the different aspects of psychometry of the scale compared against “gold standard” criterion [a diagnosis according to the Diagnostic and Statistical Manual of Mental Disorders (DSM-5)].

Dependence-like behaviour in patients treated for medication overuse headache: A prospective open-label randomized controlled trial.

Dependence-like behaviour may complicate withdrawal and increase risk of relapse of medication overuse headache (MOH). The most effective treatment for reducing dependence-like behaviour is unknown. To compare patient-reported outcomes among three treatment strategies for MOH. The primary outcome was change in Severity of Dependence Scale (SDS) score from baseline to 6months. Patients with MOH were randomized to (1) withdrawal combined with preventive medication from start (W+P), (2) preventive medication without withdrawal (P), or (3) withdrawal with optional preventive medication 2months after withdrawal (W). At baseline, 2, and 6months, patients filled out SDS (used for measurements of dependence-like behaviour and treatment feasibility), Headache Under-Response of Treatment (HURT) and WHO Quality of Life BREF questionnaires. Out of 120 patients with MOH, 100 completed the 6-month follow-up and filled out questionnaires. The W+P arm was the most effective in treating MOH. After 6months, the SDS score was reduced by 3.69 (95% CI 3.23-4.49) in the W+P arm, by 3.19 (95% CI 2.43-3.96) in the W arm, and by 1.65 (95% CI 0.96-2.33) in the P arm (p=0.04). At baseline and after 2months, the P arm was considered the most feasible treatment, but at 6-month follow-up, there was no difference in feasibility score, change in HURT score, or quality of life. Dependence-like behaviour was reduced most in the two withdrawal arms. Withdrawal combined with preventive medication is recommended for the treatment of MOH. Withdrawal combined with preventive medication from start is the treatment strategy that reduces dependence-like behaviour the most in MOH patients. Patients initially considered preventive treatment without withdrawal as the most feasible treatment. However, no difference in feasibility between the three arms was found at 6-month follow-up. Withdrawal combined with preventive medication is recommended for treatment of MOH.

Patterns of Substance Use among Patients in Addiction Rehabilitation in Jordan.

Background: This study aimed to identify pattern of substance use among patients at two public addiction rehabilitation centers in Amman. It provided a description of substance use career and assessment of addiction severity, quality of life and quality of sleep among participants.Methods: A quantitative cross-sectional study using a structured data collection form consisting of 4 parts: 1. General data including the demographic characteristics, medical history and career of drug abuse. 2. Severity of addiction using the severity of dependence scale (SDS). 3. Quality of life measured by the EQ-5D and 4. Quality of sleep measured by the insomnia severity index (ISI) scale.Results: A total of 93 patients from 2 treatment settings were recruited over 5 months. The total number of actively used substances was 196, with an average of 2 substances per patient. Alcohol and synthetic cannabinoids were the two most commonly used substances (39.8% and 38.7% respectively) followed by benzodiazepines (33.4%). A notable drop in heroin use was observed (5.4%, 5 out of 23 opioid user) compared to the years 2007-2009. The mean SDS score among patients was 11.43 (SD ± 3.48) indicating high dependence. Sleep problems were reported by 45% of patients. Data showed a significant role of community pharmacies in supplying drugs of abuse for users.Conclusion: Pattern of substance use changed significantly in Jordan with synthetic cannabinoids being of the top substances used and heroin use dropping. Actions should be taken to reframe the legalization of dispensing certain drugs by pharmacists without a prescription.

The Severity of Dependence Scale detects medication misuse and dependence among hospitalized older patients

BackgroundIn older patients, timely recognition and treatment of medication misuse and dependence are crucial to secure medication safety and to avoid increasing health expenditure. Nonetheless, the detection of this condition remains challenging due to the paucity of screening instruments validated for older people.This study assesses diagnostic accuracy, reliability, validity and the factor structure of the Severity of Dependence Scale (SDS) in detecting medication misuse and dependence among hospitalized older patients, focusing on prescribed central nervous system depressants (CNSDs): opioid analgesics, benzodiazepines and z-hypnotics.Methods246 adults aged 65–90 were recruited consecutively from somatic departments of the Akershus University Hospital, Norway. Among these, 100 patients were identified as prolonged users of CNSDs. Diagnostic accuracy and validity of the SDS were assessed using DSM-IV criteria for substance abuse and dependence as the reference standard. We also performed an exploratory factor analysis and assessment of internal consistency using Cronbach’s alpha.ResultsThe area under the ROC curve was 0.86 (95%CI = 0.79–0.93; p < 0.001). A score of 5.5 was determined as the optimal cutoff for detecting CNSD misuse and dependence among older patients. Cronbach’s alpha obtained was satisfactory (α = 0.73). There was a significant positive correlation between the SDS score and DSM-IV criteria for substance abuse and dependence (Pearson’s correlation coefficient = 0.61, p < 0.001). The uni-dimensionality of the SDS was documented.ConclusionsThe SDS is reliable, valid and capable of detecting medication misuse and dependence among hospitalized older patients, with good diagnostic performance. The scale thus holds promise for use in both clinical and research contexts.Trial registrationClinicalTrials.gov Identifier: NCT03162081. Registered 3 May 2017.

Validity of self-reported assessment of Severity of Dependence Scale in Medication-Overuse Headache.

The interview-based Severity of Dependence Scale (SDS) predicts the outcome of withdrawal therapy in Medication-Overuse Headache (MOH). We aimed to compare the interview-based SDS with a self-administrated written version. Fifty-three MOH patients, 19 chronic headache patients without medication overuse and 25 population controls were recruited from a previous randomized controlled trial. The SDS was scored in a telephone interview by headache experts, further, the participants filled in the SDS as a part of a self-administered questionnaire. The SDS assesses scores dependence through five questions, each scored from 0 to 3. A score of ≥5 is associated with MOH. Mean SDS scores were 2.8 (SD 3.0) vs. 3.1 (SD 2.9), p = 0.12, for the interview vs. the self-reported questionnaire, with a correlation 0.78. There was a non-significant bias of 0.32 (95% limits of agreement of -3.6; 4.2) between the two methods in the Bland-Altman analysis. A self-reported SDS questionnaire can be used, and may yield valuable information as a screening tool prior to headache consultations or studies. The possibilities of designing web-based self-treatment tools based on SDS self-assessment and brief intervention may be a future approach for a large group of patients.

Severity of Analgesic Dependence and Medication-overuse Headache.

Background and Aims:Medication-overuse headache (MOH) is a common chronic headache caused by overuse of headache analgesics. It has similarities with substance dependence disorders. The treatment of choice for MOH is withdrawal of the offending analgesics. Behavioral brief intervention treatment using methods adapted from substance misuse settings is effective. Here we investigate the severity of analgesics dependence in MOH using the Severity of Dependence Scale (SDS), validate the SDS score against formal substance dependence diagnosis based on the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) and examine whether the SDS predicts successful withdrawal.Methods:Representative recruitment from the general population; 60 MOH patients, 15 chronic headache patients without medication overuse and 25 population controls. Headaches were diagnosed using the International Classification of Headache Disorders, medication use was assessed and substance dependence classified according to the DSM-IV. The SDS was scored by interviewers blinded to patient group. Descriptive statistics were used and validity of the SDS score assessed against a substance dependence diagnosis using ROC analysis.Results:Sixty-two percent of MOH patients overused simple analgesics, 38% centrally acting analgesics (codeine, opiates, triptans). Fifty percent of MOH patients were classified as DSM-IV substance dependent. Centrally active medication and high SDS scores were associated with higher proportions of dependence. ROC analysis showed SDS scores accurately identified dependence (area under curve 88%). Lower SDS scores were associated with successful withdrawal (P = 0.004).Conclusions:MOH has characteristics of substance dependence which should be taken into account when choosing treatment strategy.Trial registration:Based on data collected in previously reported randomized BIMOH trial (Kristoffersen et al., 2012; Kristoffersen et al., 2015 in the present manuscript, Clinical trials registration number: NCT01314768). The present part, however, represents observational data and is not a treatment trial.

Association of Plasma Dopamine and Norepinephrine Levels and Cannabis Use among Male Cannabis Smokers

Background: Many studies have employed both direct and indirect methods of measuring the brain dopaminergic activity in relation to drug dependence, internet addiction and other disorders in which dopamine signalling has been implicated. However, only a few scientific reports have found a relationship between plasma dopamine and/or norepinephrine levels and addiction. Objective: The present work was aimed at determining the association between plasma dopamine level and consumption of cannabis as the most widely used illicit drug in the world. Methods: One hundred and six participants with cannabis use disorder based on International Classification of Diseases version 10 (ICD-10) were recruited for the study. Screening for current cannabis use disorder was done using Cannabis Use Disorder Identification Test (CUDIT). Cannabis dependence was assessed using the Severity of Dependence Scale (SDS). Venous blood samples were taken from the subjects to assay for the plasma dopamine by enzyme-linked immunosorbent assay (ELISA) method. Results: There was a high correlation between plasma dopamine and SDS scores with plasma dopamine accounting for more than 31% of the variance in SDS scores. However, the relationship between plasma dopamine and current cannabis use disorder was not strong as it accounts for just more than 9% of the variance in CUDIT scores. There was a relationship found between plasma norepinephrine and SDS scores. Plasma norepinephrine only accounts for about 5% of the variance in SDS score while there was virtually no association between plasma norepinephrine and CUDIT scores. Conclusion: Higher plasma dopamine level was found to be significantly associated with cannabis use and dependence as measured by SDS but less associated with current cannabis use disorder as measured by CUDIT.

Predictors of successful primary care detoxification treatment for medication-overuse headache.

To investigate predictors for successful treatment outcome after a brief intervention (BI) for medication-overuse headache (MOH). This study evaluated predictors of successful withdrawal among patients initially participating in a pragmatic cluster-randomized controlled trial with single crossover in Norwegian general practice (the BIMOH study). BI (early or after crossover) was compared to business as usual (BAU) for the treatment of MOH. Patients were followed up 3months after the BI. In total, 46 patients had the chance to receive the BI (24 early and 22 after crossover) and were included in the predictor analyses. The mean reduction in headache and medication days/month from baseline for the BI was 6.9 (95% CI: 4.8-9.1) and 10.9 (8.1-13.6). The mean percentage reduction in headache and medication days was 30.5% (21.4-39.7) and 50.4% (39.5-61.3). Only five patients started prophylactic medication. Neither age, gender, co-occurrence of migraine, main type of overused drug at baseline nor Severity of Dependence Scale score at baseline predicted successful withdrawal in the prespecified analyses. Headache days/month and medication use at baseline were significant predictors in exploratory analyses with more headache and medication days predicting worse outcome. Brief intervention for MOH is a simple and effective intervention in primary care. As the only identified predictors were frequency of headache and medication use, we conclude that treatment for all MOH patients should be attempted in primary care before referral. A raised awareness of MOH is important, as the condition is highly preventable and treatable. ClinicalTrials.gov identifier: NCT01314768.

“Just another drug” for marginalized users: The risks of using synthetic cathinones among NSP clients in the Czech Republic

ABSTRACTBackground: In several EU countries, synthetic cathinone (SC) use has spread among injecting drug users (IDUs); it has been linked to risk of dependence and HIV/HCV transmission. Aims: To analyze the association between dependence and risky injecting practice with experimental and repeated SC use in the past 12 months among the clients of needle-syringe programs in the Czech Republic. Methods: IDUs in six locations in the Czech Republic were surveyed in 2013 and 2014 (n = 463). Single-predictor multinomial logit models were run to determine SC use upon the Severity of Dependence Scale (SDS) and risky injecting practice; the same predictors were included in the multivariate model with confounders. Findings: SDS score and risky injecting practice were significantly associated with repeated SC use in single-predictor models but not in the multivariate model; SC experimentation was linked to young and male respondents and those who lived in a larger city (>50,000); predictors of repeated SC use were homelessness (AOR = 3.2), co-occurring use of stimulants and opioids (AOR = 4.3), and use of cannabis (AOR = 2.4) in the past month. Conclusions: Repeated SC use was associated with poly-drug use and homelessness; given the rather inferior status of SCs among IDUs, their users face a risk of stigmatization and further marginalization.

Reliability, convergent and structural validity and cut-off score of the Severity of Dependence Scale for recreational ketamine users

Background and aimsThere is a lack of instruments for measuring ketamine substance use disorders. The aims were (i) to estimate the reliability and provide evidence of validity of the Severity of Dependence Scale (SDS) in a sample of recreational users, and (ii) propose a cut-off point to determine the presence of dependence. MethodsWe conducted a web-based cross-sectional survey with recreational users who accessed webs related to recreational drug use and harm reduction. 264 recreational ketamine users who had taken it in the past month participated in the study. The Spanish version of the SDS was used. Information on ketamine use-related problems and ketamine use patterns was also collected. ResultsThe reliability estimation calculated by the Cronbach’s alpha coefficient was 0.776. SDS showed evidence of convergent validity based on relationships with other variables. Two comparisons were made in this study to analyze the Receiver Operating Characteristic Curve. For frequency of use in the last month the area under curve (AUC) was 0.835 (CI=0.775-0.895) with optimal discrimination at an SDS score of 3. For having been in treatment for decreasing or quitting ketamine use the AUC was 0.902 (CI=0.840-0.963) and the cut-off point was 4. Confirmatory factor analysis showed a one-dimensional structure when Items 3 and 4 were correlated. ConclusionsThis study has provided evidence of reliability and validity of the ketamine version of the SDS for recreational users. Considering that ketamine use is linked to young people and its strong potential for causing serious impairment, a cut-off of 3 is proposed as indicative of dependence.

OR06-1 * NEUROLOGICAL SYMPTOMS, DEPENDENCE AND BEHAVIOR CHANGES ASSOCIATED WITH KHAT CHEWING IN JAZAN REGION, KINGDOM OF SAUDI ARABIA

BACKGROUND: Khat chewing is highly prevalent among males (up to 37.7%) at Jazan region in the far southwest of Saudi Arabia. Most of Khat quitters showed some withdrawal symptoms and better health after quitting. However, Khat chewers consider khat chewing as a social habit and deny khat dependence. OBJECTIVES: To assess neurological symptoms associated with khat chewing, evaluate the behavior of khat chewers towards the chewing practice, measure psychological dependence among khat chewers. METHODS: A male volunteer study was conducted in Jazan region, Saudi Arabia. Seventy two khat chewers and seventy five non-chewers were recruited in the study. All participants filled a structured questionnaire asking about the neurologic symptom that was developed from the Lundberg Q16 questionnaire. Behaviors related to khat chewing were evaluated using modified questionnaire from Fagerstorm; 1978, Griffiths; 1998 and Kassim and Croucher; 2006 questionnaires. Khat dependence was measured using Severity of Dependence Scale (SDS) of khat lastly modified by Kassim et al; 2010. RESULTS: Khat chewers showed higher prevalence of neurological symptoms than non-chewers. The main neurological symptoms were loss of appetite, nausea and vomiting, feeling irritable, fast heart rate, and difficulty with balance. 52% of khat chewers were dependant with median SDS score of 4.5. Most of chewers (70%) were behaviorally low on the behavior scale. Dependant chewers showed higher frequency of neurological symptoms, mainly; dizziness, nausea and vomiting, being abstained and inability to sleep by night. CONCLUSION: Khat chewing is associated with disturbance in behavior. Around half of khat chewers are dependent on khat. OBJECTIVE evaluation is required to measure khat dependency. Language: en

Association of dopamine receptor D2 TaqI A polymorphism and cannabis use disorder in Lagos, Nigeria.

TaqI A polymorphism (rs1800497) has been linked to many substance use disorders but there is a shortage of data on cannabis use disorder. Nigeria has a huge burden of cannabis use disorder, prompting our investigation of the relation between cannabis use disorder and the TaqI A polymorphism among males in Lagos, Nigeria. We recruited 106 males with cannabis use disorder based on International Classification of Diseases, version 10 (ICD-10) and 98 cannabis-naive males for the study. Cannabis use disorder was assessed using the Severity of Dependence Scale (SDS) and Cannabis Use Disorder Identification Test (CUDIT). Genotyping was done using the Restriction Fragment Length Polymorphism (RFLP). The frequency of the A1 allele was higher among the cannabis users (57.8%) compared with the nonusers (42.2%). The genotype distribution was found to be in Hardy-Weinberg equilibrium in both populations. The homozygous A1 genotype alone contributed 11.8% to the variance in the SDS scores. However, both A1/A1 and A1/A2 genotypes contributed to the variance in the CUDIT scores (10.2% and 5.1%, respectively). In conclusion, the distribution of the A1 allele among the general population in this study correlates with the previously reported findings in a southwestern Nigerian population. We also found that carrying an A1 allele appears to be a significant predictor of cannabis use disorder. The result suggests that carrying just a single allele of the A1 is enough to predict cannabis abuse, as shown by the allele association with CUDIT scores. However, double A1 alleles seem to be necessary for the prediction of dependence.

Monitoring Drug Use Among HIV/AIDS Patients in Brazil: Should we Combine Self-Report and Urinalysis?

Illicit drug use in HIV-infected patients can be linked to impairment of physical and mental health, low health related quality of life, and suboptimal adherence to HIV treatment. This study aimed to evaluate the correlation of self report illicit drug use, urinalysis for cocaine and cannabis metabolites, and severity of dependence among HIV-infected patients on antiretroviral therapy (ART) in a treatment center in Brazil. Four hundred and thirty-eight outpatients of an HIV referral center were interviewed and assessed for drug use (lifetime, last year and last month). Urinalysis was performed to detect the presence of cocaine and cannabis metabolites in urine samples. Overall agreement between self report and urinalysis was almost 68% for cannabis and higher than 85% for cocaine. Positive urinalysis was significantly associated with more than once a week cannabis (p< .0001) and cocaine (p< .0001) use during the last-month. Severity of Dependence Scale (SDS) properly predicted positive cocaine urinalysis results (area under the curve [AUC] = .81, p = .0001). Frequency of cannabis and cocaine use, SDS score degree and positive urinalysis for both drugs were correlated. Our findings suggest that positive self-report is a reliable predictor of positive urine sample both for cannabis and cocaine, but since the agreement was not perfect, there is a role for urine drug screening in the care of patients with HIV-related conditions.