Abstract
Purpose of the Review
Substance-induced mood disorders (SIMDs) are an understudied area with a limited published literature. This scoping review evaluated published evidence to determine differences between SIMDs and independent mood disorders with comorbid SUD.
Recent Findings
Following Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines, English language articles were searched through October, 2023. Thirty-one studies were identified which explored the relationship between alcohol, cocaine, opioids, methamphetamine, cannabis, and multiple substance use and the induction of mood disorders. Varying symptoms and risk factors were identified for SIMD, specifically for alcohol and opioids. However, confounding factors and heterogeneity in the majority of studies make it difficult to establish clear differences between these groups.
Summary
Although our findings suggest risk factors and symptoms that may be implicated in SIMD, results are inconsistent. Further research using well-controlled, experimental, and longitudinal designs are needed to parse differences between SIMDs and comorbid mood disorders with SUDs.
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Introduction
Substance-Induced Mood Disorders (SIMDs) are a distinct category of mood disorder in patients that misuse addictive substances [1]. The Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) defines these as “a prominent and persistent disturbance of mood…that is judged to be due to the direct physiological effects of a substance (e.g., an addictive drug, a medication, or somatic treatment for depression, or toxin exposure)” [1]. There have been recent changes to the diagnostic criteria for SIMDs as the DSM-5 (Test Revision, TR) was edited to enhance its clarity and consistency [2]. Changes to the DSM-5-TR include eliminating “mood disorders” in favor of “bipolar and related disorders” grouping and a “depressive disorders” grouping [2]. SIMDs typically present during a period of intoxication from the substance or while experiencing withdrawal from the substance [1]. Clinically, SIMDs do not present as diagnoses of long duration as compared to that of independent mood disorders and the condition typically reverses with acute abstinence from the substance. Independent mood disorders may be diagnosed as a major depressive episode, major depressive disorder (MDD), dysthymic disorder, cyclothymic disorder, (hypo)manic episode, bipolar I disorder or bipolar II disorder, with a concurrent substance use disorder (SUD) [1]. Independent mood disorders can be diagnosed using the DSM-5, which differ from SIMD in the lack of requirement for substance use to be a criterion with a focus on the emotional state of an individual and its interference with their ability to function. SUDs can be diagnosed with the DSM-5 as well using a set of eleven criteria, with disease severity ranging as mild to severe. Two nationally representative large-scale surveys, including the National Epidemiologic Survey on Alcoholism and Related Conditions (NESARC), which surveyed 43,093 people in 2001 and 2002 [3, 4], and the National Comorbidity Survey (NCS) Replication, which surveyed 9,282 people in 2001 and 2003 [5, 6] collected data on the prevalence of mood disorders, SUDs, and their comorbidities. The lifetime prevalence of any bipolar disorder and any SUD is 47.3%, whereas for bipolar I disorder, and any SUD is 60.3%. Additionally, comorbid SUD also presents at high prevalence in major depression with lifetime rates of 40.3% for any alcohol use disorder and 17.2% for any drug use disorder [7]. Other research highlights the lifetime prevalence of substance-induced depressive disorders to be between 0.26% and 1%, in which the top substances involved with the induction of depression are alcohol and opioids [1]. Compared to MDD, in which the lifetime diagnosis is 13.2–16.6%, the rates are vastly different [7]. These numbers are very likely an underestimate. The cerebral cortex and subcortical areas such as the limbic system, thalamus, hypothalamus, and basal forebrain are especially vulnerable to alcoholism-related damage [8]. Alcohol can disrupt brain neurochemistry, including glutamate, gamma-aminobutyric acid (GABA), serotonin (5-HT), endogenous opioid peptide (EOP), and dopamine (DA) neurotransmission [8, 9]. Anhedonia, the inability to feel pleasure, has been linked to dysfunction of the dopamine reward system [10]. Nonetheless, the pathophysiology of SIMDs remains a topic of ongoing discussion [10, 11]. Clinically, treatment response may differentiate between primary mood disorders patients and SIMD as previous meta-analyses have reported a lack of SSRI response in patients with comorbid depression and substance use, possibly contributing to the presence of substance-induced depression as a confounder in the samples [12, 13]. Clinically, treatment for patients with SIMD may vary as results have shown antidepressants may not always improve depression. However, reductions or abstinence from drinking (and other substance use) typically improves depressive symptoms [14]. This scoping review evaluates the current literature published on identifying key characteristics of SIMDs versus independent mood disorders, and how to successfully manage these distinct disorders.
Methods
Search Strategy
Following Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, original, peer-reviewed articles published from database inception to October, 2023 were searched for using PubMed, Google Scholar, ProQuest, Ovid, and PsycINFO [15]. Databases were searched using the following terms: (“cannabis-induced” OR “marijuana-induced” OR “weed-induced” OR “cannabinoid-induced” OR “alcohol-induced” OR “opioid-induced” OR “substance-induced” OR “stimulant-induced” OR “substance-related”) AND (“mood disorder” OR “depression” OR “anxiety” OR “bipolar disorder” OR “major depressive disorder”). Titles and abstracts were screened for relevance by three of the authors (AK, CW and AP), and full-text reviews were conducted for eligibility by AK, CW and AP, where disagreements were resolved through consensus between the three authors or through consultation with the senior author (TPG). Covidence software was used to collate search results.
Studies were included if they were: 1) longitudinal, cross-sectional, experimental, or retrospective; 2) included a sample demonstrating substance use at baseline; 3) utilized a validated or objective measure to establish diagnosis of mood disorder (e.g. DSM-III, DSM-IV, DSM-5); and 4) utilized a validated measure to establish substance use (e.g., self-report, urine screens, previous drug reports, structured interviews). Exclusions were publications that were reviews, meta-analyses, and case studies.
Risk of Bias
The quality of longitudinal and cross-sectional studies was assessed using the Newcastle Ottawa Scale (NOS). The rating system has a 9-point grading scale that measures the following domains: (1) the selection process; (2) comparability of patients based on design; (3) outcome assessment. To ensure only methodologically sound studies were included in this review, we included only publications that received a score ≥ 5.
Results
A total of 1,051 articles were identified from the initial search and a subsequently 999 were excluded based on initial inspection of the titles and abstracts using Covidence software. After title and abstract screening, 52 articles were read in full and assessed for eligibility. 21 articles were excluded, leaving 31 articles included for evaluation (See PRISMA Diagram; Fig. 1).
Study Characteristics
One study was an observational cohort, one a pilot study, one was a randomized controlled trial, fourteen studies employed cross-sectional designs, eight utilized retrospective methods, one applied case–control methods, and four were longitudinal (See Table 1). These included N = 75,158 participants, with sample sizes ranging from 42 to 43,093. Substances studied linked to onset of mood disorders evaluated included opioids, alcohol, cocaine, methamphetamine, cannabis, and polysubstance use.
Opioids-Induced Mood Disorders (n = 5)
Five studies [16,17,18,19,20] evaluated the role of opioids in the onset of mood disorders, with all finding a temporal correlation of opioid use to the induction of major depressive disorder, dysthymia, or anxiety (Table 1). Importantly, three studies used the same data set yet evaluated different outcomes [16, 17, 20]. One study evaluating 500 treatment-seeking opioid-dependent patients found that 274 (54.8%) were diagnosed with substance-induced depression and 105 (21%) of individuals were diagnosed with substance-induced anxiety [16, 17]. All patients involved in the studies reported using opioids for a duration of 1–5 + years, with over 86.4% of the sample reporting a daily use between 1–5 g/day. Mowla and colleagues conducted a retrospective study comparing the symptoms of independent major depressive disorder (MDD) with that of opioid-induced depression (OID) using the Hamilton Depression Rating Scale (17-item) (HDRS-17) and BDI Hopelessness Sub-Scale in a group of male patients [19]. Overall scores on the HAMD-17 were significantly higher for OID patients, including depressed mood, early insomnia, activities, psychomotor retardation, gastrointestinal symptoms and anorexia, genital symptoms, hypochondrias and insight differed significantly, with OID patients having higher scores (all p’s < 0.01) [19]. Although patients included in the study were not using any kind of substance or psychotropic medication in the past six months, all patients included were treatment-seeking.
Cannabis-Induced Mood Disorders (n = 1)
Only one study [21] evaluated cannabis regarding the induction of mood disorders (Table 1). A retrospective study evaluated the results from the Netherlands Mental Health Survey and Incidence Study (NEMESIS), which employed in-person interviews using the Composite International Diagnostic Interview (CIDI) [21]. When adjusting for alcohol and other substance use disorders, lifetime psychotic symptoms, and lifetime anxiety disorders using self-reported cannabis frequencies of 1–3 days a month, 1–4 days a week, and almost every day produced odds ratios (ORs) of 1.38 (CI: 0.70–2.71), 2.57 (CI: 1.33–4.98), and 2.38 (CI: 1.09–5.19), respectively to the subsequent diagnosis of any mood disorder. Additionally, controlling for the same confounders, a non-significant OR of 1.18 (CI: 0.71–1.97) was found for any anxiety disorder at 3-year assessment.
Methamphetamine-Induced Mood Disorders (n = 2)
Two cross-sectional studies [22, 23] investigated methamphetamine-induced mood disorders. One study evaluated 400 methamphetamine-treatment seeking participants, in which 176 were diagnosed with substance-induced depression (SID) [22]. Similar symptoms profiles for SID patients and independent MDD patients were observed; however, SID patients reported lower rates of suicidal ideation and depressive symptom episodes lasting at least 2 weeks. Interestingly, 66/176 (37.5%) had polydrug use, which was not controlled for in the analysis, but results were adjusted for other substances, including cannabis [OR 2.4 (CI: 1.2–4.6, p = NS)] and benzodiazepines [OR 2.0 (CI:1.0–4.0; p = 0.049)] [22]. In another study evaluating 189 methamphetamine-dependent subjects, the prevalence of independent mood, psychotic, and anxiety disorders was determined [23]. Of the participants included, 20/189 (10.6%) were diagnosed with a lifetime methamphetamine-induced mood disorder and 7/189 (3.7%) with a lifetime methamphetamine-induced anxiety disorder, while 61 (32.3%) were diagnosed with an independent mood disorder not caused by substance use [23]. Notably, demographic variables were controlled for, but the use of other substances was not.
Cocaine-Induced Mood Disorder (n = 2)
Two studies evaluated cocaine-induced mood disorders [24, 25]. Vergara-Moragues and colleagues used the Psychiatric Research Interview for Substance and Mental Disorders (PRISM) to determine current and lifetime diagnoses of SIMDs. Thirty-one (13.7%) participants had a current diagnosis of cocaine-induced mood disorder, and 10 (4.4%) participants had a current diagnosis of cocaine-induced anxiety disorder [24]. This was compared to lifetime diagnosis where 49 (21.6%) of SIMD and 12 (5.3%) were diagnosed with a substance-induced anxiety disorder. Although other substances and past psychiatric history were not controlled for, 63.3% of patients had reoccurring SIMD and 83.3% had reoccurring substance-induced anxiety disorder [24]. Interestingly, when trying to identify symptoms that may be attributed to cocaine-induced mood disorders, Zarkowski and colleagues found that in a group of psychiatric emergency services patients, 36 (1.9%) showed excessive tears and were more likely to receive a primary diagnosis of SIMD and were twice as likely to be admitted for inpatient care (P < 0.001) [25]. Although 65% of patients with excessive tearfulness were positive for cocaine in their urinalysis, controlling for other substance use or previous psychiatric history was not performed.
Alcohol-Induced Mood Disorders (n = 4)
The largest study in this area of alcohol-induced mood disorders was a retrospective epidemiologic study completed by Blanco and colleagues, which showed that the lifetime prevalence of SID was 0.26% [26]. Moreover, these patients were more likely to self-medicate using alcohol and less likely to receive medication for depressive symptoms [26]. When examining suicide attempts in patients with alcohol use disorder, SID was diagnosed in 60% of attempters and 35% of controls, whereas independent depression was diagnosed with in 13% of attempters and 3% of controls (suicide attempt risk SID OR: 3.73) [27]. Additionally, alcohol-induced mood disorders typically present as episodic events, not chronically. Individuals with recurring SIMD showed more problematic coping strategies compared to those with a first-time diagnosis [28]. Importantly, a diagnosis of SIMD can transition into independent MDD even when abstinence is achieved [29]. In patients with a previous history of MDD, there is a five-fold increase in the odds of changing diagnoses compared to individuals with no history of MDD (OR: 5.26, P = 0.006) [29]. Furthermore, approximately 12% of individuals with lifetime alcohol use disorder (AUD) have lifetime PTSD [30]; a recent study compared treatment strategies for people with AUD and comorbid posttraumatic stress disorder (PTSD). It was found that treatments targeting only AUD or only PTSD still have salutary effects on both PTSD and drinking outcomes [31]. Another study by Gallagher et al. also confirmed significant improvements in symptoms of anxiety and depression after 28 days of treatment for AUD [32].
Polysubstance-Induced Mood Disorders (n = 14)
Fourteen studies [33,34,35,36,37,38,39,40,41,42,43,44,45,46] evaluated polysubstance-induced mood disorders (Table 2). Given the heterogeneity in these studies, it is difficult to attribute certain substance effects to the diagnosis of a particular SIMD. Mood and anxiety disorders, among other psychiatric diagnoses, are associated with an increased risk of substance use [47]. For individuals using multiple substances, clinical symptomatology may present differently in this group; there is evidence predicting increased relapse to substance use after treatment in these patients [43]. However, it has been shown that homeless individuals seeing a mental health professional is associated with a significant reduction in alcohol and illicit substance use, but not necessarily with lower psychiatric symptom severity [48]. Additionally, individuals presenting with more severe symptoms were likely to use cannabis at least once a week (aOR = 2.28), drink alcohol heavily (aOR = 1.71), and increase use of cannabis (aOR = 3.50) and alcohol (aOR = 2.37) during the study period [45].
Discussion
This review evaluated the use of various substances in the induction of mood disorders versus co-occurring mood disorders and SUDs, with emphasis on differentiating the symptomatology, course and treatment strategies between these groups (see Fig. 2). The published lifetime prevalence of SIMD is low at 0.26–1.0% [1], and probably underestimated. The findings of this review suggest a temporal relationship between the use of substances and the induction of a mood disorder, which may present with highly variable symptoms compared to independent mood disorders. Of the substances evaluated in the included studies, opioids and alcohol have the highest prevalence with respect to SIMDs. Moreover, tobacco was identified in multiple populations but did not significantly contribute to the results of these studies. When quantified, heavy substance use was positively correlated with a diagnosis of SIMD; however, evidence for dose-dependent relationships were limited. Another important trend observed across various substances was the reoccurring diagnosis of SIMD. Patients with a previous diagnosis of SIMD were more likely to have a repeated diagnoses of SIMD compared to patients without SIMD history. Numerous studies evaluated treatment-seeking patients and found that individuals with a SIMD were more likely to seek treatment for their substance use compared to independent mood disorders with co-occurring SUDs. Where studies evaluated suicidal ideation and attempts, individuals with a SIMD had a higher prevalence of suicide attempts compared to independent mood disorders.
Study Strengths and Limitations
While varying symptomatology and potential risk factors were identified in this review, the results need to be interpreted with caution due to certain methodological limitations. Although 29 papers with NOS scores ≥ 5 were included in this review, 14 papers evaluated the use of multiple substances in the induction of mood disorders or a cohort of heterogenous participants in which multiple substances were included. Thus, it is difficult to interpret the results of these polysubstance use studies (Table 1). Moreover, studies evaluating the use of a single substance did not always control for polysubstance use. Finally, sample sizes of studies evaluating single substances were modest. Thus, studies of SIMD across substances require larger sample sizes, controlling for confounding substance use.
Clinical Implications
It is important to acknowledge the studies included identifying individual substances are limited, which may minimize clinical applicability. The results of this review emphasis the need for accessible treatment for problematic substance use to prevent SIMDs, and integrated treatments for both the substance misuse and associated mood disorder (including antidepressant and mood stabilizers). Moreover, clinicians should properly assess patients seeking treatment that present symptoms of a mood disorder, even when no prior history of a mental health disorder is present, with an index of suspicion for co-occurring SUDs. Clinicians should be aware of the impacts that substances may have on mental health outcomes, and should be aware of the differentiation between independent and SIMDs.
Conclusions and Future Directions
Our findings suggest that there may be differential presentations between SIMDs, and independent mood disorders with co-occurring SUDs. Due to the extremely low rates of lifetime SIMDs diagnosed in the general population, it appears that SIMD diagnoses are significantly underestimated. While it is known that mood disorders and SUDs commonly occur together, with negative impacts on illness course, very little research has been done to understand the mechanisms and clinical features of SIMDs versus dual disorders. With increasing recreational use of substances (e.g. cannabis, stimulants, opioids) and decreased perceptions of risk, the need for continued experimental and longitudinal research to clarify the scope and impacts of SIMDs are warranted [49]. Furthermore, high-quality studies are needed to investigate risk factors, symptoms, and effective treatments for SIMDs with stimulant, cannabis, alcohol, opioid and other SUDs, as well as integrated treatments for substance misuse and induced mood disorders.
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Funding
The review was funded by the CAMH Foundation, NIDA grant R21-DA-043949 and a CIHR Project Grant (PJT-190053) to Dr. George.
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The Section Editors for the topical collection Dual Diagnosis are Tony George and Victor Tang. Please note that Section Editor Tony George was not involved in the editorial process of this article as he is a co-author.
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Dr. George reports consulting work with Roche, Frutarom and Sanford Burnham Prebys in the past three years. He serves as Co-Principal Editor of Neuropsychopharmacology (NPP) and as Chair, Scientific Advisory Committee for the Canadian Centre on Substance Use and Addiction (CCSA).
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Kivlichan, A.E., Praecht, A., Wang, C. et al. Substance-Induced Mood Disorders: A Scoping Review. Curr Addict Rep 11, 1–18 (2024). https://doi.org/10.1007/s40429-023-00533-z
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DOI: https://doi.org/10.1007/s40429-023-00533-z