Literature DB >> 24701119

Personality disorders in addiction outpatients: prevalence and effects on psychosocial functioning.

Paola Casadio1, Deanna Olivoni2, Barbara Ferrari3, Cecilia Pintori2, Elvira Speranza2, Monica Bosi2, Valentina Belli2, Lucia Baruzzi2, Paola Pantieri2, Grazia Ragazzini2, Filippo Rivola2, Anna Rita Atti3.   

Abstract

AIM: To evaluate the prevalence of personality disorders (PDs) in the outpatients attending an addiction service, with particular attention to the effects of PDs on social and occupational functioning and on the intensity of treatment required.
DESIGN: A cross-sectional epidemiological study with the assessment of 320 outpatients, through SCID-II (Structured Clinical Interview for DSM-IV Axis II PDs), SOGS (South Oaks Gambling Screen), and questionnaire extracted from EuropASI.
RESULTS: The percentage prevalence of PDs was 62.2% (confidence interval at 95% (95% CI): 57-68). PDs were positively associated with placement in an addiction treatment community (odds ratio (OR) = 2.98, CI = 1.77-5.03), having received lifetime treatment at the mental health center (MHC) (OR = 3.67, CI = 1.67-8.07) or having attempted suicide (OR = 2.30, CI = 1.05-5.02). Furthermore, PDs were related to a reduced probability of keeping a job (OR = 0.54, CI = 0.31-0.95) or starting a family (OR = 0.51, CI = 0.30-0.87).
CONCLUSION: Axis II comorbidity occurs in 62% of addiction outpatients and has substantial effects on social and occupational functioning as well as on treatment programs.

Entities:  

Keywords:  addiction; dual diagnosis; outpatients; personality disorders; prevalence; social functioning

Year:  2014        PMID: 24701119      PMCID: PMC3972129          DOI: 10.4137/SART.S13764

Source DB:  PubMed          Journal:  Subst Abuse        ISSN: 1178-2218


Introduction

In the planning phase of the treatment of a patient with substance use disorders (SUDs), it is of fundamental importance to make an appropriate diagnosis of personality disorders (PDs).1–3 Failure to diagnose such disorders can result in the exclusion of psychotherapeutic,4–6 pharmacological, and social interventions, which could otherwise be essential for the recovery of the patient.7–13 There have been many international studies in the quest to understand the relationship between personality and substance addiction, but if we eliminate those studies that did not investigate the full range of PDs, that did not use structured interviews for diagnosis, or that had limited study samples, the amount of data available is considerably reduced. Furthermore, addiction treatment programs are now organized in outpatient settings in an attempt to reduce hospital/therapeutic community residency. For this reason, it is essential to obtain credible data regarding outpatient services. In 1995, a systematic review of literature made by Verheul et al.14 estimated a prevalence of PDs ranging from 44 to 79%. However, only 10 studies15–24 investigated the full range of PDs using structured or semi-structured interviews and only 2 of those were carried out on outpatients. Kleinman et al.19 evaluated a sample of 76 cocaine addiction patients revealing a PD prevalence of 58%, and Brooner et al.16 examined 203 outpatients in treatment for opiate abuse, 37% of whom were diagnosed with an Axis II disorder. In the following years, important epidemiological studies were carried out with more adequate samples and standardized diagnostic methods. In a study of a sample of 366 alcoholics (in- and outpatients) by Morgenstern et al.25 the prevalence of PDs was 57.9%. APD was the most frequent: 22.7% with gender differences (25.7% male, 9.1% female). Women had the highest rate of prevalence for borderline PD (BPD) (36 vs. 19%) and self-defeating disorders (22 vs. 11%). There were high rates of comorbidity among PDs not confined within a single cluster. Brooner et al.26 examined 716 outpatients undergoing methadone substitution treatment. The prevalence of PDs was 35%. In Rounsaville et al.’s study,27 PDs were diagnosed in a mixed (clinic and hospital) sample of 370 patients. In all, 57% of the patients had at least one PD, with particular prevalence in cluster B. It was observed that the inclusion of substance abuse symptoms produced a significant increase in the number of cases diagnosed, especially APD and BPD. Kokkevi et al.28 found a prevalence of PDs in 173 addicts (in- and outpatients) at 59.5%. Driessen et al.29 examined a sample of 250 alcoholics in hospital treatment revealing a 16% PD prevalence (another 17% had a PD not otherwise specified (NOS) diagnosis for a total prevalence of 33.6%). Verheul et al.30 established a PD prevalence of 57% in a sample of 370 patients (in- and outpatients), with a high prevalence of APD, BPD, and avoidant personality. It was also shown that symptom profiles of PDs were not associated with anxiety/mood disorders. Following the studies by Kleinman et al.19 and Brooner et al.16,26, two studies were conducted on addiction outpatients. Bowden-Jones et al.31 worked on a multi-centric study carried out in four centers for addicts and three for alcoholics. Out of a sample of 280 patients, 37% of the addicts and 53% of the alcoholics had a PD (assessed by PAS-Q,32 a screening test for PDs). Zikos et al.33 conducted a study on 138 alcoholics seeking outpatient treatment. The prevalence of PDs was 59% (assessed by SCID-II (Structured Clinical Interview for DSM-IV Axis II PDs)), of which 32% showed more severe psychological/social problems and a greater likelihood of treatment dropout and relapse. Overall, because the prevalence of PDs in addicts is about four times higher than in the general population,34–36 a more accurate consideration of the complex relationships between PDs and SUD is needed. The data suggest that personality pathology is involved in the etiology and course of SUD.34

Aims of the study

The primary aim of this study is to evaluate the prevalence of PDs in patients attending an Italian outpatients’ service with substance abuse/addiction disorders. The secondary aim is to evaluate the patients’ social-demographic characteristics (age, gender, family status, education, employment), their clinical-therapeutic characteristics (age at start of substance use, duration of the SUD, physical comorbidity, time in prison, placement in therapeutic community), and the degree of impairment of social and occupational functioning because of PDs.

Materials and Methods

Setting and design

Data were collected during 2012 at the Addictions Service of Faenza, AUSL Ravenna. It is an outpatient service with a strong emphasis on the management of alcohol and opiate dependency. The study is cross-sectional and epidemiological, undertaken in three phases. Patients were recruited. The patients were contacted by a service professional and informed of the study’s characteristics. For those who elected to participate after reading the information module and signing an informed consent form, an appointment was made with an interviewer. This phase was managed by a key worker chosen from the clinical team, comprising psychiatric nurses, social workers, and educators. Patient assessment by consultant psychiatrists or psychologists. Collection and analysis of data using SPSS (Statistical Package for Social Science) version 17. This study was approved by CEAVR (Ethics Committee of the Area Vasta Romagna) and IRST (Romagna Scientific Institute for Tumour Therapy and Study).

Sample

The recruited patients were all effectively in treatment at the service during the study period. Out of 436 patients who were asked to participate, 320 completed the study. The following criteria were considered for inclusion: age between 15 and 65, good comprehension of Italian, lifetime substance addiction, or abuse according to DSM-IV-R criteria, at least one month’s effective treatment at the service in Faenza in 2012, and residency in the service catchment area. The criteria for exclusion were as follows: age below 15 or above 65, foreigners with inadequate comprehension of Italian (unable to undergo a linguistically complex test such as SCID-II37), severely compromised cognition, invalidating physical disease sufficient to compromise the quality of the interview, temporary incarceration or placement in a community outside the catchment area, presence of a psychotic disorder in active phase, and abandonment of the treatment program or discharge during the study period. Considering these criteria, 84 patients were excluded (34 discharged/abandoned treatment, 11 aged over 65, 8 placed in communities outside our area, 3 placed in prison, 7 had cognitive deficiency, 9 had active phase psychoses, 8 had language difficulties, and 4 had severe physical pathologies). Of the remaining 352 patients, 23 refused to participate and 9 died. According to the Italian statistical authority ISTAT, the general population on January 1, 2012 of the Faenza district pertaining to our service was 87,067, of which 55,011 inhabitants were in the target age range of 15–65.

Assessments

The social-demographic and clinical questionnaire were extracted from EuropASI. EuropASI is a European adaptation of the Addiction Severity Index.38–40 It is a multidimensional semi-structured instrument designed to assess difficulties in substance abusers in seven areas: medical, employment, alcohol use, drug use, legal, family/social, and psychological. With the use of this interview, relevant data have been collected regarding the social-demographic characteristics of the individual (sex, age, education, employment, family composition, and living conditions), the substance dependence characteristics (substances used, method of use, clinical course, pharmacological and psychotherapeutic treatment applied, necessity of hospital detoxification, placement in a therapeutic community), the presence of physical pathology, the legal situation, and the patient’s psychological condition. It has been a useful instrument for investigating psychological and occupational impairment. SOGS (South Oaks Gambling Screen)41: a questionnaire designed to assess problems related to gambling, using 20 items based on DSM-III criteria42 for the assessment of pathological gambling (PG). SCID-II37: a semi-structured interview for the diagnostic assessment of PDs according to DSM-IV. In those cases where the disorder in question causes a significant compromise of psychic functioning but does satisfy the criteria for a specific PD, a diagnosis of NOS PD is formulated. The interviews were conducted by one of the clinicians from the service (two consultant psychiatrists and two psychologists) with extensive experience in assessing and treating addiction disorders. The clinicians received intensive training on the administration of this instrument. All participants were assessed a minimum of 30 days after entry into treatment. Patients were not interviewed while intoxicated or in acute withdrawal. The interviewers were also instructed not to include behavior occurring only in a state of intoxication or withdrawal. Each participant was interviewed for assessment three times by a consultant psychiatrist to determine the presence of Axis I pathology. Axis I diagnoses were obtained clinically, according to DSM-IV-TR criteria.

Data analysis

First, the association between variables of interest and outcome was verified by means of a chi-squared test. Second, all statistically significant differences were re-tested using univariate logistic regression analysis which enabled an estimation of odds ratios (ORs) and confidence interval at 95% (95% CI). Third, possible confounding factors were included in a multivariate logistic regression model. The data were processed with the SPSS version 17 program.

Results

Social-demographic characteristics

The sample comprised 320 patients, of whom 74% were male. The mean age was 40.9 (SD ± 10.8). A total of 59% had standard education, 19% had a professional diploma (at least three years), and 21% had received higher education (upper school or university). In addition, 64% were employed and 27% drew disability benefits. In all, 27% lived with their original families, 43% with a partner and/or children, 20% alone, and 10% with friends or others. Almost half of the sample was single, 33% married or were in partnership, and 20% separated (Table 1).
Table 1

Number (n) and proportion (%) of subjects according to social-demographic characteristics.

SOCIAL-DEMOGRAPHIC VARIABLESN%
Men23673.8

Women8426.3

Age group
15–30 years5918.4
31–50 years19962.2
51–65 years6219.4

Education
illiterate20.6
primary268.1
lower middle16250.6
professional diploma6219.4
upper school5517.2
university degree134.1

Employment20463.8
regular13666.7
non-contractual5225.5
occasional167.8

Pension
disability benefits8626.9
early retirement206.3

Habitation
own property14946.6
rented property14244.4
homeless51.6
therapeutic community247.5

Living with
original family8626.9
partner6018.8
own children185.6
partner and children5918.4
alone6520.3
other3210.0

Social Status
unmarried14144.1
cohabiting4815.0
married5918.4
separated/divorced6319.7
widowed92.8

Substance dependence characteristics

In 61% of cases, the primary addiction was heroin, with cocaine 4%, alcohol 28%, and PG 7% (Fig. 1). Among the opiate addicts, 30% (N = 59) had a second pathological addiction: 66% cocaine, 29% alcohol, and 5% gambling. Regarding PG, SOGS revealed that although only 22 patients had a primary diagnosis of PG, 32 patients (10%) displayed current gambling behavior and almost the same number had done so during their lifetime.
Figure 1

Primary substance dependence diagnosis. In 61% of cases, the primary addiction was heroin, with cocaine 4%, alcohol 28%, and PG 7%.

The average age for starting opiate use was 19 ± 4, for cocaine 22 ± 7, and for alcohol 28 ± 11 (Table 2). Considering the substance of primary use, 63% were in complete remission (greater than six months), 12% in partial remission (less than six months), and 25% continued use. These clinical assessments were confirmed by urine tests for opiates/cocaine and blood tests for alcohol.
Table 2

Age at the first substance use and years of treatment.

MMINMAXDS
Average age at first opiate use191239±4.3
Average age at first alcohol use281261±11.1
Average age at first cocaine use221253±7.2
Number of years in treatment5.6124±5.0
The specific medicines used for the treatment of the primary addiction were methadone 32%, buprenorphine 13%, and gamma-hydroxybutyrate with or without disulfiram 14%. A total of 39% of patients were not being treated with specific medicines, particularly when the diagnosed primary addiction was cocaine or PG. In all, 48% had been placed at least once in a therapeutic community. A total of 39% had been hospitalized for detoxification, 61% had been arrested, and 32% had been to prison. The presence of infective and liver diseases is an important clinical factor. Overall, 46% of the service patients had a family history of substance abuse or addiction (Table 3).
Table 3

Number (n) and proportion (%) of subjects according to clinical-substance dependence characteristics.

CLINICAL-SUBSTANCE DEPENDENCE VARIABLESN%
Primary substance
 opiate19661.0
 cocaine134.0
 alcohol8928.0
 gambling227.0

Comorbidity8426.2
wIth opiate addiction59
 alcohol175.3
 cocaine3912.2
 gambling30.9
with alcohol addiction8
 opiate00.0
 cocaine61.9
 gambling20.6
with gambling addiction17
 opiates61.9
 alcohol61.9
 cocaine51.6

Gambling
 non-gambler21065.6
 ex-gambler288.8
 pathological gambler3210.0
 occasional gambler5015.6

Intravenous substance use17454.4

Smokers21868.1

Addiction status (primary substance)
 remission20263.0
 partial remission3812.0
 continued use8025.0

Pharmacological treatment (primary substance)
 methadone10232.0
 buprenorphine4213.0
 gamma-hydroxybutyrate155.0
 disulfiram196.0
 gamma-hydroxybutyrate and disulfiram93.0
 other72.0
 none12639.0

Psychotherapeutic treatment6119.0

Therapeutic community treatment history15448.0

Hospitalised for detoxification12539.0

Illnesses
 cardiac disease247.5
 hepatic disease10833.8
 respiratory disease226.9
 infectious disease9128.4
 neural disease268.1
 osteoarticular disease4112.8
 other pathologies3310.3

Family addiction history14645.6

Arrest history19561.0

Prison10332.0

Psychiatric characteristics

In all, 20% of patients had contact with the mental health center (MHC) and 12% had an Axis I disorder, of which 17% had mood disorders, 4% anxiety disorders, and 5% psychotic disorders. Regarding behavioral problems, 34% reported having had difficulty controlling violent behavior. A total of 22% had attempted suicide at least once, and 22% reported a family history of psychiatric disorders. The prevalence of PDs was 62.2% (95% CI: 57–68); 199 out of 320 addiction outpatients met criteria for at least one Axis II disorder, the most common PDs being borderline and antisocial. In all, 27.2% of the sample displayed several PDs in comorbidity. In the data analysis phase, we chose to consider the primary PD diagnosed. (On reaching the threshold score for SCID-II diagnosis, the PD with the highest number of items was considered primary.) Grouping the PDs by cluster, we found that 8% had a cluster A disorder, 33% cluster B, 14% cluster C, and 7% appendix. The prevalence of each PD among all patients (considering the primary diagnosis) was 4.4% paranoid, 3.7% schizoid, 1.5% histrionic, 15.0% borderline, 13.8% antisocial, 2.5% narcissistic, 7.8% avoidant, 1.6% dependent, 4.7% obsessive-compulsive, 4.7% passive-aggressive, 0.7% depressive, and 1.8% NOS personality (Table 4).
Table 4

Number (n) and proportion (%) of PDs among all patients canvassed (N = 320).

PERSONALITY DISORDERS%N
Personality Disorders of Cluster A8.126
Paranoid4.414
Schizoid3.712
Schizotype00
Personality Disorders of Cluster B32.8105
Histrionic1.55
Borderline1548
Antisocial13.844
Narcissistic2.58
Personality Disorders of Cluster C14.145
Avoidant7.825
Dependent1.65
Ossessive-Compulsive4.715
Appendix7.223
Passive-Aggressive4.715
Depressive0.72
NOS1.86
Total62.2199
Furthermore, a different distribution of PDs was found according to sex (P < 0.001, chi-square test). In all, 91% of patients with APD were male whereas 52% of those with BPD were female (a high number considering the lower number of women in treatment).

Clinical, social, and occupational characteristics associated with PDs

With regard to employment, having a job is associated with PD diagnosis (OR = 0.5, P = 0.03). Among unemployed patients (N = 116), fully 74% had a PD. Among those with a PD, 57% had a job whereas among those without a PD, 75% worked (Table 5).
Table 5

Association between significant variables and PDs. Odds Ratio (OR) and 95% Confidence Interval (95%CI) per PDs according to the logistic regression model. § statistically significant.

VARIABLESORCIP
Male1.340.72–2.510.35
Age1.000.98–1.020.94
Employment0.540.31–0.950.03 §
Living with his own family0.510.30–0.870.01 §
Therapeutic community2.981.77–5.03<0.01 §
Contact with MHC3.671.67–8.07<0.01 §
Violent Behaviour1.680.94–2.990.08
Suicidal Behaviour2.301.05–5.020.04 §
As for family relationships, it was observed that having one’s own family was associated with PD (OR = 0.5, P = 0.01). Among those living with their original family, alone, or in a structured environment, 65% (N = 130) had a PD whereas, among those with their own family, only 35% (n = 69) were affected. Among patients who had been treated at least once in a therapeutic community, 75% (n = 116) had a PD. Among patients with a PD, 58% (N = 116) had been treated in a community whereas, among those without, only 31% (N = 38) had lived in a community. Those with a PD had a threefold risk of needing placement in an addiction treatment community (OR = 2.98, P = 0.00). Among patients who had lifetime contact with a MHC, 85% (N = 57) had a PD. Among pathological addiction patients with a PD, 29% (N = 57) had contact with an MHC, whereas among those without an Axis II disorder, only 8% (N = 10) had contact with an MHC. Having a PD increased the possibility of needing MHC assistance by a factor of 3.7 (OR = 3.67, P = 0.00). Having a PD doubled the probability of having attempted suicide at least once in life. Among patients who had attempted suicide, 84% (N = 58) had a PD. Among those who had a PD, 29% (N = 58) had attempted suicide; among those without a PD, only 9% (OR = 2.3, P = 0.04) had done so. In particular, an important link between BPD and attempted suicide (P = 0.00, chi-square test) was observed. Among those who had attempted suicide, 26% had BPD, 58% another PD type, and 15% no PD.

Discussion

The primary aim of this study is to determine the prevalence of PDs among SUD patients assisted by an outpatient service. Almost two out of three patients fulfill the criteria for at least one PD (62%) and 27% present comorbidity in several PDs. The most common Axis II disorders found were borderline personality (15%), antisocial personality (13.8%), avoidant personality (7.8%), passive-aggressive personality (4.7%), obsessive-compulsive personality (4.7%), and paranoid personality (4.4%). Table 6 compares the results of this study with those present in literature published between 1992 and 2012 in samples greater than 100 and using standardized diagnostic instruments. Among studies conducted solely in outpatient settings, our prevalence data are higher than those of Brooner et al.16,26 and Bowden-Jones et al.,31 but in line with Zikos’ research.33 Our data are within the average if we consider the overall results of studies in both outpatient and hospital settings.
Table 6

Principal studies in literature regarding the prevalence of PDs in substance addicted patients.

AUTHORNACEDEJONGBROONERMORGEN-STERNBROONERROUNSA-VILLEKOKKEVI DRIESSEN VERHEULBOWDEN-JONESZIKOSTHIS STUDY
Year199119931993199719971998199819982000200420102012
SubstanceAlcohol-DrugsAlcoholDrugsDrugsAlcoholAlcohol-DrugsAlcohol-DrugsDrugsAlcoholAlcohol-DrugsAlcoholDrugsAlcoholAlcohol-Drugs
Sample1001788620336671637017325037064216138320
SettingInInInOutIn – OutOutIn – OutIn – OutInIn – OutOutOutOutOut
InstrumentScidSidpSidpScid IIScid IIScid IIScid IIScid IIIpdeScid IIPas-QPas-QScid IIScid II
Prevalence of PDs57.078.091.037.057.934.857.059.533.657.053.237.059.062.2
Cluster A7.021.318.615.05.218.66.53.78.1
Paranoid7.01426.73.920.73.213.213.91.210.84.82.74.4
Schizoid3.97.01.10.33.84.33.83.20.93.7
Schizotype16.940.70.80.34.64.00.84.60.0
Cluster B30.037.745.748.67.645.724.230.132.032.8
Antisocial3.05.147.72322.725.12733.54.427.011.310.25.013.8
Borderline17.017.465.17.922.45.218.427.73.218.49.77.713.015.0
Narcissistic4.06.712.80.56.60.89.511.60.49.57.02.5
Histrionic6.033.764.03.44.41.411.911.00.811.93.23.61.5
Cluster C7.033.624.328.97.624.335.513.014.1
Oss.-Comp.2.019.125.61.010.70.76.26.40.86.23.20.97.04.7
Dependent4.029.234.92.55.21.78.18.72.48.116.18.11.6
Avoidant2.019.126.78.418.05.218.416.85.218.427.45.06.07.8
Nos(7.0)(1.0)(13.1)(6.4)16.8(3.2)(15.8)12.01.8
Depressive0.7
Passive-Aggressive5.01448.83.410.74.111.612.111.64.7
The rates of prevalence in the diverse studies vary from 33 to 91%. According to Verheul et al.,43 sampling factors (setting, gender, age group), diagnostic criteria (time-frame, exclusion of substance-related pathology), and assessment procedures (method, time of measurement) are the variables most responsible for the huge varieties in prevalence rates. These factors partly explain the ample range of variability in the prevalence of PDs in addicts, but they testify to the need for further studies to achieve reliable and comparable prevalence data, which could explain the relationship between these two pathological dimensions more clearly. Such a high rate of PD prevalence raises the question of the consequences in clinical-therapeutic and social terms. From the clinical-therapeutic point of view, it has emerged that having a PD increases threefold the probability of needing treatment in a therapeutic community and almost four times the probability of requiring access to MHC. This not only underscores the greater need for resources on behalf of these patients but also brings into discussion the motivations behind the treatment of patients in therapeutic communities. It must be pointed out that even though all the patients have a SUD, it is the ones with an Axis II psychic disorder, for whom simple outpatient treatment would not be sufficient, who mostly require treatment in a therapeutic community. Finally, it has been demonstrated how much a PD increases the risk of suicide (OR = 2.3). A total of 22% of patients have attempted to end their lives, and of these, 84% had a PD. The social functioning of these people is greatly compromised. Among the service users without a job, 74% have a PD, and even considering all the confounding variables, employment remains an associated factor (OR = 0.5). A total of 27% of the patients receive disability benefits, and among these, 72% have a PD (P = 0.03, chi-square test). Among those who live alone, with their original family or in assisted accommodation, 69% have a PD (P < 0.001, chi-square test). We can conclude that the ability to work and start a family is influenced by having a PD. Among the variables not influenced by the presence of PDs are the types of substances used in prevalence, as well as treatment with specific medicines, which remain directly linked to the addiction and are not affected by character. Significant differences were not observed with regard to having legal proceedings or having been to prison among the populations with and without PD. This signifies that the incarceration of addicts is a consequence of the addiction itself (possession of illegal substances, deviant behavior such as theft and drug-pushing driven by craving). Among those who had been to prison, 65% did not have an antisocial personality. Access to services helps in the containment of the illness, stems the need to resort to illegal behavior, and reduces the risk of going to prison. The patients currently in treatment with alternative measures to detention are in the majority of cases people unknown to the service before incarceration (including a considerable number of foreigners). The treatment of addiction has been greatly influenced by the push to control the social phenomenon of addiction and by the fear of emergent pathologies such as HIV. Substance addiction has long been interpreted as a moral failing, and as such alternately ignored or repressed. Since the 1980s however, there have been articles available in literature that inquire into the significance of addiction and that define it as a disease. Addiction has been alternately proposed as a PD44 or as an independent pathology classified among the 15 possible mental disorders.45,46 In the last decade, there has been increased interest in the reasons for these clinical symptoms and the psychopathological implications. Attention is slowly moving from the substance and the dysfunctional behavior to the person and his need for care. In this article, it has been shown that 62% of the patients of a public service for pathological addiction are affected by a PD. This Italian datum integrates the data present in international literature and queries the adequacy of our services in facing a clinical situation of this type. It is important that services be prepared to make timely and accurate diagnoses of PDs and are able to implement the treatment procedures that are deemed in international literature to be most effective. Treatment also directed toward the dimension of character could help improve the quality of patients’ lives and their psychosocial functioning, as well as prevent the chronic nature of the disease.
  38 in total

Review 1.  Co-morbidity of personality disorders in individuals with substance use disorders.

Authors:  R Verheul
Journal:  Eur Psychiatry       Date:  2001-08       Impact factor: 5.361

2.  The effect of sampling, diagnostic criteria and assessment procedures on the observed prevalence of DSM-III-R personality disorders among treated alcoholics.

Authors:  R Verheul; C Hartgers; W Van den Brink; M W Koeter
Journal:  J Stud Alcohol       Date:  1998-03

3.  Substance abuse and psychopathology. A diagnostic screening of Italian narcotic addicts.

Authors:  M Clerici; I Carta; C L Cazzullo
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  1989-07       Impact factor: 4.328

4.  The South Oaks Gambling Screen (SOGS): a new instrument for the identification of pathological gamblers.

Authors:  H R Lesieur; S B Blume
Journal:  Am J Psychiatry       Date:  1987-09       Impact factor: 18.112

5.  Axis I and axis II comorbidity in alcohol dependence and the two types of alcoholism.

Authors:  M Driessen; C Veltrup; T Wetterling; U John; H Dilling
Journal:  Alcohol Clin Exp Res       Date:  1998-02       Impact factor: 3.455

Review 6.  Psychodynamic factors in the development of drug dependence.

Authors:  C Treece; E J Khantzian
Journal:  Psychiatr Clin North Am       Date:  1986-09

7.  Gender differences in substance use disorders.

Authors:  K T Brady; D E Grice; L Dustan; C Randall
Journal:  Am J Psychiatry       Date:  1993-11       Impact factor: 18.112

8.  Personality disorders in drug abusers: prevalence and their association with AXIS I disorders as predictors of treatment retention.

Authors:  A Kokkevi; N Stefanis; E Anastasopoulou; C Kostogianni
Journal:  Addict Behav       Date:  1998 Nov-Dec       Impact factor: 3.913

9.  Personality disorders in alcoholics and drug addicts.

Authors:  C A DeJong; W van den Brink; F M Harteveld; E G van der Wielen
Journal:  Compr Psychiatry       Date:  1993 Mar-Apr       Impact factor: 3.735

10.  Outcomes of co-morbid alcoholic men: a 1-year follow-up.

Authors:  B J Powell; E C Penick; E J Nickel; B I Liskow; K D Riesenmy; S L Campion; E F Brown
Journal:  Alcohol Clin Exp Res       Date:  1992-02       Impact factor: 3.455

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5.  Alcohol use patterns and disorders among individuals with personality disorders in the Sao Paulo Metropolitan Area.

Authors:  Carolina Hanna Chaim; Geilson Lima Santana; Paula de Vries Albertin; Camila Magalhães Silveira; Erica Rosanna Siu; Maria Carmen Viana; Wang Yuan Pang; Laura Helena Andrade
Journal:  PLoS One       Date:  2021-03-23       Impact factor: 3.240

6.  High levels of the openness trait are associated with better parental reflective functioning in mothers with substance use disorders.

Authors:  Merete Glenne Øie; Ingebjørg Emilie Aarnes; Lise Horndalsveen Eilertsen; Kerstin Söderström; Eivind Ystrom; Ulrika Håkansson
Journal:  Addict Behav Rep       Date:  2020-11-12

Review 7.  Borderline personality disorder and substance use disorders: an updated review.

Authors:  Timothy J Trull; Lindsey K Freeman; Tayler J Vebares; Alexandria M Choate; Ashley C Helle; Andrea M Wycoff
Journal:  Borderline Personal Disord Emot Dysregul       Date:  2018-09-19
  7 in total

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