Parallel changes in serum proteins and diffusion tensor imaging in methamphetamine-associated psychosis

Factors Associated with Psychotic and Depressive Symptoms in Methamphetamine Users

Objective: Methamphetamine use has been recognized as a prominent public health issue, which is associated with psychotic and depressive symptoms. This study aimed to assess factors that show a significant relation with psychotic and depressive symptoms in adults who use methamphetamine. Method : We assessed 95 patients who had used methamphetamine within the last month and were admitted to the outpatient treatment clinic. Evaluation of all patients was carried out through face-to-face interviews, and their symptoms were evaluated using different scales. The Scale for the Assessment of Positive Symptoms and the Scale for the Assessment of Negative Symptoms were employed to assess positive and negative symptoms of psychosis, respectively. Depressive symptoms were measured using the Montgomery-Asberg Depression Rating Scale, while illness severity was evaluated using the Clinical Global Impression- Severity Scale. Additionally, functioning status was assessed using the Functioning Assessment Short Test, and withdrawal severity was measured by employing the Amphetamine Cessation Symptom Assessment Scale. Craving severity was evaluated using the Stimulant Craving Questionnaire, anxiety severity using the Hamilton Anxiety Rating Scale, and insight status using the Schedule for Assessment of Insight Expanded. Results: Among the demographic variables, working with family was associated with lower positive symptoms scores (OR = 6.31, P < 0.05). Parole/probation related admissions were associated with lower positive and depressive symptoms scores (OR = 15.06, P = 0.03; OR = 9.87, P = 0.02). Having suicide attempts, number of suicide attempts, and amount of methamphetamine used were found to show association with higher positive (OR = 13.59, P < 0.01; OR = 2.52, P < 0.05; OR = 3.48, P < 0.05, respectively) and depressive symptoms scores (OR = 10.35, P < 0.001; OR = 2.23, P < 0.01; OR = 2.3, P < 0.05). After adjusting for all variables, clinical impression and insight scores remained significantly associated with positive symptoms scores (AOR = 6.74, P < 0.05; AOR = 2.63, P < 0.001, respectively), while anxiety, amphetamine cessation, and positive symptoms scores remained associated with depressive symptoms scores (AOR = 0.48, P < 0.001; AOR = 0.11, P = 0.003; AOR = 0.36, P = 0.02, respectively). Conclusion: This study appears to be the first to examine the associations between clinical variables and both positive symptoms and depressive symptoms in methamphetamine users. Increased attention should be paid to suicide history, anxiety level, amount of methamphetamine use and loss of insight to provide effective treatment in patients with methamphetamine use.

White matter microstructure differences in individuals with dependence on cocaine, methamphetamine, and nicotine: Findings from the ENIGMA-Addiction working group

BACKGROUND

Nicotine and illicit stimulants are very addictive substances. Although associations between grey matter and dependence on stimulants have been frequently reported, white matter correlates have received less attention.

METHODS

Eleven international sites ascribed to the ENIGMA-Addiction consortium contributed data from individuals with dependence on cocaine (n = 147), methamphetamine (n = 132) and nicotine (n = 189), as well as non-dependent controls (n = 333). We compared the fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD) and mean diffusivity (MD) of 20 bilateral tracts. Also, we compared the performance of various machine learning algorithms in deriving brain-based classifications on stimulant dependence.

RESULTS

The cocaine and methamphetamine groups had lower regional FA and higher RD in several association, commissural, and projection white matter tracts. The methamphetamine dependent group additionally showed lower regional AD. The nicotine group had lower FA and higher RD limited to the anterior limb of the internal capsule. The best performing machine learning algorithm was the support vector machine (SVM). The SVM successfully classified individuals with dependence on cocaine (AUC = 0.70, p < 0.001) and methamphetamine (AUC = 0.71, p < 0.001) relative to non-dependent controls. Classifications related to nicotine dependence proved modest (AUC = 0.62, p = 0.014).

CONCLUSIONS

Stimulant dependence was related to FA disturbances within tracts consistent with a role in addiction. The multivariate pattern of white matter differences proved sufficient to identify individuals with stimulant dependence, particularly for cocaine and methamphetamine.

Beyond the tip of the iceberg: A narrative review to identify research gaps on comorbid psychiatric disorders in adolescents with methamphetamine use disorder or chronic methamphetamine use

BACKGROUND

Methamphetamine use disorder (MUD) frequently begins in adolescence, often accompanied by other psychiatric or mental disorders. Up to now, no comprehensive review about MUD and comorbid disorders in adolescents is available. We thus aimed to review the literature on comorbid mental disorders and MUD in adolescents in order to identify future research topics. Method: A PubMed search was conducted in July 2019. Relevant comorbidities were defined as attention-deficit disorder with/without hyperactivity, anxiety disorders, depression, eating disorders, post-traumatic stress disorder, psychosis, borderline personality disorder, conduct disorder and antisocial personality disorder, as well as other substance use disorders. For each comorbidity, we summarized prevalence rates, findings on comorbidity mechanisms, and recommended treatment options, if applicable. Results: Few articles focused on MUD in adolescents. Prevalence rates differed largely between comorbid disorders, with tobacco use disorder, conduct disorder, post-traumatic stress disorder, anxiety disorders, and attention-deficit disorders being the most prevalent comorbidities while eating disorders were rare. Examined onset patterns and comorbidity mechanisms indicated three groups of comorbidities: preexisting disorders self-medicated with methamphetamine, disorders induced by chronic methamphetamine use, and disorders arising due to risk factors shared with MUD. Reviewed comorbidities were frequently associated with worse treatment outcomes. Conclusions: The limited evidence is in stark contrast to the presumably high prevalence and relevance of comorbid mental disorders in adolescents with MUD. Suggestions for future research topics, informed by adult findings, include genetic vulnerabilities, biological changes, and consequences of different use patterns. Surprisingly few MUD treatment programs explicitly integrate comorbid mental disorder modules.

Serum proteomic profiling of patients with amphetamine use disorder

BACKGROUND

Amphetamine use disorder has been recently classified as an epidemic condition. Amphetamine use/abuse has been associated with several neurological and inflammatory effects. However, the exact mechanism involved in these effects warrants further investigation. The aim of this study was to determine any alterations in the serum proteome of individuals classified as patients with amphetamine use disorder compared to that of control subjects.

METHODS

An untargeted proteomic approach employing two-dimensional difference in gel electrophoresis coupled with mass spectrometry was used to identify the patterns of differentially expressed proteins. Serum samples were collected from 20 individuals (males) including 10 subjects with amphetamine use disorder and 10 healthy controls for the present study.

RESULTS

The analysis revealed 78 proteins with a significant difference in protein abundance between the amphetamine-addicted subjects and controls. Among them, 71 proteins were upregulated while 7 proteins remained downregulated in the amphetamine-addicted group. These proteins were further analyzed by ingenuity pathway analysis (IPA) to investigate their correlation with other biomarkers. IPA revealed the correlation of altered proteins with mitogen-activated protein kinase (MAP2K1/K2), p38MAPK, protein kinase-B (PKB; Akt), extracellular signal-regulated kinase (ERK1/2), and nuclear factor-κB signaling pathways. Importantly, these pathways are highly involved in neurological diseases, inflammatory responses, and cellular compromise.

CONCLUSIONS

Our data suggest that the changes in the levels of serum proteins between amphetamine and control groups might affect cellular compromise, inflammatory response, and neurological diseases.

Methamphetamine-associated psychosis: links to drug use characteristics and similarity to primary psychosis

Objectives: Despite the prevalence of methamphetamine-associated psychosis, how characteristics of drug use affect the severity and clinical course, and its optimal treatments have not been established. We addressed these questions, assessing clinical features of methamphetamine-associated psychosis, and compared it with primary psychosis.Methods: Hospitalised patients with methamphetamine-associated (n = 70) or primary schizophrenic psychosis (n = 70) were matched on sex, age and duration of psychosis. Association of drug use variables (age at initiation, duration of methamphetamine use) with the Brief Psychiatric Rating Scale (BPRS) scores and psychosis duration were examined for patients with methamphetamine-associated psychosis, and the groups were compared on the BPRS scores.Results: Methamphetamine use initiation age correlated negatively with the BPRS total score and the Activation subscale score; methamphetamine use duration correlated positively with psychosis duration. Methamphetamine-associated psychosis group scored lower on the Hostility-Suspiciousness and Anergia subscales of the BPRS (adjusted p values < .05).Conclusions: Association of early initiation of methamphetamine with psychosis severity may suggest a lasting effect on brain development. Correlation of drug use and psychosis durations may suggest a cumulative effect of methamphetamine exposure. Less severe paranoia and negative symptoms in the methamphetamine-using group could implicate better social functioning of these patients. Further mechanistic studies are warranted.Key pointsEarly initiation of methamphetamine use is associated with psychosis severity.Methamphetamine use duration associates with psychosis duration.Methamphetamine-associated and primary schizophrenic psychoses were similar in symptoms.Methamphetamine psychosis patients were less severe in paranoia and negative symptoms.

Structural, functional, and neurochemical neuroimaging of methamphetamine-associated psychosis: A systematic review

Methamphetamine is a highly addictive psychostimulant. A subset of methamphetamine users develops methamphetamine-associated psychosis (MAP), which causes poorer prognoses and cognitive function than those with no psychosis (MNP). Comprehensive and integrative summaries of studies utilizing various neuroimaging modalities (structural, functional, and neurochemical) are limited. We conducted a systematic review of literature regarding clinical neuroimaging research published between January 1988 and July 2018 using the PubMed, Web of Science, Scopus, and ScienceDirect databases. Studies comparing the neuroimaging of patients with MAP with healthy controls or patients with MNP or schizophrenia were included to understand the distinct profiles associated with MAP. A total of six structural, three functional, and three neurochemical studies were reviewed. A general trend was identified that showed MAP-related brain alterations were mainly in the frontal lobe (especially the orbitofrontal cortex), striatum, and limbic systems (amygdala and hippocampus). Furthermore, some clinical manifestations, such as the severity of psychotic symptoms and cognitive performance, were correlated with neuroimaging abnormalities. In summary, distinct structural, functional, and neurochemical changes, especially in the frontostriatal circuit and network dynamic systems, play critical roles in the pathophysiology of MAP. Future studies using longitudinal study designs and including individuals with MNP and schizophrenia as controls are warranted.

Methamphetamine-associated psychosis: Clinical presentation, biological basis, and treatment options

INTRODUCTION

Methamphetamine associated psychosis (MAP) represents a mental disorder induced by chronic methamphetamine use in a subset of users. The prevalence of the disorder has increased in several countries in Europe and Asia where methamphetamine use has increased. MAP remains difficult to distinguish from primary psychiatric disorders, especially schizophrenia, creating complications in prescribing treatment plans to patients.

DESIGN

This narrative review sought to summarize difficulties related to MAP diagnosis and highlight the need for a better treatment model. Current best practices are described and potential novel therapies and future research suggested.

RESULTS

Results suggest that clear biological and clinical differences appear between patients presenting with MAP and schizophrenia and that there may exist distinct subgroups within MAP itself. MAP-specific treatment studies have been few and have focused on the use of antipsychotic medication. Antipsychotic treatment has been shown to alleviate the psychotic symptoms of MAP but produce debilitating adverse effects and fail to adequately address methamphetamine use in patients.

CONCLUSIONS

Continued identification of subgroups within the heterogenous MAP population may lead to better diagnosis, treatment, and outcomes for patients. Psychosocial therapies should be explored in addressing the cooccurring substance use and psychosis in the treatment of MAP.