Hostname: page-component-745bb68f8f-lrblm Total loading time: 0 Render date: 2025-02-06T08:55:12.578Z Has data issue: false hasContentIssue false

Can the migration process influence the clinical expression of heroin use disorder in migrants to Italy?

Published online by Cambridge University Press:  23 January 2020

Icro Maremmani*
Affiliation:
Association for the Application of Neuroscientific Knowledge to Social Aims (AU-CNS), Pietrasanta, Lucca, Italy G. De Lisio Institute of Behavioural Sciences, Pisa, Italy Vincent P. Dole Dual Disorder Unit, 2nd Psychiatric Unit, Santa Chiara University Hospital, University of Pisa, Pisa, Italy
Manuel G. Carbone
Affiliation:
School of Psychiatry, Department of Experimental and Clinical Medicine, University of Pisa, Pisa, Italy
Claudia Tagliarini
Affiliation:
School of Psychiatry, Department of Experimental and Clinical Medicine, University of Pisa, Pisa, Italy
Marina Ricci
Affiliation:
Drug Addiction Unit, Italian NHS, Region of Latium, ASL Roma 1, Rome, Italy
Anna M. Lupi
Affiliation:
Drug Addiction Unit, Italian NHS, Region of Latium, ASL Roma 1, Rome, Italy
Lucia Sarandrea
Affiliation:
Drug Addiction Unit, Italian NHS, Region of Latium, ASL Roma 1, Rome, Italy
Angela Ceban
Affiliation:
Drug Addiction Unit, Italian NHS, Region of Latium, ASL Roma 1, Rome, Italy
Angelo G.I. Maremmani
Affiliation:
Association for the Application of Neuroscientific Knowledge to Social Aims (AU-CNS), Pietrasanta, Lucca, Italy G. De Lisio Institute of Behavioural Sciences, Pisa, Italy Department of Psychiatry, Tuscany Region National Health System, Viareggio, Lucca, Italy
Pietro Casella
Affiliation:
Drug Addiction Unit, Italian NHS, Region of Latium, ASL Roma 1, Rome, Italy
*
Icro Maremmani, MD, Email: icro.maremmani@med.unipi.it
Rights & Permissions [Opens in a new window]

Abstract

Background

For some time now, there has been a strong consensus that the migration process can influence the onset, course, development, outcome, and clinical aspects of psychiatric pathologies.

Methods

In this study, we have analyzed the influence of the migration process on the clinical expression of heroin use disorder (HUD). In a naturalistic case–control study, we compared, both at univariate and multivariate level, 30 migrant HUD (M-HUD) patients with 30 age/gender-matched Italian HUD (IT-HUD) patients. We also analyzed demographic data, drug addiction history, psychopathological symptoms, addictive behavior, and emotional reactivity to life events.

Results

Compared with IT-HUD pairs, at HUD Agonist Opioid Treatment, M-HUD patients were characterized by inadequate income and the presence of legal problems. They were more frequently at stage 3 of heroin addiction, with a concomitantly less frequent use of stimulants. Their age at the onset of heroin use was greater than that of subjects in the IT-HUD group. HUD post-traumatic stress disorder spectrum was present and was more severe in all M-HUD patients, but grief reactions and maladaptive behavior were the most discriminant traits. No differences were found in terms of addictive behaviors related to heroin craving or with respect to the severity/typology of psychopathology specific to HUD.

Conclusions

The migratory process does not seem to be correlated with addictive behaviors or with psychopathology specific to HUD. It partly affects HUD history, and specifically correlates with emotional reactivity to loss and traumatic life events, so suggesting that in M-HUD individuals, the link between the migratory syndrome and HUD is very close.

Type
Original Research
Copyright
© Cambridge University Press 2020

Introduction

The increase in migration toward Europe as a result of wars, political persecution, endemic poverty, and the hope of a better life has called on Western countries to provide a civil and political response to a problem that has now taken on global dimensions.1 Although it may surprise us today, a settled way of life has been the exception rather than the rule in the history of the human race. Humans have always been a nomadic species, perpetually in motion. Every immigration should be viewed as comprising, and preceded by, emigration. Prior to examining emigrants as people who arrive in a country new to them, an effort should be made to consider adopting a reversed vision of the phenomenon, which begins with their departure from their homeland. To achieve a correct perspective on the migratory phenomenon, two points of view should be simultaneously present: that of the country of origin and that of the country of destination. “The reasons why an immigrant has decided to leave” and “how an immigrant integrates into the social fabric of the host country” are the corresponding themes. Over time, these points of view have almost become opposites, by focusing on who the immigrant is, almost to the point of eliminating the complementary terms of “emigrant” and “immigrant,” in favor of “migrant” alone.Reference Pacini2

People who choose to emigrate more often, in particular, those that typify an act of “solitary migration,” have temperamental traits that correspond to the hyperthymic type, that is, high self-esteem, high levels of energy, enthusiasm, extroversion, but we might also add the traits of being adventurous, resourceful, and reckless. Akiskal et al discovered that such temperamental traits are implicated in the genesis of bipolar disorder (BD). Several studies indicate that such patients do indeed more frequently encounter episodes of a manic/hypomanic type and are therefore to be considered, immediately, as belonging to a “soft” subtype of BD.Reference Kesebir, Vahip, Akdeniz, Yuncu, Alkan and Akiskal3Reference Akiskal, Hantouche and Allilaire7 The interesting element in the migrant history is the recurrence of this concept of the initial phase of hyperadaptation (overcompensation), euphoria and migratory optimism, which may represent nothing more than a euphoric tendency linked to physiological or minor physiological affective syndromes (of bipolar type) in the migrants who are prominent in some populations.

Migration is becoming a process that carries intense levels of stress that can overwhelm human adaptive capacity and trigger mental or physical problems, symptoms, or illnesses.Reference Bustamante, Cerqueira, Leclerc and Brietzke8 Stress and trauma have been robustly associated with risks arising from mental disorders, including but not limited to post-traumatic stress disorder (PTSD), major depressive disorder, psychosis, anxiety disorders, and an increased tendency to somatization (whereby psychological distress is expressed as physical symptoms) and suicide. PTSD is a severe, psychologically disruptive, often chronic condition that is triggered by traumatic life events that lead to symptoms such as persistent re-experiencing of the event, avoidance of feelings, thoughts, adverse alterations in cognition and mood, hyperarousal. In recent years, scientific attention has been focused on the relationships between PTSD and maladaptive, risk-taking behaviors, above all, on the strong connection between PTSD and substance use disorder (SUD).Reference Elbogen, Wagner and Fuller9Reference Brown and Wolfe12

The V.P. Dole Research Group at the University of Pisa, Italy, has studied the possible definition of a specific psychopathological dimension in SUD. In heroin use disorder (HUD) subjects, using factor analysis of the 90 items included in the SCL90 questionnaire, a 5-factor solution had been found. The first factor accounted for a depressive “Worthlessness/Being Trapped” (W/BT) dimension; the second factor picked out a “Somatic Symptoms” (SS) dimension; the third identified a “Sensitivity/Psychoticism” (S/P) dimension; the fourth a “Panic Anxiety” (PA) dimension; and the fifth a “Violence/Suicide” (V/S) dimension.Reference Maremmani, Pani and Pacini13

In our previous research project, we succeeded in defining a psychopathology that would appear to be specific for the SUD and would be stable and independent of many factors and variables, such as the choice of treatment (eg, agonist opioid treatment versus therapeutic community),Reference Pani, Trogu and Vigna-Taglianti14 the “status” of active substance user (detoxified versus nondetoxified patients),Reference Pani, Maremmani and Trogu15 the presence of lifetime psychiatric problems,Reference Pani, Maremmani and Trogu16 the choice of used substances (heroin versus cocaine versus alcohol),Reference Pani, Maremmani and Trogu17 and ethnicity.Reference Maremmani, Lovrecic, Lovrecic and Maremmani18, Reference Carbone, Tagliarini and Ricci19

Aim of the present study is to analyze the migration process influence on clinical expression of HUD comparing at univariate and multivariate level, migrant HUD (M-HUD), and age/gender-matched Italian HUD (IT-HUD) patients, at treatment entry, regarding demographic, anamnestic, psychopathological, behavioral, and stress reactivity data.

Methods

Design of the study

The present study was a naturalistic case–control study, with a single evaluation of M-HUD patients who, after matching for age and gender, were compared with IT-HUD patients. All M-HUD subjects entering treatment were evaluated at the Italian NHS Drug Addiction Treatment Unit “ASL Rome 1,” Italy, by referring to the psychopathological symptomatology of the previous week. As a control group, IT-HUD patients presenting for treatment were selected from the PISADDICTION dataset. In this database, data collected at treatment entry included individual information that were left anonymous after its initial collection for clinical or other research purposes at the PISA-V.P. Dole Dual Disorder Unit, Italy. We did not use specific criteria for the inclusion of patients in this database other than their “wish to be treated” and having said they “wanted to participate” in a future survey. Each patient could reach an independent decision on whether to accept or decline his/her inclusion in the database. The decision to accept or decline did not in any way affect the care the patient received. The patient could withdraw his/her consent at any time without giving any explanation. The data entered in the dataset came from research protocols approved by the ethics committees of the centers participating in the various studies.

Sample

Criteria of inclusion for M-HUD were: (a) presence of HUD according to the fifth edition of the Diagnostic Statistic Manual of Mental Disorders (DSM-5) diagnostic criteria; and (b) absence of pharmacological or somatic treatments. Criteria of exclusion were limited to the impossibility of giving informed consent. Thirty M-HUD patients were included in the study. Twenty-five (83.3%) of these patients were males and five (16.7%) females. Age was 37.90 ± 7.3 years, min 23, max 51. The IT-HUD group was selected from 1055 subjects evaluated at their treatment entry (PISADDICTION dataset). Inclusion criteria comprised a diagnosis of heroin addiction according to various DSM criteria and illness lasting for at least 1 year. For details, see Maremmani et al.Reference Maremmani, Pani and Pacini13 After matching for age and gender, 30 IT-HUD patients were included in the study.

Instruments

Heroin addiction history

Heroin addiction history was recorded by the Drug Addiction History Questionnaire (DAH-Q).Reference Maremmani and Castrogiovanni20 The DAH-Q is a multidimensional questionnaire that comprises the following eight areas: (a) physical health, (b) mental status, (c) social adjustment and environmental factors, (d) typology of used substances, (e) substance use modalities (heroin intake, modality of use, stages of illness, nosography), (f) treatment history, and (g) addiction history (age at first contact, age at onset of continuous use, dependence length, and age at first treatment). The questionnaire comprises 10 presence–absence items: (a) somatic comorbidities, (b) abnormal mental status, (c) unsatisfactory work activity, (d) unsatisfactory household situation, (e) unsatisfactory romantic involvement, (f) unsatisfactory social and leisure time, (g) drug-related legal problems, (h) polysubstance use, (i) previous treatment, and (j) combined treatments. For further details, see Lovrecic et al.Reference Lovrecic, Lovrecic and Rovai21

Psychopathology

To record psychopathological symptoms, we used the Symptomatologic Check List (SCL90). Developed by Derogatis et al,Reference Derogatis, Lipman and Rickels22 the SCL90 is made up of 90 items, each rated on a 5-point scale of distress. It is a self-report clinical rating scale oriented toward the symptomatic behavior of psychiatric outpatients. In the case of SUDs, the 90 items reflect five primary symptom dimensions that are believed to underlie the large majority of symptom behaviors observed in this class of patients. The primary symptom dimensions are W/BT, SS, S/P, PA, and V/S.Reference Maremmani, Pani and Pacini13 These five dimensions have been empirically established and primarily validated on a sample involving over 2500 SUD patients.Reference Pani, Trogu and Vigna-Taglianti14, Reference Pani, Maremmani and Trogu15, Reference Pani, Maremmani and Trogu17, Reference Maremmani, Rovai and Maremmani23 Based on the highest z scores obtained on the five SCL90 dimensions, subjects can be assigned to one of five mutually exclusive groups.

Behavioral covariates of heroin craving

The presence and the severity of addictive behaviors were recorded by utilizing Craving for Heroin (CRAV-HERO), an inventory for assessing the behavioral covariates of craving in HUD patients. Thirteen behaviors were selected. We clustered the 13 behaviors in 6 operating models. (a) Exchange-related addictive behaviors (EXC-BEHAV) that aim to reveal the hierarchical approach applied by a subject to his/her values; (b) time-related addictive behaviors (TIME-BEHAV) that test the subject’s ability to wait and manage the substance, and how much time is taken up thinking about the substance; (c) risk-related addictive behaviors (RISK-BEHAV) that are linked to the theme of risk in which the choice of whether to use a substance directly involves the patient’s health and even life; (d) cue-induced/environmental-related addictive behaviors (CUE/ENV-BEHAV; (e) reward-craving-induced behaviors (REW-BEHAV); and (f) relief-obsessive craving-induced behaviors (REL/OBS-BEHAV). Based on the highest z scores obtained on the five SCL90 dimensions, subjects can be assigned to one of five mutually exclusive groups. For details see Maremmani et al.Reference Maremmani, Rovai and Bacciardi24

Post-traumatic stress disorder spectrum

The severity of emotional responses to life events was documented by the “trauma and loss spectrum” (TALS) questionnaire. The TALS includes 116 items exploring the lifetime experience of a range of loss and/or traumatic events and lifetime symptoms, behaviors, and personal characteristics that might be manifestations and/or risk factors for the development of a stress response syndrome.Reference Dell’Osso, Carmassi and Rucci25, Reference Dell’Osso, Shear and Carmassi26 For details and the use of this questionnaire in HUD patients, see Dell’Osso et al.Reference Dell’Osso, Massimetti and Rugani27

Data analysis

At the univariate level, the t-test and chi-squared were used for the comparison of continuous or categorical variables, respectively (Mann–Whitney and Fisher exact test when appropriate). At multivariate level, the continuous and the categorical variables that were found to be significant in differentiating between groups were used as predictors for a discriminant analysis or logistic regression analysis, respectively, using nationality as the grouping factor.

Results

Demographic and heroin addiction history

Table 1 reports only significant demographic and clinical differences according to nationality.

Table 1. Significant Demographic and Clinical Differences Emerging from the Study of Age- and Gender-Paired HUD Migrant and Italian Patients.

* Z of Mann–Whitney U and Wilcoxon W test.

Abbreviations: CNS, central nervous system; HUD, heroin use disorder patients; IT-HUD, Italian heroin use disorder patients; M-HUD, migrant heroin use disorder patients.

Each letter denotes a subset of categories whose column proportions do not differ significantly from each other at the .05 level.

Regarding demographic data, whether about low (<8 years) education level (48.3% in the total sample), single civil status (68.3%), having welfare benefits (1.7%) and living alone (36.7%), no significant differences were observed. Migrants were less frequently white collars and showed poorer income. By discriminating IT-HUD from M-HUD, stepwise logistic regression showed that the presence of adequate income (OR = 13.92; CI 2.13-90.83; P = .006) can correctly classify our patients at 71.7%; adding low level (<8 years) of education (OR = 9.09; CI 1.94-42.48; P = .005) and white-collar job (OR = 8.80; CI 1.09-70.61; P = .041); the percentage of correct classification can reach 80.0% (chi-squared = 34.12; P = .000).

As to the presence of dual disorders (50.0% in the total sample), M-HUD and IT-HUD did not differ significantly.

Regarding heroin addiction history at treatment entry, the presence of altered mental status (60.0% in the total sample), having an unsatisfactory situation at work (77.6% among those with a job), in the household (51.7% in the total sample), in love relationships (25.0%), during social leisure (28.3%), and the age at their first treatment (3.3%) did not differ significantly between groups. All patients needed a comprehensive bio-psychosocial treatment. More M-HUD participants than IT-HUD ones reported somatic complications and legal problems. More IT-HUD patients than M-HUD ones were poly-users. By discriminating IT-HUD from M-HUD, stepwise logistic regression showed that the presence of legal problems (OR = 0.10; CI 0.02-0.45; P = .003) can correctly classify our patients in 76.7% of all cases; by adding polysubstance use (OR = 9.71; CI 2.08-45.15; P = .004) and somatic complications (OR = 0.14; CI 0.02-0.79; P = .027), the frequency of correct classification can reach 81.7% (chi-squared = 34.12; P = .000).

Regarding heroin use modalities at treatment entry, daily or more frequently than daily heroin intake (85.0% in the total sample), and stable modality of use (48.3%) did not differ between the groups. Every single M-HUD participant presented for treatment during stage 3 of their illness, and with a more frequent history of continuous intake without periodic heroin abstinence. By discriminating IT-HUD from M-HUD, stepwise logistic regression showed that the presence of a stage 3 of the illness (OR = 0.01; CI 0.00-0.11; P = .000) can correctly classify our patients with 85.0% accuracy; when adding periodic heroin abstinence (OR = 26.20; CI 1.07-637.99; P = .045), the correct classification did not further improve (chi-squared = 39.45; P = .000).

Regarding the copresence of other substances, the use of alcohol (43.3% in the total sample), central nervous system (CNS) depressants (36.7%), cannabinoids (81.7), and inhalants (3.3%) did not differ between groups. M-HUD was less prone to lifetime use of CNS stimulants and hallucinogens. By discriminating IT-HUD from M-HUD, stepwise logistic regression showed that the lifetime presence of the use of stimulants (OR = 11.76; CI 2.91-47-45; P = .000) is alone sufficient to discriminate our patients at a frequency of 73.3%.

Regarding longitudinal heroin addiction history, age of continuous heroin use (23.65 ± 5.3 years in the total sample), dependence duration (11.20 ± 6.5 years), timespan between first use and first treatment interval (7.46 ± 5.7 years), and between age of continuous use and first treatment interval (5.46 ± 5.5 years) did not differ between groups. M-HUD patients were older than IT-HUD ones at their first use of heroin and their first treatment, showed a shorter duration of their current treatment and a longer latency between their age of first and continuous use of heroin. Discriminant analysis successfully (Wilks’ lambda = 0.73; chi = 17.81; df = 2; P = .000) indicated older age at first contact with heroin (discriminant function load = −0.63) with lower duration of current treatment (0.88) the most important clinical longitudinal characteristics to discriminate at 70.0% M-HUD (group centroid: −0.59) from IT-HUD (group centroid: 0.59).

Heroin craving-related addictive behaviors

The total score of CRAV-HERO (17.38 ± 13.4 scores in total sample), the severity of EXC-BEHAV (1.27 ± 1.1), TIME-BEHAV (1.23 ± 1.2), RISK-BEHAV (1.00 ± 1.0), CUE/ENV-BEHAV (1.32 ± 0.9), REW-BEHAV (1.32 ± 0.9), and REL/OBS-BEHAV (1.30 ± 0.9) did not differ between groups. Addictive behavior typology too, which, considering all patients, was comprised 15.0% of EXC-BEHAV, 11.7% of TIME-BEHAV, 26.7% of RISK-BEHAV, 1.7% of CUE/ENV-BEHAV, 20.0% of REW-BEHAV, and 25.0% of REL/OBS-BEHAV predominant subjects did not differ (chi = 3.18; P = .671).

Psychopathology specific to HUD

The total score assessed using SCL90 (48.86 ± 10.5 PT scores in the total sample), comprising W/BT (47.69 ± 9.6), SS (48.14 ± 9.4), S/P (50.67 ± 9.7), PA (50.05 ± 8.7), and V/S (50.33 ± 10.4) dimension T scores, did not differ between groups. Psychopathological typology too, which, considering all patients together, consisted of 10.0% of W/BT, 16.7% of SS, 36.7% of S/P, 25.0% of PA, and 11.7% of V/S predominant subjects, did not differ either (chi = 1.53; P = .821).

PTSD spectrum

Table 2 shows the differences between groups concerning emotional reactivity to trauma and loss events. M-HUD patients showed all the severity of their emotional reactivity through the same score measure that differentiated the survivors of the earthquake that hit L’Aquila in 2009 and who subsequently developed a clinical PTSD, from those who did not. As many as 60% of the IT-HUD participants presented this characteristic. M-HUD patients showed all the dimensions of TALS more severely than those in the IT-HUD sample and more frequently considered life events as a loss that was potentially traumatic. They had more severe grief reactions, more frequent reactions to losses or upsetting events, re-experiencing life events with avoidance and numbing, showing maladaptive coping, arousal symptoms, and risk factors. Multivariate analysis indicated high values for grief reaction and maladaptive behavior as the most important PTSD spectrum characteristics, allowing 93.3% discrimination of M-HUD participants from IT-HUD ones.

Table 2. Emotional Reactivity to Trauma and Loss Events in HUD Patients According to Nationality.

Discriminant function statistics: Wilks’ lambda: 0.27; chi: 74.28; DF: 2; P = .000; 93.3% of original grouped cases correctly classified.

Abbreviations: DF, discriminant function; H/PTSD-S, heroin post-traumatic stress disorder spectrum; IT-HUD, Italian heroin use disorder patients; M-HUD, migrant heroin use disorder patients; TALS, trauma and loss spectrum.

Discussion

At treatment entry, M-HUD patients were less frequently white collars and showed poorer income; these two criteria were sufficient to discriminate the great majority of them. They more frequently reported somatic complications and legal problems, but they were less frequently poly-users. Legal problems were the most important characteristic. Every single member of the M-HUD sample presented for treatment during stage 3 of his/her illness, and, with much greater frequency, had a history of continuous intake without periodic heroin abstinence. Being at stage 3 of HUD (called the “revolving door”) was the most important characteristic. M-HUD patients were also less prone to lifetime use of CNS stimulants. Older age at first use of heroin, together with a lower duration of current treatment, were the two most prominent anamnestic characteristics of M-HUD patients. Heroin craving-related addictive behaviors and psychopathology specific to SUD did not differ between the two groups. All M-HUD participants showed the severity of their emotional reactivity through the same score measure that differentiated the survivors of the earthquake that hit L’Aquila in 2009 and who subsequently developed a clinical PTSD, from those who did not. In addition, they were distinguished by high values for grief reaction and maladaptive behavior.

The job activity and the poverty that differentiated M-HUD from IT-HUD is not surprising if we consider that the absence of stable work and poverty is often the primum movens of migrants. An estimated 244 million people worldwide have migrated from their countries of origin, fleeing war or poverty, or pursuing the dream of a better life.Reference Bustamante, Cerqueira, Leclerc and Brietzke8 The search for a radical change in people belonging to a society arises not only from a state of necessity, or from the wish to live a better life. The “movement” occurs when people have less than what they aspire to. Knowing that beyond the world there is a “promised land” can make the thought of remaining in a homeland that does not change, improve, or evolve intolerable. This frustration is a crucial element in the decision to take the big step to emigrate. According to this thesis, those most likely to emigrate to the promised land are not, as it turns out, the poorest and neediest, but the most intolerant—those who present a combination of compelling aspirations and life experiences. Emigration of this type is, therefore elective, rather than obliged or induced by environmental conditions.

Adaptation is to be understood as a dynamic process by which the individual’s thoughts, feelings, behavior, and physiological mechanisms continually change to fit a changing environment. When the adaptive resources of the organism are overwhelmed, a mental disorder can prevail, with specific symptoms and associated behaviors, potentially including severely high-risk behaviors. As constant adaptation to a new environment is required, the migration process is generally assumed to be a significant chronic environmental stressor. A migration project, a prevailing profile made up of temperamental traits and the associated vulnerability to mental illness (affective, depressive) would thus become the optical definition of the same phenomenon. Thus, in bipolar syndromes, there are windows to be “kept closed” for those thinking of emigration (when one is depressed, when one is psychotic, when one is agitated), and windows to be “left open” (when one is euphoric but not excessively so).Reference Ritsner, Modai and Ponizovski28, Reference Ritsner, Ponizovsky and Ginath29

Although migration can be a form of personal development and help to expand an individual’s opportunities for choice and action, on the other hand it exposes the migrant to many strains and risk factors. This is a fragile population with special needs. In addition to the trauma experienced before and during the migratory journey itself, the discriminatory behaviors they experience once they arrive in their destination countries, associated with a general lack of opportunities, can lead to increased vulnerability among these people and facilitate a shift toward mental health issues that may take a variety of different forms.1, Reference Llosa, Ghantous and Souza30, Reference Lester, Tait, England and Tritter31

Despite the fact that there has, for some time, been a strong consensus that the migration process can influence the onset, course, development, outcome, and even the symptomatological expressiveness of psychiatric pathologies, the history of HUD in our M-HUD patients shows strong similarities with that of IT-HUD. In particular, heroin craving-related addictive behaviors and psychopathology specific to SUD did not differ between the two groups.

Our research group considers that the natural history of HUD develops through three stages.Reference Maremmani, Popovic and Maremmani32 The first is the time spent in the “honeymoon” stage characterized by markedly positive feelings of well-being. The next level is distinguished by the intermediate or “dose-increasing” stage. The “revolving door” stage is the third and last stage, in which the subject is totally oriented toward substance seeking by any means. This third stage is when the ordeal of relapsing behavior begins. The “revolving door” situation is a dramatic sequence of being treated, quitting the treatment, falling out, being arrested, being hospitalized, going back to treatment, and so on. Stage 3 of HUD is present without exception in all migrants, and it cannot be excluded that the prospect of access to treatment, which is needed at this stage, is one of the reasons that lead these subjects to move to Italy.Reference Volkow, Poznyak, Saxena and Gerra33 In fact, while in many migrants’ countries of origin, the treatment of heroin addiction is considered from a criminal justice viewpoint and the use of substitution medications (methadone and buprenorphine) is prohibited; in Italy, these treatments are public, free of charge even for non-European citizens who request it, and are implemented according to the recommendations of international agencies.Reference Volkow, Medina-Mora Icaza, Poznyak, Saxena and Gerra34 This hypothesis is reinforced by the fact that migrants are, less frequently, polydrug users (stimulants and hallucinogens) and that for them, therefore, the harmful use of heroin, without periodic heroin abstinence, is the main problem.

What seems to mark out migrants, rather than the history of heroin addiction, seems to be the way migrants adapt to the disease itself. The PTSD spectrum of migrants is vastly more compromised than that of their Italian peers. The relationship between SUD and PTSD is well known.Reference Gerra, Somaini, Zaimovic, Sher and Vilens35 The prevalence of SUD among people with PTSD is estimated to be in a range of 21% to 43%,Reference Jacobsen, Southwick and Kosten36 while the prevalence of PTSD among SUD patients ranges from 26% to 52%Reference Evren, Can, Evren, Saatcioglu and Cakmak37Reference Mills, Lynskey, Teesson, Ross and Darke39 and is three times higher than in the general population.Reference Driessen, Schulte and Luedecke40, Reference Kessler, Berglund, Demler, Jin, Merikangas and Walters41 Although several explanations of PTSD/SUD comorbidity have been proposed,Reference Jacobsen, Southwick and Kosten36 none of them is enough by itself to adequately explain this frequent relationship, suggesting a complex interplay of pathways contributing to PTSD and SUD comorbidity. The “self-medication” hypothesis, in which PTSD came first, was initially postulated by Khantzian.Reference Khantzian42 It states that substances are used to relieve the painful symptoms of PTSD, and, consequently, subjects develop a SUD. The “high-risk” hypothesis suggests that a dangerous lifestyle induced by SUD increases a subject’s exposure to loss and traumatic events, and therefore raises the likelihood of PTSD.Reference Brown and Wolfe12, Reference Jacobsen, Southwick and Kosten36 The “shared vulnerability” hypothesis states that a shared pathway or substrate predisposes PTSD and SUD subjects to develop these two disorders.Reference Haller and Chassin43Reference Yehuda, McFarlane and Shalev45 PTSD could be best understood, in our view, through a dimensional conceptualization viewed alongside the spectra of symptom severity, nature of the stressor and responses to trauma adopting a unified perspective.Reference Moreau and Zisook46 Besides, we think that a HUD/PTSD combination may be the consequence of long exposure to heroin.Reference Maremmani, Maiello and Carbone47 We had previously found positive correlations between the severity of heroin addiction, the dose of opioid medication, and the severity of the PTSD spectrum. In HUD, patients are characterized by the lifetime absence of exposure to actual or threatened death, serious injury, or sexual violence; this kind of PTSD spectrum resulting from the addictive process may display a high degree of severity. We studied the reactivity of the post-traumatic spectrum to loss and traumatic events, in people exposed to catastrophic events (eg, the 2009 L’Aquila earthquake), where the survivors experienced or not a clinical PTSD and we found that 32 was the cut-off dividing these two groups. Then, by investigating a group of long-lasting HUD subjects who had never been exposed to catastrophic incidents, we found that their emotional reactions turned out to be similar to those of PTSD subjects who were themselves earthquake survivors. In other words, HUD patients seem to over-react to stress.Reference Dell’Osso, Massimetti and Rugani27 At the same time, the long-lasting methadone medication normalized responses to stress.Reference Kreek, Khuri and Fahey48, Reference Kreek, Schuster and Kuhar49

In our M-HUD patients, this kind of reaction to stress, called by us the “heroin PTSD spectrum” (H/PTSD-S), could be related to two overlapping situations, the PTSD due to the migration process and the H/PTSD-S itself. In this way, we would have a sort of H/PTSD augmentation and the difference between M-HUD and IT-HUD patients would be higher. In other words, we can postulate a “double damage” hypothesis in M-HUD patients.

To fully understand the PTSD spectrum shown by our sample of M-HUD patients, and the differences in severity and typology of their emotional reactivity to trauma and loss events with respect to that shown by IT-HUD patients, we have to consider the impact of the migratory process together with that of HUD on migrants’ ability to withstand potentially traumatic events. When we talk about reactivity to stressful life events, we must consider that not all subjects respond in the same way if and when they are exposed to identical stressors. Why do some trauma-exposed people develop a variety of psychological or physical concerns, whereas others with similar forms of exposure remain relatively unscathed? What is the explanation for this phenomenon? Resiliency has been suggested to explain this variation in the pathology expressed in trauma-exposed people. Resilience is an interactive phenomenon that is inferred from findings indicating that some individuals have a relatively good outcome despite having experienced severe forms of stress or adversity—their outcome is better than that of other individuals who have been through the same experiences.Reference Rutter50Reference Greenberg52 A dynamic system can withstand or recover from significant challenges that threaten its stability, viability, or development.Reference Sapienza and Masten53 It is unlikely that there exists a single cause of many adverse outcomes to trauma exposure, such as mental illness, substance abuse, the migratory experience itself or high-risk sexual behaviors, among others.

We can consider the HUD as a “first hit.” We previously showed the strength and wide-ranging nature of the relationship between the severity and progression of HUD and the related severity of PTSD spectrum symptomatology in a sample of methadone-treated HUD patients, suggesting a unitary perspective capable of allowing an understanding of these two disorders.Reference Dell’Osso, Rugani, Maremmani, Bertoni, Pani and Maremmani54 The patients who displayed maladaptive behaviors and the re-experiencing of events with symptoms of numbing and arousal were those with the longest-lasting HUD, a finding, which confirms the view that sensitivity to traumas and stressful life events rises progressively throughout addiction history.Reference Gerra, Zaimovic and Giucastro55Reference Sinha58 We demonstrated that heroin addictive behavior could have a similar overall effect to that of a single exposure to an extreme traumatic event such as an earthquake.Reference Smith, Zimmerman and Williams59Reference Ostacoli, Carletto and Borghi65 HUD may be able to induce greater sensitivity and susceptibility to traumatic events, and thus the onset of severe symptoms of PTSD through a chronic dysregulation of the neurobiological systems, including the endogenous opioid system. In this connection, the persistent, stress-induced activation of the dynorphin/K opioid receptor is likely to play a crucial role in the maladaptive and pro-addictive effect of chronic stress, as shown by previous studies.Reference Van’t Veer and Carlezon66Reference Carroll and Carlezon68

It is, therefore, possible that HUD, by affecting the ability to react to potentially traumatic events, exposes subjects to showing a more complex PTSD spectrum. Assuming this as our hypothethical “first hit,” it is logical to think that the migratory process, a highly stressful event in itself, can further complicate the eventual PTSD spectrum. This reasoning is valid in a bilateral way, since the migration process can expose the subject to presenting symptoms of the PTSD spectrum, such as high-risk behaviors including the use of substances, which in predisposed subjects may lead to the development of SUD at full expression.

The Migration Process is the “second hit.” The migration process, as previously mentioned, constitutes a highly stressful factor capable of altering any migrant’s emotional reactivity to trauma and loss events, so weakening his/her resilience. From a historical perspective, migrants are exposed to risks encompassing three groups of traumas and stressors: premigration, peri-migration, and postmigration events. They include lack of essential goods, war, detention and imprisonment, racial persecution, religion persecution, political persecution, physical violence, sexual abuse, exploitation, economic hardship, servitude, extortion, life-threatening exodus conditions, separation from close figures, the journey itself, detention in reception centers, dread of expulsion orders, uncertainty about being granted asylum, the outcome of official applications, social isolation, stigma, racism, and xenophobia.

In many cases, it has to be considered that the clinical presentation and the PTSD spectrum symptoms that may be present in migrants worsen further, after their arrival in the host country. Those who have previously been “hit” by a potentially stressful event have an increased vulnerability, and, if exposed to further stress factors, they are likely to present a more severe PTSD spectrum, which results in cumulative damage. Traumatized migrants are thus not only more fragile as immigrants because their vulnerability factors outweigh their resilience factors, but they are also particularly at risk from psycho-traumatology. Migration acts as a retraumatizing event in three main circumstances: the creation of a de-culturalizing context, social solitude, and exposure to challenging stimuli.Reference Mazzetti69 In this area too, the link between migratory syndrome and SUD is very close, because, for all the reasons listed above, the migration process can either worsen a SUD already present at the time of migration, or exacerbate a previous SUD, and in the end, expose migrants to a greater risk of using substances; in predisposed subjects, that predicament can trigger a SUD.

Therapeutic implications

Could agonist opioid medications reinforce salience? Symptoms of PTSD denote alterations in several neurobiological systems including the opioid system.Reference Bailey, Cordell, Sobin and Neumeister70Reference Sinha, Catapano and O’Malley74 When PTSD patients were compared with controls, significantly lower levels of plasma beta-endorphins were observed in PTSD patients than in the control group, suggesting that a chronic endogenous opioid depletion may play a role in the pathogenesis and perpetuation of PTSD.Reference Hoffman, Burges Watson, Wilson and Montgomery75 Consistently, with these data, one positive therapeutic effect of morphine documented during trauma care was that of lowering the risk of the subsequent development of PTSD after serious injury.Reference Holbrook, Galarneau, Dye, Quinn and Dougherty76 From more recent investigations it has emerged that the dynorphin/κ opioid receptor (κ-OR) might be of particular interest, as it has been implicated in several brain disorders, including SUD, and it seems to play an important role in the expression of stress-induced behaviors.Reference Van’t Veer and Carlezon66, Reference Carroll and Carlezon68, Reference Bruchas, Land and Chavkin77Reference Saladin, Brady, Dansky and Kilpatrick79 Hence, these further studies confirm the possible implication of alterations affecting the opioid system in the etiology of PTSD.Reference Bailey, Cordell, Sobin and Neumeister70, Reference Khozhenko80 In the light of all these considerations, it may be assumed that H/PTSD-S severity could be used as an indicator of the severity of the HUD, with important therapeutic implications, including the use of opioid agonists to restore normal sensitivity to stressful events. In this regard, in our previous study, we demonstrated the usefulness of long-acting opioid medication in the treatment of HUD and in reducing H/PTSD-S spectrum symptoms.Reference Dell’Osso, Rugani, Maremmani, Bertoni, Pani and Maremmani54 Past studies have also documented a normalization of the HPA axis with long-term methadone maintenance therapy.Reference Schluger, Borg, Ho and Kreek81, Reference Kreek, Ragunath, Plevy, Hamer, Schneider and Hartman82 Furthermore, future studies will have to shed greater light on the possible role of an early opioid agonist treatment in enhancing the ability to inhibit the progressive development of post-traumatic stress symptoms in HUD patients. At present, only a few studies have documented the protective effects of administering opioid analgesics at an early stage to subjects exposed to violent traumas.Reference Holbrook, Galarneau, Dye, Quinn and Dougherty76, Reference Bryant, Creamer, O’Donnell, Silove and McFarlane83, Reference Stoddard, Bergdal, Conn and Levin84 In addition, this study, in suggesting a strict correlation between the opioid system and H/PTSD-S symptomatology, further confirms, as already discussed in two publications by our group,Reference Dell’Osso, Rugani, Maremmani, Bertoni, Pani and Maremmani54, Reference Rugani, Maremmani and Rovai85 the importance of including the H/PTSD-S symptomatology as an integral part of the psychopathology of addiction. Our results, when integrated with the literature and with similar data that emerged from our previous studyReference Dell’Osso, Rugani, Maremmani, Bertoni, Pani and Maremmani54 encourage the use of agonist opioid medications for the treatment of PTSD, especially in HUD patients. Lastly, the investigation of PTSD spectrum symptoms could be proposed as an indicator of the chances of recovery for HUD patients during an opioid agonist treatment.

Limitations

The small number of M-HUD patients and the heterogeneity of patients’ countries of origin are the main limitations on this study.

Conclusions

The migrant process does not seem to correlate with addictive behaviors and psychopathology specific to HUD. It partly affects HUD history and correlates specifically with emotional reactivity to loss and traumatic life events, so suggesting that in M-HUD the link between the migratory syndrome and HUD is very close.

This study suggests the possible role of an early opioid agonist treatment in enhancing the ability to inhibit the progressive development of post-traumatic stress symptoms in HUD patients.

Author Contributions

A.G.I.M., P.C., and I.M. revised the literature and conceived the methodology of the study (sample selection, statistical analyses), discussed results, and wrote the preliminary report. M.G.C., C.T., M.R., A.M.L., L.S., and A.C. recruited data. All authors discussed results, revised, and approved the final form of the manuscript.

Disclosures

All authors declared no conflict of interest; Dr. Maremmani reports grants and personal fees from Molteni, grants and personal fees from Indivior, personal fees from Angelini, grants from CT Sanremo, grants from Gilead, grants from Merck, grants from Camurus, personal fees from Lundbeck outside the submitted work.

References

Médecins Sans Frontières. Neglected trauma: asylum seekers in Italy: an analysis of mental health distress and access to healthcare; 2016. https://reliefweb.int/report/italy/neglected-trauma-asylum-seekers-italy-analysis-mental-health-distress-and-access. Accessed May 20, 2019.Google Scholar
Pacini, M. La Sindrome Migratoria. Massa, Italy: Edizioni Clandestine; 2018.Google Scholar
Kesebir, S, Vahip, S, Akdeniz, F, Yuncu, Z, Alkan, M, Akiskal, H. Affective temperaments as measured by TEMPS-A in patients with bipolar I disorder and their first-degree relatives: a controlled study. J Affect Disord. 2005;85(1–2):127133.CrossRefGoogle ScholarPubMed
Koukopoulos, A, Sani, G, Koukopoulos, AE, Albert, MJ, Girardi, P, Tatarelli, R. Endogenous and exogenous cyclicity and temperament in bipolar disorder: review, new data and hypotheses. J Affect Disord. 2006;96(3):165175.CrossRefGoogle ScholarPubMed
Akiskal, HS, Cassano, GB, Musetti, L, Perugi, G, Tundo, A, Mignani, V. Psychopathology, temperament, and past course in primary major depressions. 1. Review of evidence for a bipolar spectrum. Psychopathology. 1989;22(5):268277.CrossRefGoogle ScholarPubMed
Akiskal, HS, Placidi, GF, Maremmani, I, et al. TEMPS-I: delineating the most discriminant traits of the cyclothymic, depressive, hyperthymic and irritable temperaments in a nonpatient population. J Affect Disord. 1998;51(1):719.CrossRefGoogle Scholar
Akiskal, HS, Hantouche, EG, Allilaire, JF. Bipolar II with and without cyclothymic temperament: "dark" and "sunny" expressions of soft bipolarity. J Affect Disord. 2003;73(1–2):4957.CrossRefGoogle ScholarPubMed
Bustamante, LHU, Cerqueira, RO, Leclerc, E, Brietzke, E. Stress, trauma, and posttraumatic stress disorder in migrants: a comprehensive review. Braz J Psychiatry. 2018;40(2):220225.CrossRefGoogle ScholarPubMed
Elbogen, EB, Wagner, HR, Fuller, SR, et al. Correlates of anger and hostility in Iraq and Afghanistan war veterans. Am J Psychiatry. 2010;167(9):10511058.CrossRefGoogle ScholarPubMed
Jakupcak, M, Conybeare, D, Phelps, L, et al. Anger, hostility, and aggression among Iraq and Afghanistan War veterans reporting PTSD and subthreshold PTSD. J Traum Stress. 2007;20(6):945954.CrossRefGoogle ScholarPubMed
Brown, PJ, Stout, RL, Gannon-Rowley, J. Substance use disorder-PTSD comorbidity. Patients’ perceptions of symptom interplay and treatment issues. J Subst Abuse Treat. 1998;15(5):445448.CrossRefGoogle ScholarPubMed
Brown, PJ, Wolfe, J. Substance abuse and post-traumatic stress disorder comorbidity. Drug Alcohol Depend. 1994;35(1):5159.CrossRefGoogle ScholarPubMed
Maremmani, I, Pani, PP, Pacini, M, et al. Subtyping patients with heroin addiction at treatment entry: factors derived from the SCL-90. Ann Gen Psychiatry. 2010;9(1):15.CrossRefGoogle Scholar
Pani, PP, Trogu, E, Vigna-Taglianti, F, et al. Psychopathological symptoms of patients with heroin addiction entering opioid agonist or therapeutic community treatment. Ann Gen Psychiatry. 2014;13(1):35.CrossRefGoogle ScholarPubMed
Pani, PP, Maremmani, AGI, Trogu, E, et al. Psychopathological symptoms in detoxified and non-detoxified heroin-dependent patients entering residential treatment. Heroin Addict Relat Clin Probl. 2015;17(2–3):1724.Google Scholar
Pani, PP, Maremmani, AGI, Trogu, E, et al. Psychic structure of opioid addiction: impact of lifetime psychiatric problems on SCL-90-based psychopathologic dimensions in heroin-dependent patients. Addict Disord Their Treat. 2016;15(1):616.CrossRefGoogle Scholar
Pani, PP, Maremmani, AGI, Trogu, E, et al. Psychopathology of addiction: may a SCL-90 based five dimensions structure be applied irrespectively of the involved drug? Ann Gen Psychiatry. 2016;15:13.CrossRefGoogle ScholarPubMed
Maremmani, AGI, Lovrecic, M, Lovrecic, B, Maremmani, I. Ethnicity and specific psychopathology of addiction. Comparison between Slovenian and Italian heroin use disorder patients. Heroin Addict Relat Clin Probl. 2019;21(4):3539.Google Scholar
Carbone, MG, Tagliarini, C, Ricci, M, et al. Ethnicity and specific psychopathology of addiction. Comparison between migrant and Italian heroin use disorder patients. Heroin Addict Relat Clin Probl. 2019;21(5):6166. http://www.heroinaddictionrelatedclinicalproblems.org/harcp-archives.php.Google Scholar
Maremmani, I, Castrogiovanni, P. Drug Addiction History Questionnaire (DAH-Q)—Heroin Version. Pisa, Italy: University Press; 1989.Google Scholar
Lovrecic, B, Lovrecic, M, Rovai, L, et al. Ethnicity and drug addiction. A comparison between Italian and Slovenian heroin addicts. Heroin Addict Relat Clin Probl. 2012;14(2):518.Google Scholar
Derogatis, LR, Lipman, RS, Rickels, K. The Hopkins Symptom Checklist (HSCL). A self report symptom inventory. Behav Sci. 1974;19:116.CrossRefGoogle ScholarPubMed
Maremmani, AGI, Rovai, L, Maremmani, I. Heroin addicts’ psychopathological subtypes. Correlations with the natural history of illness. Heroin Addict Relat Clin Probl. 2012;14(1):1122.Google Scholar
Maremmani, AGI, Rovai, L, Bacciardi, S, et al. An inventory for assessing the behavioural covariates of craving in heroin substance use disorder. Development, theoretical description, reliability, exploratory factor analysis and preliminary construct validity. Heroin Addict Relat Clin Probl. 2015;17(5):5160.Google Scholar
Dell’Osso, L, Carmassi, C, Rucci, P, et al. A multidimensional spectrum approach to post-traumatic stress disorder: comparison between the Structured Clinical Interview for Trauma and Loss Spectrum (SCI-TALS) and the Self-Report instrument (TALS-SR). Comprehens Psychiatry. 2009;50(5):485490.CrossRefGoogle Scholar
Dell’Osso, L, Shear, MK, Carmassi, C, et al. Validity and reliability of the Structured Clinical Interview for the Trauma and Loss Spectrum (SCI-TALS). Clin Pract Epidemiol Mental Health. 2008;4:2.CrossRefGoogle Scholar
Dell’Osso, L, Massimetti, E, Rugani, F, et al. Life events (loss and traumatic) and emotional responses to them in acute catastrophe survivors and long-lasting heroin use disorder patients never exposed to catastrophic events. Heroin Addict Relat Clin Probl. 2015;17(6):4958.Google Scholar
Ritsner, M, Modai, I, Ponizovski, A. The stress-supportpatterns and psychological distress of immigrants. Stress Health. 2000;16(13):139147.Google Scholar
Ritsner, M, Ponizovsky, A, Ginath, Y. Changing patterns of distress during the adjustment of recent immigrants: a 1-year follow-up study. Acta Psychiatr Scand. 1997;95(6):494499.CrossRefGoogle ScholarPubMed
Llosa, EA, Ghantous, Z, Souza, R, et al. Mental disorders, disability and treatment gap in a protected refugees setting. Br J Psychiatry. 2014;204:208213.CrossRefGoogle Scholar
Lester, H, Tait, L, England, E, Tritter, J. Patient involvement in primary care mental health: a focus group study. Br J Gen Pract. 2006;56:415422.Google ScholarPubMed
Maremmani, I, Popovic, D. Heroin dependence. In: Maremmani, I, ed. The Principles and Practice of Methadone Treatment. Pisa, Italy: Pacini Editore Medicina; 2009.Google Scholar
Volkow, ND, Poznyak, V, Saxena, S, Gerra, G, and the UNODC-WHO Informal International Scientific Network. Drug use disorders: impact of a public health rather than a criminal justice approach. World Psychiatry. 2017;16(2):213214.CrossRefGoogle ScholarPubMed
Volkow, ND, Medina-Mora Icaza, ME, Poznyak, V, Saxena, S, Gerra, G, UNODC-WHO Informal Scientific Network. Addressing the opioid crisis globally. World Psychiatry. 2019;18(2):231232.CrossRefGoogle ScholarPubMed
Gerra, G, Somaini, L, Zaimovic, A, et al. Developmental traumatic experiences, PTSD and substance abuse vulnerability: the neurobiological link. In: Sher, L, Vilens, A, eds. Neurobiology of Post-Traumatic Stress Disorder. Hauppauge, NY: Nova Science Publishers, Inc.; 2010.Google Scholar
Jacobsen, LK, Southwick, SM, Kosten, TR. Substance use disorders in patients with posttraumatic stress disorder: a review of the literature. Am J Psychiatry. 2001;158(8):11841190.CrossRefGoogle ScholarPubMed
Evren, C, Can, S, Evren, B, Saatcioglu, O, Cakmak, D. Lifetime posttraumatic stress disorder in Turkish alcohol-dependent inpatients: relationship with depression, anxiety and erectile dysfunction. Psychiatry Clin Neurosci. 2006;60(1):7784.CrossRefGoogle ScholarPubMed
Dom, G, De Wilde, B, Hulstijn, W, Sabbe, B. Traumatic experiences and posttraumatic stress disorders: differences between treatment-seeking early- and late-onset alcoholic patients. Comprehens Psychiatry. 2007;48(2):178185.CrossRefGoogle ScholarPubMed
Mills, KL, Lynskey, M, Teesson, M, Ross, J, Darke, S. Post-traumatic stress disorder among people with heroin dependence in the Australian treatment outcome study (ATOS): prevalence and correlates. Drug Alcohol Depend. 2005;77(3):243249.CrossRefGoogle ScholarPubMed
Driessen, M, Schulte, S, Luedecke, C, et al. Trauma and PTSD in patients with alcohol, drug, or dual dependence: a multi-center study. Alcohol Clin Exp Res. 2008;32(3):481488.CrossRefGoogle ScholarPubMed
Kessler, RC, Berglund, P, Demler, O, Jin, R, Merikangas, KR, Walters, EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archiv Gen Psychiatry. 2005;62(6):593602.CrossRefGoogle ScholarPubMed
Khantzian, EJ. The self-medication hypothesis of addictive disorders: focus on heroin and cocaine dependence. Am J Psychiatry. 1985;142:12591264.Google ScholarPubMed
Haller, M, Chassin, L. Risk pathways among traumatic stress, posttraumatic stress disorder symptoms, and alcohol and drug problems: a test of four hypotheses. Psychol Addict Behav. 2014;28(3):841851.CrossRefGoogle ScholarPubMed
Breslau, N, Davis, GC, Schultz, LR. Posttraumatic stress disorder and the incidence of nicotine, alcohol, and other drug disorders in persons who have experienced trauma. Archiv Gen Psychiatry. 2003;60(3):289294.CrossRefGoogle ScholarPubMed
Yehuda, R, McFarlane, AC, Shalev, AY. Predicting the development of posttraumatic stress disorder from the acute response to a traumatic event. Biol Psychiatry. 1998;44(12):13051313.CrossRefGoogle ScholarPubMed
Moreau, C, Zisook, S. Rationale for a posttraumatic stress spectrum disorder. Psychiatric Clin N Am. 2002;25(4):775790.CrossRefGoogle ScholarPubMed
Maremmani, AGI, Maiello, M, Carbone, MG, et al. Towards a psychopathology specific to substance use disorder: should emotional responses to life events be included? Compr Psychiatr. 2018;80:132139.CrossRefGoogle Scholar
Kreek, MJ, Khuri, E, Fahey, L, et al. Long-term followup studies of the medical status of adolescent former heroin addicts in chronic methadone maintenance treatment: liver disease and immune status. NIDA Res Monogr. 1986;67:307309.Google ScholarPubMed
Kreek, MJ Long-term pharmacotherapy for opiate (primarily heroin) addiction: opioid agonists. In: Schuster, CR, Kuhar, MJ, eds. Pharmacological Aspects of Drug Dependency. Toward an Integrated Neurobehavioral Approach. New York, NY: Springer; 1996.Google Scholar
Rutter, M. Annual research review: resilience—clinical implications. J Child Psychol Psychiatry Allied Disc. 2013;54(4):474487.CrossRefGoogle Scholar
Bowes, L, Jaffee, SR. Biology, genes, and resilience: toward a multidisciplinary approach. Trauma Violence Abuse. 2013;14(3):195208.CrossRefGoogle ScholarPubMed
Greenberg, MT. Promoting resilience in children and youth: preventive interventions and their interface with neuroscience. Ann N Y Acad Sci. 2006;1094:139150.CrossRefGoogle ScholarPubMed
Sapienza, JK, Masten, AS. Understanding and promoting resilience in children and youth. Curr Opin Psychiatry. 2011;24(4):267273.CrossRefGoogle ScholarPubMed
Dell’Osso, L, Rugani, F, Maremmani, AG, Bertoni, S, Pani, PP, Maremmani, I. Towards a unitary perspective between post-traumatic stress disorder and substance use disorder. Heroin use disorder as case study. Comprehens Psychiatry. 2014;55(5):12441251.CrossRefGoogle ScholarPubMed
Gerra, G, Zaimovic, A, Giucastro, G, et al. Neurotransmitter-hormonal responses to psychological stress in peripubertal subjects: relationship to aggressive behavior. Life Sci. 1998;62(7):617625.CrossRefGoogle ScholarPubMed
Gerra, G, Zaimovic, A, Mascetti, GG, et al. Neuroendocrine responses to experimentally-induced psychological stress in healthy humans. Psychoneuroendocrinology. 2001;26(1):91107.CrossRefGoogle ScholarPubMed
Cottler, LB, Compton, WM IIIrd, Mager, D, Spitznagel, EL, Janca, A. Posttraumatic stress disorder among substance users from the general population. Am J Psychiatry. 1992;149(5):664670.Google ScholarPubMed
Sinha, R. Chronic stress, drug use, and vulnerability to addiction. Ann N Y Acad Sci. 2008;1141:105130.CrossRefGoogle ScholarPubMed
Smith, SK, Zimmerman, S, Williams, CS, et al. Post-traumatic stress symptoms in long-term non-Hodgkin’s lymphoma survivors: does time heal? J Clin Oncol. 2011;29(34):45264533.CrossRefGoogle ScholarPubMed
Smith, SK, Zimmerman, S, Williams, CS, Preisser, JS, Clipp, EC. Post-traumatic stress outcomes in non-Hodgkin’s lymphoma survivors. J Clin Oncol. 2008;26(6):934941.CrossRefGoogle ScholarPubMed
Sherr, L, Nagra, N, Kulubya, G, Catalan, J, Clucas, C, Harding, R. HIV infection associated post-traumatic stress disorder and post-traumatic growth—a systematic review. Psychol Health Med. 2011;16(5):612629.CrossRefGoogle ScholarPubMed
Varela, VS, Ng, A, Mauch, P, Recklitis, CJ. Posttraumatic stress disorder (PTSD) in survivors of Hodgkin’s lymphoma: prevalence of PTSD and partial PTSD compared with sibling controls. Psychooncology. 2013;22(2):434440.Google ScholarPubMed
Goncalves, V, Jayson, G, Tarrier, N. A longitudinal investigation of posttraumatic stress disorder in patients with ovarian cancer. J Psychosom Res. 2011;70(5):422431.CrossRefGoogle ScholarPubMed
Geffen, DB, Blaustein, A, Amir, MC, Cohen, Y. Post-traumatic stress disorder and quality of life in long-term survivors of Hodgkin’s disease and non-Hodgkin’s lymphoma in Israel. Leuk Lymphoma. 2003;44(11):19251929.CrossRefGoogle ScholarPubMed
Ostacoli, L, Carletto, S, Borghi, M, et al. Prevalence and significant determinants of post-traumatic stress disorder in a large sample of patients with multiple sclerosis. J Clin Psychol Med Settings. 2013;20(2):240246.CrossRefGoogle Scholar
Van’t Veer, A, Carlezon, WA Jr. Role of kappa-opioid receptors in stress and anxiety-related behavior. Psychopharmacology. 2013;229(3):435452.CrossRefGoogle ScholarPubMed
Bruchas, MR, Land, BB, Chavkin, C. The dynorphin/kappa opioid system as a modulator of stress-induced and pro-addictive behaviors. Brain Res. 2010;1314:4455.CrossRefGoogle ScholarPubMed
Carroll, FI, Carlezon, WA Jr. Development of kappa opioid receptor antagonists. J Med Chem. 2013;56(6):21782195.CrossRefGoogle ScholarPubMed
Mazzetti, M. Trauma and migration: transactional analytic approach toward refugees and torture victims. Trans Anal J 2008;38:285302. doi:10.1177/036215370803800404.Google Scholar
Bailey, CR, Cordell, E, Sobin, SM, Neumeister, A. Recent progress in understanding the pathophysiology of post-traumatic stress disorder: implications for targeted pharmacological treatment. CNS Drugs. 2013;27(3):221232.CrossRefGoogle ScholarPubMed
Diaz-Marsa, M, Molina, R, Lozano, MC, Carrasco, JL. Biological basis of posttraumatic stress disorder. Actas Esp Psiquiatr. 2000;28(6):379384.Google ScholarPubMed
Graef, FG. Biological basis of posttraumatic stress disorder. Braz J Psychiatry. 2012;25(Suppl. 1):2124.Google Scholar
Sherin, JE, Nemeroff, CB. Post-traumatic stress disorder: the neurobiological impact of psychological trauma. Dialogues Clin Neurosci. 2011;13(3):263278.Google ScholarPubMed
Sinha, R, Catapano, D, O’Malley, S. Stress-induced craving and stress response in cocaine dependent individuals. Psychopharmacology. 1999;142(4):343351.CrossRefGoogle ScholarPubMed
Hoffman, L, Burges Watson, P, Wilson, G, Montgomery, J. Low plasma beta-endorphin in post-traumatic stress disorder. Austr N Z J Psychiatry. 1989;23(2):269273.CrossRefGoogle ScholarPubMed
Holbrook, TL, Galarneau, MR, Dye, JL, Quinn, K, Dougherty, AL. Morphine use after combat injury in Iraq and post-traumatic stress disorder. N Engl J Med. 2010;362(2):110117.CrossRefGoogle ScholarPubMed
Bruchas, MR, Land, BB, Chavkin, C. The dynorphin/kappa opioid system as a modulator of stressinduced and pro-addictive behaviors. Brain Res. 2010;1314:4455.CrossRefGoogle Scholar
Knoll, AT, Carlezon, WA Jr. Dynorphin, stress, and depression. Brain Res. 2010;1314:5673.CrossRefGoogle ScholarPubMed
Saladin, ME, Brady, KT, Dansky, BS, Kilpatrick, DG. Understanding comorbidity between PTSD and substance use disorders: two preliminary investigations. Addict Behav. 1995;20(5):643655.CrossRefGoogle ScholarPubMed
Khozhenko, EV. Neuronal mechanisms underlying main clinical syndromes of post-traumatic stress disorder. Klin Med. 2009;87(4):49.Google ScholarPubMed
Schluger, JH, Borg, L, Ho, A, Kreek, MJ. Altered HPA axis responsivity to metyrapone testing in methadone maintained former heroin addicts with ongoing cocaine addiction. Neuropsychopharmacology. 2001;24:568575.CrossRefGoogle ScholarPubMed
Kreek, MJ, Ragunath, J, Plevy, S, Hamer, D, Schneider, B, Hartman, N. ACTH, cortisol and beta-endorphin response to metyrapone testing during chronic methadone maintenance treatment in humans. Neuropeptides. 1984;5(1–3):277278.CrossRefGoogle ScholarPubMed
Bryant, RA, Creamer, M, O’Donnell, M, Silove, D, McFarlane, AC. A study of the protective function of acute morphine administration on subsequent posttraumatic stress disorder. Biol Psychiatry. 2009;65(5):438440.CrossRefGoogle ScholarPubMed
Stoddard, SL, Bergdal, VK, Conn, PS, Levin, BE. Increases in plasma catecholaùines during naturally elicited defensive behavior in the cat. J Auton Nerv Syst. 1987;19:189197.CrossRefGoogle ScholarPubMed
Rugani, F, Maremmani, AGI, Rovai, L, et al. Life events (loss and traumatic) and emotional responses to them in heroin-dependent patients before and after the dependence age of onset. Heroin Addict Relat Clin Probl. 2011;13(3):1726.Google Scholar
Figure 0

Table 1. Significant Demographic and Clinical Differences Emerging from the Study of Age- and Gender-Paired HUD Migrant and Italian Patients.

Figure 1

Table 2. Emotional Reactivity to Trauma and Loss Events in HUD Patients According to Nationality.