In-person psychiatry services provide a comfortable and private setting for evaluation and care. They may be ideal for those who...
Photo by Antoni Shkraba Studio[/caption]
Addiction doesn't wait for a clean calendar or a quiet life. It digs in when people are at their worst and robs them of the small things that made them feel like themselves. Modern psychiatry can't sidestep it anymore, not if we're serious about treating the whole patient, not just the symptoms that fit neatly on a billing code. The old split between mental health and addiction care keeps falling apart because it doesn't reflect how people actually live—or how they actually suffer.
The Two-Way Street Between Trauma And Substances
It’s rare to meet someone in treatment whose addiction story doesn’t include a chapter on trauma. Whether it’s childhood neglect, violence, or a string of smaller injuries that piled up, trauma sets up the brain to reach for relief wherever it can find it. Substance use offers that relief fast, even if it’s temporary, and the brain learns to chase that escape. But then the substances fuel anxiety, depression, and shame, reinforcing the trauma’s grip.
Psychiatrists often see patients who’ve cycled through medication changes for depression or anxiety, only to realize the alcohol or pills they use at night are keeping them sick. The dopamine system doesn’t distinguish between what’s prescribed and what’s poured into a glass; it just wants more of what makes the pain go quiet. Treating trauma and substance use separately ignores how tightly they’re tied together, and patients know it, even if they can’t always articulate it in a clinical interview.
In recent years, the field of psychiatric care has undergone a revolutionary transformation. This is because of groundbreaking research that has redefined our understanding of mental health and treatment methodologies.
From innovative therapies to advanced diagnostic tools, transformative research has played a pivotal role in reshaping the landscape of psychiatric care.
In this article, we will explore the key contributions that researchers have made in this field. We will also talk about how their work is influencing the way mental health is approached and treated.
Dr. Etkin[/caption]
Amit Etkin, MD, PhD
Department of Psychiatry and Behavioral Sciences
Wu Tsai Neurosciences Institute, Stanford Universitu
Stanford, CA
MedicalResearch.com: What is the mission of Cohen Veterans Bioscience - CVB?
Response: Cohen Veterans Bioscience (CVB) is a non-profit 501(c)(3) research biotech dedicated to fast-tracking the development of diagnostic tests and personalized therapeutics for the millions of Veterans and civilians who suffer the devastating effects of trauma-related and other brain disorders.
MedicalResearch.com: How can patients with PTSD or MDD benefit from this information?
Response: With the discovery of this new brain imaging biomarker, patients who suffer from PTSD or MDD may be guided towards the most effective treatment without waiting months and months to find a treatment that may work for them.
MedicalResearch.com: What is the background for this study?
Response: This study, which was supported with a grant from Cohen Veterans Bioscience, grants from the National Institute of Mental Health (NIMH and other supporters, derives from our work over the past few years which has pointed to the critical importance of understanding how patients with a variety of psychiatric disorders differ biologically. The shortcomings of our current diagnostic system have become very clear over the past 1-2 decades, but the availability of tools for transcending these limitations on the back of objective biological tests has not kept pace with the need for those tools.
In prior work, we have used a variety of methods, including different types of brain imaging, to identify brain signals that underpin key biological differences within and across traditional psychiatric diagnoses. We have also developed specialized AI tools for decoding complex patterns of brain activity in order to understand and quantify biological heterogeneity in individual patients. These developments have then, in turn, converged with the completion of a number of large brain imaging-coupled clinical trials, which have provided a scale of these types of data not previously available in the field.
Dr. Bahji[/caption]
Anees Bahji, MD
PGY5, Department of Psychiatry, Queen’s University
M.Sc. Candidate, Department of Public Health Sciences,
Queen’s University
Kingston, ON, Canada
MedicalResearch.com: What is the background for this study?
Dr. Bahrami[/caption]
Shahram Bahrami, PhD
NORMENT Centre, Institute of Clinical Medicine
Division of Mental Health and Addiction
Oslo University Hospital
Oslo, Norway
MedicalResearch.com: What is the background for this study?
Response: We know that patients with severe mental disorders such as schizophrenia, bipolar disorder and major depression have shorter life span than the rest of the population, largely due to comorbid cardiovascular diseases. The increased risk seems related to lifestyle including diet and physical activity and medicines, while the mechanisms are not fully understood. Different studies have shown increased weight (high body mass index) in many people with mental disorders. Yet very little is known about genetic variants jointly in influencing major psychiatric disorders and body mass index. Thus, we investigated if there are overlapping genetic risk variants between body mass index and the mental disorders schizophrenia, bipolar disorders and major depression. 
Dr. Wen[/caption]
Hefei Wen, PhD
Assistant Professor,
Department of Health Management & Policy
University of Kentucky College of Public Health
MedicalResearch.com: What is the background for this study?
Response: Medicaid is the principal payer of behavioral health services in the U.S. and expected to play an increasing role in financing behavioral health services following Medicaid expansions under the ACA.
Dr. Breithaupt[/caption]
Lauren Breithaupt, PhD
Department of Psychology
George Mason University
Fairfax, Virginia
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Our study provides novel insight into the relationship between the immune system and eating disorders characterized by chronic restriction (e.g., anorexia nervosa) and binge eating and/or purging (e.g., binge eating disorder, bulimia nervosa). These findings also add to the growing body of literature linking the immune systems broadly and mental disorders.
We found that infections in early childhood were associated with an increased risk of anorexia nervosa, bulimia nervosa, and other eating disorders such as binge eating disorder in adolescence. These relationships appear to be both time and dose-dependent, meaning that the onset of eating disorder diagnosis is greatest in the first three months following the infection, and the more infections, the greater the risk. 
Dr. Kuan-Pin Su[/caption]
Kuan-Pin Su, MD, PhD
China Medical University
Taichung, Taiwan
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Delirium, also known as acute confusional state, is a serious disturbance in mental abilities that results in confused thinking and reduced awareness of the environment. Delirium can often be traced to one or more contributing factors, such as a severe or chronic illness, changes in metabolic balance (such as low sodium), medication, infection, surgery, or alcohol or drug intoxication or withdrawal. It’s critically important to identify and treat delirium because some of the contributing factors could be life-threatening. However, there is no sufficient evidence for choice of medication to treat or prevent the symptoms of delirium.
A recent paper, Association of Delirium Response and Safety of Pharmacological Interventions for the Management and Prevention of Delirium A Network Meta-analysis, published in JAMA Psychiatry provides important findings of this missing piece in that important clinical uncertainty. The leading author, Professor Kuan-Pin Su, at the China Medical University in Taichung, Taiwan, concludes the main finding about treatment/prevention of delirium: “In this report, we found that the combination of haloperidol and lorazepam demonstrated the best option for treatment of delirium, while ramelteon for prevention against delirium. 
Dr. Nicole Karcher, PhD
Post-doctoral scholar with the NIMH Training in Clinical Sciences fellowship
Department of Psychiatry
Washington University School of Medicine
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: For over fifteen years, researchers have debated the role that cannabis use plays in the development of both psychotic disorders as well as subthreshold psychotic symptoms, such as psychotic-like experiences (PLEs). There is still a lack of consensus regarding the nature of the association between cannabis use and psychosis risk, with some research finding evidence for genetic overlap, while other research finds evidence for potentially causal pathways.
The current study examined data from twins and siblings from two different samples, the U.S.-based Human Connectome Project and the Australian Twin Registry, with a total of 4,674 participants. Overall, psychotic-like experiences were associated with three separate cannabis use variables [frequent (≥100 times) use, a Cannabis Use Disorder diagnosis, and current cannabis use]. Furthermore, the current research found evidence for both shared genetic and individual-specific contributions to the association between PLEs and these three cannabis use variables. More specifically, while the association between cannabis use and psychotic-like experiences was largely attributable to shared genetic factors, cannabis users were more likely to endorse PLEs in comparison to the relative who used cannabis less. 
Dr. Gerlach[/caption]
Lauren B. Gerlach, D.O.
Clinical Lecturer
Department of Psychiatry
University of Michigan
MedicalResearch.com: What is the background for this study?
Response: In this study we used data from the Supporting Seniors Receiving Treatment and Intervention or SUSTAIN program. The program provides a supplement to a Pennsylvania medication coverage program for low-income older adults. It provides behavioral health and case management services by phone across the state. This included detailed interviews to screen for mental health issues including anxiety, depression, sleep issues, and pain, as well as analysis of prescription records and other clinical data.
Among older adults prescribed a new benzodiazepine prescription by a non-psychiatric provider, we determined how many then went on to long-term use of the medication and what patient and clinical characteristics predicted long-term use over the following year.
Methylphenidate treatment may cause psychotic symptoms in 1.1% to 2.5% of children and adolescents with ADHD. The data are too...
![MedicalResearch.com Interview with: Dr. Theodore Satterthwaite MD Assistant professor in the department of Psychiatry, and Cedric Xia, a MD-PhD candidate Perelman School of Medicine at the University of Pennsylvania MedicalResearch.com: What is the background for this study? What are the main findings? Response: Unlike other branches of modern medicine, psychiatry still solely replies on patient reports and physician observations for clinical decision-making. Without biologically-based tests, the diagnostic categories for mental health do not carve nature at its joint. This is evident in the high levels of co-morbidity across disorders and heterogeneity within disorders. Through this research, we studied a large sample of adolescents who completed MRI-based functional imaging, and used recently-developed machine learning techniques to uncover specific abnormalities that are highly predictive of a wide variety of psychiatric symptoms. Essentially, we tried to find brain patterns that were predictive of different types of psychiatric symptoms. We discovered four such brain-guided dimensions of psychopathology: mood, psychosis, fear, and disruptive behavior. While each of these dimensions exhibits a unique pattern of brain connectivity, a common feature of brain anomaly is shared across the dimensions. Notably, in all linked dimensions, the default mode network and fronto-parietal network, two brain regions that usually become increasingly distinct as the brain matures, were abnormally connected. This loss of normal brain network segregation supports the hypothesis that many psychiatric illnesses may be disorders of brain development. MedicalResearch.com: What should readers take away from your report? Response: This study shows that we can start to use the brain to guide our understanding of psychiatric disorders in a way that’s fundamentally different than grouping symptoms into clinical diagnostic categories. By moving away from clinical labels developed decades ago, we can begin to let the biology speak for itself. Our ultimate hope is that understanding the biology of mental illnesses will allow us to develop better treatments for our patients. MedicalResearch.com: What recommendations do you have for future research as a result of this work? Response: This study demonstrates the importance of incorporating vast amounts of biological data to study mental illness across clinical diagnostic boundaries. Moving forward, we hope to integrate genomic data in order to describe pathways from genes to brain to symptoms, which could ultimately be the basis for novel treatments for mental illness. MedicalResearch.com: Is there anything else you would like to add? Response: Future breakthroughs in brain science to understand mental illness requires large amount of data. While the current study takes advantage of one of the largest samples of youth, the size (n=999) remains dwarfed by the complexity of the brain. The neuroscience community is actively working towards collecting higher quality data in even larger samples, so we can validate and build upon the findings. Citation: Cedric Huchuan Xia, Zongming Ma, Rastko Ciric, Shi Gu, Richard F. Betzel, Antonia N. Kaczkurkin, Monica E. Calkins, Philip A. Cook, Angel García de la Garza, Simon N. Vandekar, Zaixu Cui, Tyler M. Moore, David R. Roalf, Kosha Ruparel, Daniel H. Wolf, Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, Russell T. Shinohara, Danielle S. Bassett, Theodore D. Satterthwaite. Linked dimensions of psychopathology and connectivity in functional brain networks. Nature Communications, 2018; 9 (1) DOI: 10.1038/s41467-018-05317-y [wysija_form id="3"] [last-modified] The information on MedicalResearch.com is provided for educational purposes only, and is in no way intended to diagnose, cure, or treat any medical or other condition. Always seek the advice of your physician or other qualified health and ask your doctor any questions you may have regarding a medical condition. In addition to all other limitations and disclaimers in this agreement, service provider and its third party providers disclaim any liability or loss in connection with the content provided on this website.](https://medicalresearch.com/wp-content/uploads/Cross-clinical-diagnostic-categories.jpg)
![MedicalResearch.com Interview with: Dr. Theodore Satterthwaite MD Assistant professor in the department of Psychiatry, and Cedric Xia, a MD-PhD candidate Perelman School of Medicine at the University of Pennsylvania MedicalResearch.com: What is the background for this study? What are the main findings? Response: Unlike other branches of modern medicine, psychiatry still solely replies on patient reports and physician observations for clinical decision-making. Without biologically-based tests, the diagnostic categories for mental health do not carve nature at its joint. This is evident in the high levels of co-morbidity across disorders and heterogeneity within disorders. Through this research, we studied a large sample of adolescents who completed MRI-based functional imaging, and used recently-developed machine learning techniques to uncover specific abnormalities that are highly predictive of a wide variety of psychiatric symptoms. Essentially, we tried to find brain patterns that were predictive of different types of psychiatric symptoms. We discovered four such brain-guided dimensions of psychopathology: mood, psychosis, fear, and disruptive behavior. While each of these dimensions exhibits a unique pattern of brain connectivity, a common feature of brain anomaly is shared across the dimensions. Notably, in all linked dimensions, the default mode network and fronto-parietal network, two brain regions that usually become increasingly distinct as the brain matures, were abnormally connected. This loss of normal brain network segregation supports the hypothesis that many psychiatric illnesses may be disorders of brain development. MedicalResearch.com: What should readers take away from your report? Response: This study shows that we can start to use the brain to guide our understanding of psychiatric disorders in a way that’s fundamentally different than grouping symptoms into clinical diagnostic categories. By moving away from clinical labels developed decades ago, we can begin to let the biology speak for itself. Our ultimate hope is that understanding the biology of mental illnesses will allow us to develop better treatments for our patients. MedicalResearch.com: What recommendations do you have for future research as a result of this work? Response: This study demonstrates the importance of incorporating vast amounts of biological data to study mental illness across clinical diagnostic boundaries. Moving forward, we hope to integrate genomic data in order to describe pathways from genes to brain to symptoms, which could ultimately be the basis for novel treatments for mental illness. MedicalResearch.com: Is there anything else you would like to add? Response: Future breakthroughs in brain science to understand mental illness requires large amount of data. While the current study takes advantage of one of the largest samples of youth, the size (n=999) remains dwarfed by the complexity of the brain. The neuroscience community is actively working towards collecting higher quality data in even larger samples, so we can validate and build upon the findings. Citation: Cedric Huchuan Xia, Zongming Ma, Rastko Ciric, Shi Gu, Richard F. Betzel, Antonia N. Kaczkurkin, Monica E. Calkins, Philip A. Cook, Angel García de la Garza, Simon N. Vandekar, Zaixu Cui, Tyler M. Moore, David R. Roalf, Kosha Ruparel, Daniel H. Wolf, Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, Russell T. Shinohara, Danielle S. Bassett, Theodore D. Satterthwaite. Linked dimensions of psychopathology and connectivity in functional brain networks. Nature Communications, 2018; 9 (1) DOI: 10.1038/s41467-018-05317-y [wysija_form id="3"] [last-modified] The information on MedicalResearch.com is provided for educational purposes only, and is in no way intended to diagnose, cure, or treat any medical or other condition. Always seek the advice of your physician or other qualified health and ask your doctor any questions you may have regarding a medical condition. In addition to all other limitations and disclaimers in this agreement, service provider and its third party providers disclaim any liability or loss in connection with the content provided on this website.](https://medicalresearch.com/wp-content/uploads/Cross-clinical-diagnostic-categories-200x180.jpg)
Dr. Theodore Satterthwaite MD
Assistant professor in the department of Psychiatry, and
Cedric Xia, a MD-PhD candidate
Perelman School of Medicine at the University of Pennsylvania
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Unlike other branches of modern medicine, psychiatry still solely replies on patient reports and physician observations for clinical decision-making. Without biologically-based tests, the diagnostic categories for mental health do not carve nature at its joint. This is evident in the high levels of co-morbidity across disorders and heterogeneity within disorders.
Through this research, we studied a large sample of adolescents who completed MRI-based functional imaging, and used recently-developed machine learning techniques to uncover specific abnormalities that are highly predictive of a wide variety of psychiatric symptoms. Essentially, we tried to find brain patterns that were predictive of different types of psychiatric symptoms. We discovered four such brain-guided dimensions of psychopathology: mood, psychosis, fear, and disruptive behavior.
While each of these dimensions exhibits a unique pattern of brain connectivity, a common feature of brain anomaly is shared across the dimensions. Notably, in all linked dimensions, the default mode network and fronto-parietal network, two brain regions that usually become increasingly distinct as the brain matures, were abnormally connected. This loss of normal brain network segregation supports the hypothesis that many psychiatric illnesses may be disorders of brain development.
Dr. Bo Cao[/caption]
Bo Cao, Ph.D.
Assistant Professor
Department of Psychiatry
Faculty of Medicine & Dentistry
University of Alberta
Edmonton
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Schizophrenia is a severe psychiatric disorder that comes with delusions, hallucinations, poor motivation, cognitive impairments.
The economic burden of schizophrenia was estimated at $155.7 billion in 2013 alone in the United States. Schizophrenia usually emerges early in life and can potentially become a lifetime burden for some patients. Repeated untreated psychotic episodes may be associated with irreversible alterations of the brain. Thus, it is crucial to identify schizophrenia early and provide effective treatment. However, identifying biomarkers in schizophrenia during the first episode without the confounding effects of treatment has been challenging. Limited progress has been made in leveraging these biomarkers to establish diagnosis and make individualized predictions of future treatment responses to antipsychotics.
In a recent study by Dr. Cao and his colleagues, they successfully identified the first-episode drug-naïve schizophrenia patients (accuracy 78.6%) and predict their responses to antipsychotic treatment (accuracy 82.5%) at an individual level by using a machine learning algorithm and the functional connections of a brain region called the superior temporal cortex. 
Dr. Roffman[/caption]
Joshua L. Roffman, MD
Department of Psychiatry
Mass General Hospital
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Autism, schizophrenia, and other serious mental illness affecting young people are chronic, debilitating, and incurable at present. Recent public health studies have associated prenatal exposure to folic acid, a B-vitamin, with reduced subsequent risk of these illnesses. However, until this point, biological evidence supporting a causal relationship between prenatal folic acid exposure and reduced psychiatric risk has remained elusive.
We leveraged the rollout of government-mandated folic acid fortification of grain products in the U.S. from 1996-98 as a "natural experiment" to determine whether increased prenatal folic acid exposure influenced subsequent brain development. This intervention, implemented to reduce risk of spina bifida and other disabling neural tube defects in infants, rapidly doubled blood folate levels among women of childbearing age in surveillance studies.
Across two large, independent cohorts of youths age 8 to 18 who received MRI scans, we observed increased cortical thickness, and a delay in age-related cortical thinning, in brain regions associated with schizophrenia risk among individuals who were born during or after the fortification rollout, compared to those born just before it. Further, delayed cortical thinning also predicted reduced risk of psychosis spectrum symptoms, a finding that suggests biological plausibility in light of previous work demonstrating early and accelerated cortical thinning among school-aged individuals with autism or psychosis.
Leen Naji, BHSc, MD
Family Medicine Resident
McMaster University
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Cannabis use has consistently been linked to suicide attempt in the general population, but little data exists linking the association between cannabis use and suicide attempt amongst patients with psychiatric disorders. This is important data as we know that patients with psychiatric disorders are both more likely to use cannabis and to attempt suicide. Therefore, our goal was to study the association between cannabis use and suicide attempt amongst patients with psychiatric disorders. Additionally, since we know that women are more likely to suffer from mental health disorders, are more likely to attempt suicide and are more likely to incur the deleterious consequences of drug use at lower doses, we sought to compare the association between cannabis use and suicide attempt in men and women amongst our study population.
We conducted our analysis on a large sample of over 900 adults with psychiatric disorders (465 men, 444 women), of whom 112 men and 158 women had attempted suicide. The average age of our study sample was 40 years.
We found that cannabis use is not associated with an increased risk of suicide in patients with psychiatric disorders, though this association may vary when looking at specific subpopulations and/or amount of cannabis use. For instance, we found that heavier cannabis use is associated with an increased risk of suicide attempt amongst men with psychiatric disorders. Specifically, there was a 3% increased risk of suicide attempt for every day of cannabis use per month in men with psychiatric disorders. We also found that amongst those with psychiatric conditions, women, unemployed individuals and those with a mood disorder were at increased risk of suicide attempt. ![“Man’s best friend helps NC Guardsman with PTSD [Image 1 of 8]” by DVIDSHUB is licensed under CC BY 2.0](https://medicalresearch.com/wp-content/uploads/ptsd.jpg)
, PhD
Professor of Psychiatry
Director, Center for the Treatment and Study of Anxiety
University of Pennsylvania
Philadelphia, Pa 19104
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: As much as 10 to 20 percent of military members deployed to Iraq and Afghanistan following the September 11th attacks suffer from PTSD, which is often chronic and incapacitating. A constant increase in the number of individuals suffering from PTSD as a result of massive natural disasters, terror attacks, and the wars in Iraq and Afghanistan, has prompted an urgent need for effective and efficient evidence-based treatments for PTSD.
Prolong exposure (PE) is a form of cognitive-behavioral therapy that involves exposure to trauma memories and daily life trauma reminders. Previous studies have proven PE is quite effective for treating civilians and veterans with PTSD. In this five-year study, the researchers sought to determine whether PE could have similar success with active-duty military personnel. The researchers examined the benefit of various methods for delivering PE including Massed-PE, (10 therapy sessions administered over two weeks) and Spaced-PE (10 sessions administered over 8 weeks), as well as Present Centered Therapy (PCT), a non-trauma-focused therapy that involves identifying and discussing daily stressors in 10 sessions over eight weeks, and Minimal Contact Control (MCC), which included supportive phone calls from therapists once weekly for four weeks.
Patients who received Massed-PE therapy, delivered over two weeks, saw a greater reduction in PTSD symptoms than those who received MCC. Importantly, Massed-PE therapy was found to be equally effective to Spaced-PE in reducing PTSD symptom severity. The researchers also found that PCT might be an effective treatment option for PTSD in active military personnel although it was less effective than PE in veteran and civilian PTSD sufferers. 
Dr. Foltynie[/caption]
Thomas Foltynie MD PhD
Senior Lecturer and Honorary Consultant Neurologist
Unit of Functional Neurosurgery Institute of Neurology and
National Hospital for Neurology and Neurosurgery
University College London
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Stimulation of the Nucleus Basalis of Meynert can enhance cholinergic innervation of the cortex in animal models and has been previously reported to have beneficial cognitive effects in a single patient with Parkinson’s Disease dementia.
In this double blind crossover trial, six patients with Parkinson’s Disease underwent low frequency stimulation to the NBM bilaterally. While there were no consistent objective improvements in cognitive performance, there was a marked reduction in visual hallucinations in two of the participants. .
Tine Vertommen[/caption]
Tine Vertommen, Criminologist
Faculty of Medicine and Health Sciences
Universiteitsplein 1
Antwerp, Belgium
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: A recent prevalence study into interpersonal violence against child athletes in the Netherlands and Belgium showed that 6% experienced severe sexual violence, 8% experienced severe physical violence, and 9% of respondents experienced severe psychological violence in sport (Vertommen et al., 2016). While general literature has repeatedly shown that exposure to interpersonal violence during childhood is associated with mental health problems in adulthood, this relationship has not yet been demonstrated in (former) athletes. Thus, the objective of the current study is to assess the long-term consequences of these experiences on adult mental health and quality of life.
Dr. Emil Coccaro[/caption]
Emil F. Coccaro, M.D.
Ellen C. Manning Professor
Department of Psychiatry and Behavioral Neuroscience
The University of Chicago
Chicago, Illinois 60637
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Aggressive behavior and drug use have been related for years but this study shows people with problematic aggression (Intermittent Explosive Disorder: IED) are in fact at risk for developing alcohol, tobacco, and cannabis use disorders and that the onset of problematic aggression (IED) begins before the onset of the drug use.
The increased risk for alcohol use disorder was nearly six-fold higher, the increased risk for cannabis use disorder was seven-fold higher, and the increased risk for tobacco use disorder was four-fold higher. In addition, the presence of IED increased the severity of the substance use disorder.
Josephine Mollon[/caption]
MedicalResearch.com Interview with:
Josephine Mollon MSc
Department of Psychosis Studies
Institute of Psychiatry, Psychology, and Neuroscience
King’s College London
London, England
Medical Research: What is the background for this study? What are the main findings?
Dr. Mollon: Psychotic symptoms, such as hallucinations and delusions, are core features of psychotic disorders. A significant minority of the general population also reports subclinical psychotic experiences. Evidence suggests that these experiences may lie on a continuum with clinically significant psychotic symptoms. For example, cognitive deficits, which are a hallmark of psychotic disorders, are also seen in people with subclinical psychotic experiences. We used population-based survey data to characterize cognitive functioning in adults with psychotic experiences while adjusting for important sociodemographic characteristics and investigating the effect of age.
The 171 (9.7%) adults with psychotic experiences showed significant memory and verbal deficits, but not IQ or processing speed deficits. Only participants 50 years and older with psychotic experiences showed medium to large impairments in general IQ, verbal knowledge, working memory and memory after adjusting for socioeconomic status, cannabis use, and common mental disorders.
MedicalResearch.com Interview with:
John Blosnich, Ph.D., M.P.H.,
Post-doctoral fellow at the Center for Health Equity Research and Promotion
Veterans Affairs Pittsburgh Healthcare System.
Medical Research: What are the main findings of the study?
Dr. Blosnich: I think there are two main findings from our study:
First, since the beginning of the All-Volunteer U.S. military in 1973, there has been a shift in childhood experiences among men who have served in the military.
Second, the childhood experiences of women who have served in the military have been largely similar across the Draft and All-Volunteer Eras.
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