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. 2025 May 6;16:1574574. doi: 10.3389/fphar.2025.1574574

Advances in the prevalence and treatment of depression for adolescents: a review

Chunyu Yin 1,*, Mengting Xu 2, Zhiyuan Zong 3
PMCID: PMC12096414  PMID: 40406494

Abstract

Background

Depression is a psychological condition in adolescents caused by various factors. Many serious consequences can be associated with depression, such as irritability, emotional instability, and suicide. Meanwhile, the incidence of depression and suicide among adolescents was also affected during the pandemic of COVID-19 in 2019. This phenomenon of adolescent depression should be drawn extensive concern by the community, which affects their physical and mental health.

Main body

This review describes the epidemiology, high-risk factors, and treatment of adolescent depression. The onset of depression is probably attributable to preterm birth, growth environment, genetic. We also identify that the COVID-19 pandemic, initiated in late 2019,affects adolescent mental health. Antidepressants and psychotherapy are conventional treatments for depressive disorders. However, it is controversial whether antidepressants are as effective and safer as psychotherapy, and a combination of the two could provide more benefit to this population than antidepressants alone. We also summarize some antidepressants developed for novel targets. Improving the efficacy and safety of treatment to reduce the suicide rate among adolescents is the primary goal of clinical research. Existing treatment modalities and drugs are not sufficient to achieve clinical demands, so that new therapeutic targets will be promising for such patients.

Conclusion

A variety of factors can contribute to depression in adolescents. Adolescent depression should be mainly treated with non-pharmacological. A combination of guideline-recommended antidepressants should be used if uncontrolled with non-pharmacological, but adverse drug reactions and suicidal ideation should be closely monitored.

Keywords: adolescent depression, COVID-19, antidepressants, risk factors, psychotherapy

Graphical Abstract

graphic file with name FPHAR_fphar-2025-1574574_wc_abs.jpg

Overview Framework Diagram.

1 Introduction

Depression is an emotional disorder with high incidence, high disability rate and high mortality rate, which seriously endangers human mental health. Nowadays, with the great changes in the social environment, the incidence of depression is gradually becoming younger. Globally, one in seven children aged 10–19 experiences a mental disorder, accounting for 13% of the global disease burden in this age group. Depression, anxiety, and behavior disorders are significant causes of illness and disability among adolescents. There was a global increase in the prevalence and incidence associated with adolescent depression between 1990 and 2019. In terms of regional trends, age-standardized rates of prevalence and incidence increased in high-income regions like North America and Australasia, whereas they generally declined in low- and middle-income regions (Yang et al., 2024). A meta-analysis that collected prevalence data on depression or depressive symptoms among children and adolescents aged <18 years included 96 studies published between 1989 and 2022. The pooled prevalence rates for mild to severe depression, moderate to severe depression, and severe depression were 21.3%, 18.9%, and 3.7%, respectively. It is approximately one in five children and adolescents globally experience depression or depressive symptoms, and this proportion is increasing over time (Lu et al., 2024). The consequences of failing to address adolescent mental health can extend into adulthood, which can impair physical and mental health and limit opportunities to lead a fulfilling life in adulthood. A 2012–2015 epidemiological survey showed an increase in depression and suicide rates, especially among female adolescents (Lu et al., 2021). In this age group, depression is associated with a variety of socio-demographic, gene, premature, and early inflammation (Mridha et al., 2021). This review summarizes the epidemiology, risk factors, and current clinical medications for depression in adolescents.

Adolescence is a vital period for physical and mental development, and depression during this time can have more profound long-term impacts. It may result in disrupted education, weakened social skills, and even affect career prospects and quality of life in adulthood. During the pandemic, changes in learning methods (e.g., online learning), social isolation, and uncertainties about the future have made adolescents more susceptible to psychological stress. Compared with the elderly, intervention strategies for adolescent depression can be more effectively carried out through schools and communities. Additionally, adolescents are often found in concentrated settings like schools, which makes large-scale surveys and psychological assessments more feasible, allowing for the collection of more comprehensive and accurate data. Thus, it is very necessary to focus on the adolescent group to reduce the incidence of depression.

Corona Virus Disease 2019 (COVID-19), which is the more serious virus, was subsequent global epidemic since 2019 have seen a siginificantly upward trend in the incidence of adolescent depression in many countries, including China. Research on the effects of the COVID-19 pandemic on adolescent depression indicates that the pandemic has significantly affected adolescent depression, with prevalence and incidence rates in 2020 and 2021 far surpassing predictions. The COVID-19 pandemic has notably increased the burden of depression and worsened health inequalities (Zhu et al., 2025). Simultaneous, the incidence of anxiety disorders jumped from 720.26 per 100,000 in the pre-pandemic period (2018–2019) to 880.87 per 100,000 during the pandemic (2020–2021). Likewise, the incidence of major depressive disorder (MDD) climbed from 2,333.91 per 100,000 to 3,030.49 per 100,000. This trend was more evident in high-income countries (HICs). Environmental factors such as increased social anxiety, school closures, economic instability, and racial tensions have negatively impacted adolescent mental health (Kim S. et al., 2024). Additionally, A global survey indicated that COVID-19 impact indicators, especially the daily SARS-CoV-2 infection rate and reduced human activity, were associated with an increase in the prevalence of major depressive disorder among adolescents (Zhou et al., 2025).The pandemic has not only intensified existing risk factors for depression but has also created new ones, such as prolonged periods of social isolation and increased exposure to family stress and economic hardship (Du et al., 2025).

A variety of nonpharmacologic, pharmacologic, and combination treatment options are available for adolescent depression, and many interventions have insufficient clinical evidence and are more controversial in terms of efficacy and side effects (Viswanathan et al., 2020). Different levels of depression may require different interventions. For some treatment-resistant or severe depression, antidepressants are required. A study from 2007 to 2017 showed a dramatic increase in the proportion of antidepressant users, especially among 15–19-year-old (Wesselhoeft et al., 2020). However, since possible side effects of antidepressants, such as venlafaxine, may increase the risk of suicide-related behaviors, psychotherapy is widely used in this population, albeit with limited efficacy. At the same time, there are a wide variety of antidepressants and clinical abuse, so their efficacy and safety should be clarified (Evans and Sullivan, 2014). Another unfortunate critical aspect is that current treatments are inadequate to fulfill clinical needs. In the context of increasing morbidity yearly, we urgently seek more effective interventions to deal with clinical stress.

Therefore, this study aims to illustrate how the COVID-19 pandemic has affected adolescent mental health and its link to adolescent depression. The outbreak and control measures of COVID-19 have significantly disrupted the daily lives, education, and social interactions of children and adolescents, subsequently affecting their mental wellbeing. Understanding these impacts can help devise proactive strategies for future public health emergencies to safeguard the mental health of young people. Furthermore, integrating insights from prior studies and guidelines, along with the main causes and effective treatments for adolescent depression, we have outlined the latest treatment objectives and directions to provide a reference for future therapeutic strategies.

2 Risk factors for depression in adolescents

2.1 Gene

Previous research indicates that genes like sirtuin1(SIRT1), 5-hydroxytryptamine (5-HT), Brain-derived neurotrophic factor (BDNF), Catechol-O-methyltransferase (COMT), oxytocin receptor(OXTR), nuclear receptor subfamily three group C member 2(NR3C2), solute Carrier Family 6 Member 4(SLC6A4), and FKBP Prolyl Isomerase 5(FKBP5) are associated with depression.

2.1.1 Sirtuin1 (SIRT1)

In 2014, Flint, Kendler, and a collaborative team completed a DNA sequence analysis of 5,303 Han Chinese women with major depression, along with 5,337 control sequences. The analysis identified two depression-associated mutation sites on chromosome 10, one mutation located near Sirtuin1(SIRT1) and another in the intron of the phosphorlysine phosphohistidine inorganic pyrophosphate phosphatase (LHPP) gene, encoding a protease whose function is currently incompletely understood. SIRT1 gene is an important protease in mitochondria (Converge, 2015). SIRT1 regulates neuronal transmission-related genes in D1-MSNs, affecting electrophysiological, morphological, and behavioral endpoints. It suggests that it may influence synaptic transmission gene expression in brain reward regions linked to anxiety and depression-like behaviors (Kim H. D. et al., 2024). A study on major depressive disorder risk shows that LHPP gene deletion in the brain or local knockout in mouse prefrontal cortex increases depression-like behaviors under chronic social defeat stress (Lin et al., 2023).

2.1.2 5-Hydroxytryptamine (5-HT)

The 5-HT system is one of the most extensively studied neurotransmitter systems to date. Downregulation of 5-HT in the human brain plays a critical role in the pathogenesis of affective psychiatric disorders. Notably, compared to adult depression, behavioral and social emotional problems are more prominently manifested in adolescent depressive disorders. 5-HT downregulation is crucial in the development of affective disorders and is a key factor in adolescent depression. In a study of Mexican adolescents, the S allele and S/S genotype of the 5-HTT gene-linked polymorphic region(5-HTTLPR) polymorphism were associated with depression and a history of suicide attempts (Sarmiento-Hernández et al., 2019). In Chinese adolescents, rare variants in the 5-HTTLPR gene may increase the risk of major depressive disorder with suicidal ideation (Liu et al., 2020). Considering gene-environment interactions, childhood abuse and 5-HTTLPR gene polymorphisms interact in adolescent depression development, with 5-HTTLPR moderating the link between childhood abuse and adolescent depression (Rocha et al., 2015).

2.1.3 Brain-derived neurotrophic factor (BDNF)

BDNF is a critical regulator of early neuronal development and survival. BDNF plays a pivotal role in neurodevelopment, synaptogenesis, and synaptic plasticity. Val66Met (rs6265) represents a well-characterized single-nucleotide polymorphism (SNP) in the BDNF gene. Emerging evidence indicates that the Met allele exhibits stronger associations with amygdala-cortical connectivity patterns linked to depression, particularly in adolescent females (Wheeler et al., 2018). The Val allele appears to influence the development of early-adolescent depressive disorders, with Val/Val and Val/Met genotypes being predominant in female adolescents diagnosed with depressive disorders (Hilt et al., 2007).

2.1.4 Catechol-O-methyltransferase (COMT)

COMT is a dopamine-degrading enzyme that plays a crucial role in the metabolism of dopamine, norepinephrine, and epinephrine in the prefrontal cortex (PFC). The interaction between COMT genotypes and life events has been noted. Among 4-5-year-old children with the Val/Val genotype, those who have experienced severe life events are more likely to exhibit aggressive behavior, which indicates the significance of gene-environment interactions in psychiatric-related behaviors (Hygen et al., 2015). Additionally, adolescents with at least one Met allele genotype are more susceptible to the influence of early-life adversity and tend to display symptoms of hyperactivity and impulsivity (Abraham et al., 2020).

2.1.5 Oxytocin receptor(OXTR)

The oxytocin system is involved in social behavior, emotional regulation, and stress response. Polymorphisms in the OXTR gene have been linked to adolescent depression, mainly through their effects on social stress sensitivity and emotional regulation.Thompson et al. found that the interaction between the OXTR rs2254298 polymorphism and maternal history of depression could significantly increase depressive and anxiety symptoms in adolescent girls. Specifically, girls carrying the AG genotype showed higher levels of depression in high - family adversity environments (van Roekel et al., 2013). Another study by van Roekel et al. using the experience - sampling method reported that the A allele of OXTR rs53576 was significantly associated with the feeling of loneliness in adolescent girls, especially in negative social situations. These findings suggest that OXTR polymorphisms may increase the vulnerability of adolescents to depression through their impact on social and emotional processes (Thompson et al., 2011).

2.1.6 Nuclear receptor subfamily 3 group C member 2(NR3C2)

The NR3C2 gene encodes the mineralocorticoid receptor, which is involved in the regulation of the body’s stress response.Vinkers et al. reported that NR3C2 haplotypes showed sex-dependent moderation of depression susceptibility following childhood maltreatment. The CA haplotype of NR3C2 had different effects on males and females. In females, CA carriers had a lower risk of depression in the context of childhood abuse, while in males, CA carriers had a higher risk. This indicates that the NR3C2 gene may interact with early - life stress to influence the development of adolescent depression in a sex - specific manner (Vinkers et al., 2015).

2.1.7 Solute carrier family 6 member 4(SLC6A4) and FKBP Prolyl Isomerase 5(FKBP5)

In addition, other studies have shown that the SLC6A4 (Serotonin Transporter Gene) and FKBP5 (FK506-Binding Protein 5 Gene) are also associated with adolescent depression.The SLC6A4 gene encodes the serotonin transporter, which plays a key role in the regulation of serotonin levels in the brain. Serotonin is an important neurotransmitter involved in mood regulation. Liu et al. reported that rare variants in SLC6A4 were associated with major depressive disorder with suicidal ideation in Han Chinese adolescents and young adults[17]. The FKBP5 gene is involved in the regulation of the hypothalamic-pituitary-adrenal (HPA) axis, which is a major stress - response system in the body.Polymorphisms rs1360780 and rs3800373 in the FKBP5 gene were associated with suicidal events in adolescents with treatment-resistant depression (Brent et al., 2010).

Previous sections have highlighted that gene-environment interactions collectively influence adolescent mental health. Apparently, gene-environment interactions play an important role in regulating the risk of depression. Functional 43bp insertion/deletion polymorphism in the promoter region of the 5-HT transporter gene, which was shown to interact with stressful events, particularly child abuse, contributing to the diagnosis of depression and predicting suicidal ideation (Caspi et al., 2003). Gene-environment interactions are a causative mechanism involved in promoting the onset of depression by influencing the patient’s susceptibility to the environment (Uher, 2014). Currently, several environmental factors have been identified to promote depression susceptibility, including intrauterine infections, nutritional deficiencies, maternal depression, perinatal complications, social disadvantage, minority status, child abuse, bullying, traumatic events, and marijuana use. These factors, especially those stressful experiences that happen early in lifespan have a significant influence on the development of the brain (Heim and Binder, 2012), (Booij et al., 2014).

2.1.8 Childbirth

The impact of delivery time and birth weight on long-term physical and mental health risks warrants further investigation. With advances in healthcare, the mortality rate of preterm infants has decreased significantly compared with the past. Preterm infants are babies born before 37 weeks. Meanwhile, prematurity and low birth weight (PT/LBW) are the two major contributors to neurocognitive deficits and developmental delays in children. As early as 2004, a prospective cohort study of 2032 adolescents found that the prevalence of depression among PT/LBW patients had 11-fold higher compared with regular participants (95% CI 2–62). The cumulative rate of depression over 30 months was 15.2% (95% CI 11.1–20.5) in PT/LBW compared with 1.8% (95% CI 1.6–2.1) in those standard deliveries (Patton et al., 2004). A meta-analysis was performed to investigate the proportion of PT/LBW patients aged 10–25 years diagnosed with depression and anxiety disorders. A total of five studies met the inclusion criteria, and patients with PT/LBW had a higher risk of developing anxiety and depressive symptoms compared with controls [3.66, 95% CI: 2.57–5.21; or 2.86, 95% CI: 1.73–4.73] (Burnett et al., 2011).

On the other hand, recent studies have showed that different modes of delivery can impact the mental symptoms of adolescents. A population-based registry study in Finland included 22,181 children and adolescents with anxiety disorders and 74,726 controls. The study considered mode of delivery, Apgar score, umbilical artery pH, and neonatal monitoring as exposure variables for anxiety disorders and specific anxiety disorders. Both unplanned and planned cesarean sections were associated with an increased likelihood of anxiety disorders in children and adolescents. Planned cesarean sections and the need for neonatal monitoring increased the odds for specific phobia (Ståhlberg et al., 2022). In a national cohort study, participants diagnosed with bipolar disorder (BPD) between the ages of 13 and 34 were followed to examine the relationship between neonatal characteristics and pregnancy complications and the risk of BPD in offspring. The findings revealed that very preterm birth/extremely preterm birth (22–31 weeks) was associated with higher hazard ratios (HRs) for BPD. Cesarean section, compared with vaginal delivery, was associated with a 1.2-fold and 1.6-fold increased risk of BPD, respectively (Beer et al., 2023).

2.2 Inflammation and immune disorders

Depression may be associated with early inflammatory response, with studies showing a decreased synaptic density and increased inflammation in the anterior cingulate cortex (ACC) in the brains of depressed patients. Because early inflammation may cause an increased susceptibility of microglia in the ACC to random stressful events during pubertal development (Zheng et al., 2021). One study included 11,786 children with infections and used infection severity (“low” = 0–4 infections, “moderate” = 5–6, “high” = 7-9, or “very high” = 10–22 infections) as an additional analysis of exposure. A common early childhood infection was found to be associated with depressive symptoms in mid-adolescence and subsequent psychotic experiences in childhood but not in early adulthood (Chaplin et al., 2020).

Depression is associated with increased levels of pro-inflammatory cytokines such as IL-6 and TNF-α. These cytokines can induce indoleamine 2,3-dioxygenase (IDO) activation, leading to the diversion of tryptophan metabolism from 5-HT synthesis to the production of neurotoxic kynurenine, thereby contributing to the development and exacerbation of depression (Bernardoni et al., 2024). Microglia, the immune cells of the central nervous system, play a crucial role in maintaining neural homeostasis. However, excessive activation of microglia can result in the overproduction of inflammatory factors, excessive synaptic pruning, and increased cell migration, which may trigger and accelerate neuronal damage in various neurological disorders, including depression. Studies have shown that the transcription factor MEF2C can restrain microglial overactivation by inhibiting CDK2 activation, thus protecting against neuroinflammation and associated neurological disorders (Hu et al., 2025).

The relationship between gut microbiota and depression has been a hot topic in recent research. Studies have shown that gut microbiota dysbiosis is closely related to the onset and progression of depression. This article systematically reviews the recent research on the ‘microbiota-gut-brain axis’ (MGBA), exploring the role and mechanisms of gut microbiota in preclinical and clinical studies. Additionally, it discusses the potential of modulating gut microbiota as a promising therapeutic approach for depression and suggests future research directions, aiming to provide a theoretical basis for research and clinical management of depression (Zhang et al., 2025). The mechanisms by which gut microbiota can impact the pathophysiology of depression are multifaceted. They include influencing tryptophan metabolism, modulating the hypothalamic-pituitary-adrenal (HPA) axis, and affecting brain-derived neurotrophic factor (BDNF). The gut microbiota plays a key role in determining the fate and activity of tryptophan, which is a crucial factor in mental health management. When the metabolism of tryptophan is activated along the kynurenine pathway, it can lead to an increase in the production of neurotoxic quinolinic acid, which may have adverse effects on mental health (Clerici et al., 2025).

2.3 Neuroendocrine system abnormalities

Neurotransmitter imbalance is a significant factor in the pathophysiology of depression. Studies have shown that three neurotransmitters,5-HT, dopamine (DA), and noradrenalin (NE) have a significant impact on the brain circuits involved in motivation, emotion regulation, cognitive performance, and psychological stress responses of MDD. The monoamine hypothesis posits that 5-HT deficiency is one of the recognized mechanisms associated with the development of depression. Additionally, glutamic acid (GLU) and γ-aminobutyric acid (GABA) serve as excitatory and inhibitory neurotransmitters in the GABA transmission system respectively. The abnormal GABA pathway caused by the metabolic imbalance between both may also participate in the initiation of MDD (Zhao et al., 2024).

Hormonal dysregulation, particularly in the hypothalamic-pituitary-adrenal (HPA) axis, is also linked to depression. Blunted neuroendocrine stress responses have been found in youth with MDD across different neuroendocrine systems and in both females and males with MDD. This suggests that the HPA axis may be dysregulated in individuals with depression, leading to maladaptation to stress stimulation (Bernhard et al., 2025).

2.4 Psychological trauma

Psychological stress is a significant factor contributing to adolescent depression. Studies have shown that adolescents experiencing high levels of academic stress are more likely to develop depressive symptoms. This stress can stem from heavy academic loads, strained peer and teacher-student relationships, and high parental expectations, all of which can negatively impact adolescents’ mental health and future outlook on life.The interplay between anxiety and depressive symptoms is also closely linked to psychological stress. Adolescents with depression often exhibit heightened levels of anxiety, which can exacerbate depressive symptoms. Research indicates that hope levels and coping strategies mediate the relationship between anxiety and depressive symptoms, with hope levels playing a more significant role than coping strategies. This suggests that fostering a sense of hope and promoting positive coping mechanisms can help alleviate depressive symptoms in adolescents.Moreover, psychological stress can affect adolescents’ emotional clarity and overall outlook on life. A nurturing and supportive environment, both at school and at home, can significantly enhance adolescents’ sense of hope and coping abilities, while a lack of emotional support can lead to increased psychological stress and depressive symptoms (Lin et al., 2024).

2.5 Socioeconomic status (SES)

SES has a significant impact on adolescent depression. Families with lower SES often face financial strain, limited access to quality education and healthcare, and higher levels of stress, all of which can contribute to the development of depressive symptoms in adolescents. Additionally, adolescents from lower SES backgrounds may experience more exposure to adverse life events and neighborhood violence, further exacerbating their risk for depression. The relationship between SES and adolescent depression is also influenced by the quality of schools and educational resources. Schools in low-SES areas often have fewer resources, less qualified teachers, and higher student-teacher ratios, which can negatively affect students’ academic performance and mental health. Moreover, the stress associated with academic underachievement can lead to feelings of hopelessness and depression among adolescents (Fortenberry, 2003).

In HICs, adolescents faced substantial social, academic, and familial stressors during the pandemic, including challenges in adapting to online education, social isolation, and increased financial strain within families. These factors exacerbated mental health issues, despite the availability of robust healthcare systems and mental health services.In contrast, low- and middle-income countries experienced even greater challenges due to limited healthcare resources and pre-existing health inequities. School closures, social isolation, and heightened economic pressures created additional barriers for adolescents seeking mental health support. Moreover, cultural stigma surrounding mental health in many low-income countries often discouraged adolescents from seeking help, further hindering diagnosis and treatment (Zhu et al., 2025).

The pandemic has highlighted global disparities in healthcare resource distribution, particularly in low- and middle-income countries where COVID-19 intensified pre-existing health inequalities. While high-income countries faced significant challenges, they had greater capacity for implementing mental health interventions, education, and resource allocation. However, low-income countries faced substantial deficits in these areas, leaving their adolescent populations more vulnerable to the pandemic’s adverse effects.

2.6 COVID-19 pandemic

COVID-19 makes a huge impact on adolescents and their families around the world (Fegert et al., 2020; Loades et al., 2020). According to a scientific brief published by the World Health Organization (WHO) in 2022, there has been a dramatic 25% increase in the incidence of anxiety and depression [(World Health Organiztionb)]. The presentation provides a comprehensive evaluation of the impact of COVID-19 on mental health and mental health services, revealing that the epidemic is affecting the mental health of young people, who are at increased risk for suicide and self-harm. The COVID-19 epidemic is also influencing mental health, suicide rates, and mental health emergency department rates (Meade, 2021; Czeisler et al., 2020; Manzar et al., 2021). COVID-19 has impacted mental health for several reasons. The most important reasons may be lockdown and school closures, limited opportunities for physical activity, social gatherings and interaction with peers, uncertainty regarding the consequences of COVID infection, closed or limited outpatient services, reluctance to consult and fear of being infected in the early stages of the pandemic (Michaud et al., 2022). Long-term psychological consequences of COVID-19 were also observed in specific populations. A multinational study found that individuals with COVID-19 had a significantly higher risk of developing depression, anxiety disorders, and sleep disorders within the first 6 months post-infection. While these risks decreased over time, elevated rates of depression and anxiety persisted in some countries during the medium- and long-term follow-up periods. Furthermore, the pandemic-related psychosocial stressors, such as social isolation and financial insecurity, contributed to the overall mental health burden (Chai et al., 2025).

A study reviewed visit rates between January to October on 2019 and 2020 and discovered that from 2019 to 2020, the rate of such visits increased by 24% for children aged five to 11 (from 783 visits per 100,000 to 972 visits per 100,000), while the rate of mental health-related visits among aged 12 to 17 increased by 31%. These increases likely reflect the increased distress of adolescents due to pandemic-related stress (Leeb et al., 2020). One systematic review across 16 studies from 2019 to 2021 showed (n = 40,076) that globally, adolescents from diverse backgrounds experienced more anxiety, depression, and stress as a result of the COVID-19 pandemic (Jones et al., 2021). Another Chinese cross-sectional survey including 4,342 adolescents found that anxiety, depression, and stress were prevalent among adolescents experiencing family isolation and school closure. High school students are more seriously affected by the epidemic, and the efficiency of taking online classes is significantly reduced. Due to the high academic pressure, they are at greater risk of depression and anxiety (Tang et al., 2021).

Adults are the dominant population affected by COVID-19. The pediatric population is less affected by COVID-19. Most published reports from different countries indicate that pediatric patients account for less than 2% of reported cases. However, due to the large number of infections globally, this 2% is also a large population. According to the WHO report, approximately 10%–20% of people who recover from the initial illness experience various long-term effects, with depression and anxiety being one of the more visible sequelae of COVID-19 [(World Health Organiztionc)].

There is an urgent need for effective treatments to treat the various depressive symptoms caused by COVID-19. To this end, multiple clinical trials for depression in adolescents affected by COVID-19 are planned or conducted. Tables 1, 2 list the clinical trials and studies for adolescent depression since the outbreak of COVID-19. Several studies have shown that anxiety and depression are more prevalent during the COVID-19 pandemic, especially among Chinese adolescents. The investigation found that girls were more likely to be anxious and depressed. However, the rise was not limited to depression; suicide rates also had increased during COVID-19, particularly among girls (Patton et al., 2004; Burnett et al., 2011; Ståhlberg et al., 2022; Beer et al., 2023; Zheng et al., 2021; Chaplin et al., 2020; Bernardoni et al., 2024).

TABLE 1.

Clinical trials on adolescents depression under the COVID-19.

Identifier Study title Interventional Population Study objective
NCT04524598 A CBT-based Mobile Intervention as First-Line Treatment for Adolescent Depression During COVID-19 CBT-based intervention vs psycho-education Depressed teenagers aged 13–21(227) Assessing digital therapy based on CBT versus psycho-education for clinical effectiveness and safety
NCT04634903 Testing Scalable, Single-Session Interventions for Adolescent Depression in the Context of COVID-19 ST-SSI vs BA-SSI vs GM-SSI Depressed teenagers aged 13–16(2452) Testing the advantages of each SSI relative to the control group
NCT04780152 TDCS in Pediatric and Teenage Patients with Major Depressive Disorder During COVID-19 Pandemic Transcranial Direct Current Stimulatio + Fluoxetine vs Placebo-simulation + Fluoxetine Major depressed teenagers aged 10–17(172) Evaluating the safety and efficacy of nodal transcranial direct current stimulation in children and adolescents with the major depressive disorder during the COVID-19 pandemic
NCT04406558 Psychological Impact of the Health Measures Generated by the COVID-19 in Adolescents An online questionnaire on the experience of the period of confinement and deconfinement will be sent to the cohort of adolescents followed at the CHI Creteil for a chronic disease or not Teenagers aged 11–18 with Psychological disorders (400) To examine the impact of COVID-19 on adolescent mental health
NCT04548544 A Randomized Controlled Feasibility Study of Emotional Wellbeing of Adolescents Undergoing a Mindfulness Training During COVID-19 Training for Awareness, Resilience, and Action Teenagers aged 14–18(21) Testing the feasibility of TARA in improving the emotional health of adolescents aged 14–18 years during pandemic COVID-19

Abbreviations: SSI, each single-session intervention; ST-SSI, Supportive Therapy SSI; BA-SSI, Behavioral Activation SSI; GM-SSI, Growth Mindset SSI; CBT, cognitive behavioral therapy; TARA, training for awareness resilience and action.

TABLE 2.

Research on adolescents depression under the COVID-19.

Author Country (collection dates) Population Research Typology Primary findings
Stephanie L Mayne et al., (2021) United States (2019.06–12, 2020.06–12) Youth 12–21 years old Cross-sectional analysis During the pandemic, outpatient depression screening in primary care clinics decreased from 77.6% to 75.8%. The confirmed depression in adolescents increased from 5.0% to 6.2%
Chen et al., (2022) China (2019.12–2021.05) Chinese adolescents(N = 41729) Meta-Analysis Depressive symptoms were widespread among Chinese adolescents during COVID-19, especially among senior students
Cai et al., (2022) China (2020.08–2021.03) COVID-19 high school students Network analysis Sadness, irritability, and excessive worry are common emotions, and guilt and suicidal ideation may turn anxiety into depression
Hawes et al., (2021) United States (2020.03–2020.05) Adolescents and young adults (N = 451) Longitudinal studies In the early years of the COVID-19 pandemic in the United States, depression and anxiety symptoms increased in adolescents, especially females
Chen et al., (2021) China (2020.02–2020.04) Adolescents (N = 9554,N = 3886) Comparison of two cross-sectional studies Depression and anxiety have increased significantly in Chinese adolescents after the first outbreak. Gender and entering a higher school are positively associated with depression
Magson et al., (2021) Australia Adolescents (N = 278) Longitudinal studies Significant increase in depressive symptoms and decreased life satisfaction among adolescents, particularly among girls
Shoshani and Kor, (2020) Israeli (2020.05–2020.07) Adolescents(N = 1537) Cross-sectional analysis Depression and panic symptoms increased significantly during the pandemic. With increased time spent on electronic games, the internet and TV, positive emotions and satisfaction with life decreasing

3 Guidelines for treating teenage depression

Numerous antidepressant drugs and treatment modalities are developing, and some of the available interventions can be learned from previous studies. According to the latest guidelines [(Cheung et al., 2018), (National Institute for Health and Care Excellence)], there are three main types of treatment for depression in adolescents: (1) Antidepressant treatment; (2) Psychotherapy interventions; (3) Nonspecific psychosocial interventions in pediatric PC (integrated behavioral health and collaborative care models), which can improve the symptoms of depression in adolescents. Guidelines are targeted for adolescents and include the following key recommendations (For a detailed description, see Table 3):

  • (1) Active Monitoring: For adolescents with mild depression, active monitoring is suggested as an initial approach. This involves regular follow-ups to assess symptom changes and functional status.

  • (2) Evidence-Based Treatment: For moderate to severe depression, the guidelines recommend using evidence-based medications and psychotherapeutic approaches. This includes selecting appropriate antidepressants and psychotherapies based on the severity of symptoms and individual patient needs.

  • (3) Side Effect Monitoring: Close monitoring of potential side effects of medications is essential. This involves regular assessments to ensure the safety and wellbeing of the adolescent during treatment.

  • (4) Consultation and Co-Management: Primary care clinicians are encouraged to consult with and co-manage care alongside mental health specialists, especially in complex cases or when treatment response is suboptimal.

  • (5) Outcome Tracking: Ongoing tracking of treatment outcomes is necessary to evaluate the effectiveness of interventions and make necessary adjustments to the treatment plan.

  • (6) Addressing Partial or No Improvement: Specific steps are outlined for situations where adolescents show partial or no improvement after initial treatment. This includes re-evaluating the diagnosis, considering alternative treatments, and adjusting the management plan accordingly.

TABLE 3.

Guideline-recommended treatment and management of depression in adolescents.

NICE Guideline: Depression in adolescents and young people (Zhang et al., 2025)
Severity 5–11-year-olds 12–18-year-olds
Mild Recommendations for interventions effective of 12–18 year olds are available for 5–11 Digital CBT or group therapy (CBT, NDST or IPT)
Moderate and Severe Recommend therapies with established evidence of efficacy, such as family therapy, family-based IPT and psychodynamic psychotherapy) and CBT Individual CBT, IPT-A and family therapy
Guidelines for Adolescent Depression in Primary Care: Clinical Management[38]
Severity Initial treatment If improved If persistent/not improved
Mild Active treatment and follow-up over 6–8 weeks (once/twice week) a 1. Medication continued for 1 year after complete remission of symptoms
2. To continue monitoring over 24–120 weeks for periodic follow-up, regardless of referral to a mental health professional
3. If continuing with this treatment, keep in contact with a mental health specialist
Reference moderate depression
Moderate Consulting a psychologist and developing a management plan a ,(Lu et al., 2024)
1. Initiating treatment with evidence-based antidepressants and/or psychotherapy in primary care a
2. Monitoring symptoms and adverse events(World Health Organiztiona)
3. Continue mental health counselling ideally
Partially Improved
1. Add antidepressants if not already using on; increase dose to maximum if already using on; add counselling treatment if not already on it
2.Offer further treatment and keep monitoring a
Improved
Refer to mild depression
1. Re-evaluation of the diagnosis
2. Add antidepressants if not already using on; increase dose to maximum if already using on; add counselling treatment if not already on it
3. Offer further treatment and keep monitoring a
Severe Refer to moderate depression Refer to moderate depression Refer to moderate depression
a

Psycho-education, supportive counselling and periodic monitoring for depressive symptoms and suicidal tendencies.2. Negotiate roles and/or responsibilities between PC, and mental health and designate case coordination responsibilities. Continue to monitor in PC, after referral and maintain contact with mental health.3. Clinicians need to monitor closely for changes in symptoms and the occurrence of adverse events, like increased suicidal ideation, agitation or mania.

Abbreviations: CBT, cognitive-behavioural therapy; IPT, interpersonal psychotherapy; IPT A, IPT, for adolescents; NDST, non-directive supportive therapy.

3.1 Antidepressant treatment

The variable efficacy of antidepressants poses challenges, particularly for patients with treatment-resistant depression (TRD) in clinical. Conventional antidepressants usually have slow onset of action, which takes several weeks to months, can lead to early discontinuation due to lack of confidence in the effectiveness of treatment. Simultaneous, antidepressants are not the preferred treatment modality for adolescents due to their controversial efficacy and tolerability. The antidepressants for adolescents can be divided into four major categories: Selective Serotonin Reuptake Inhibitors (SSRIs), Serotonin Norepinephrine Reuptake Inhibitors (SNRIs), tricyclics and others. Table 4 lists the categories of antidepressants, concluding the effectiveness based on depression scores compared to placebo and recommendations from various studies in adolescents.

TABLE 4.

List of antidepressant efficacy and risks.

Category (Change as Tracy, 2022) Drug MD (95% CI,VS placebo) Recommendations
SSRIs Citalopram (Celexa) −2.90 [-8.23; 2.43] (Base on CDRS-R) [(Hetrick et al., 2021)] FDA approves fluoxetine and escitalopram for the treatment of depression in adolescents[(Selph and McDonagh, 2019)]
SSRIs not recommended as the treatment of choice for mild to moderate depression in adolescents. Consider SSRIs when there is no response for psychological intervention[(Loades et al., 2020),48]
Escitalopram (Lexapro) −2.62 [-5.29; 0.04] (Base on CDRS-R)[63]
Fluoxetine (Prozac, Prozac Weekly, Selfemra, Sarafem) −2.84 [-4.12;-1.56] (Base on CDRS-R)[63]
Fluvoxamine (Faverin, Luvox, Luvox CR) 22.5 ± 5.31(Base on BDI score)[(Apter et al., 1994)]
Paroxetine (Paxil, Paxil CR, Pexeva) −1.43 [-3.90; 1.04] (Base on CDRS-R)[63]
Sertraline (Zoloft) −3.51 [-6.99;-0.04] (Base on CDRS-R)[63]
Vilazodone (Viibryd) −0.84 [-3.03; 3.36] (Base on CDRS-R)[63] There is insufficient evidence to confirm the efficacy of vilazodone in adolescents with MDD, but safety and tolerance is well [(Durgam et al., 2018b)]
SNRIs Desvenlafaxine (Pristiq) −0.07 [-3.57; 3.36] (Base on CDRS-R)[63] Not recommended for SNRI as primary treatment for adolescent depression. The adverse events that occur in treatment involve physical and emotional/behavioural side effects [(Elbe et al., 2014)]. Venlafaxine is associated with a higher risk of suicide
Duloxetine (Cymbalta) −2.70 [-5.03;-0.37] (Base on CDRS-R)[63]
Milnacipran (Savella) −0.38 [-3.41; 2.64][(Fluvoxamine Maleate in the Treatment)]
Venlafaxine (Effexor, Effexor XR) −1.90 [-5.17; 1.37] (Base on CDRS-R)[63]
Tricyclics Amitriptyline (Elavil, Endep, Levate), Amoxapine (Asendin), Imipramine (Tofranil, Tofranil-PM), Doxepin (Adapin, Silenor, Sinequan), Maprotiline (Ludiomil), Clomipramine (Anafranil), Desipramine (Norpramin, Pertofrane), Nortryptyline (Aventyl, Pamelor), Protriptyline (Vivactil), Trimipramine (Surmontil, Trimip, Tripramine) Total: 0.32 [-0.59;-0.04]
Adolescents: 0.45 [-0.83;-0.007]
Child: 0.15 [-0.32; 0.64] (Base on CDRS-R)[(Leeb et al., 2020)]
Tricyclic drugs are ineffective in adolescent depression and cause more vertigo, upright hypotension, tremors and dry mouth [(Leeb et al., 2020)]
Others Bupropion (Alpenzin, Budeprion SR, Budeprion XL, Buproban, Wellbutrin, Wellbutrin SR, Wellbutrin XR, Zyban) Fifty-eight subjects (45.7%) were determined to be responders at 12 weeks (defined by a CGI-Depression-I score ≤2) Bupropion is effective and well tolerated in adolescents suffering from depression. During the treatment, side effects such as, insomnia, loss of appetite, anxiety, headache, drowsiness, nausea/vomiting could occur [(Jones et al., 2021)]
Mirtazapine (Remeron, RemeronSolTab) −2.79 [-6.72; 1.14] (Base on CDRS-R)[63] Mirtazapine is effective and tolerable in adolescents with MDD [(Mayne et al., 2021)]
St. John’s Wort / Recommended for adult depression [58]

Abbreviations:MD, mean diference; CI, confidence interval; SSRIs, Selective serotonin reuptake inhibitors; SNRIs, Serotonin and norepinephrine reuptake inhibitors.

3.1.1 Selective Serotonin Reuptake Inhibitors (SSRIs)

SSRIs have been the most frequently recommended antidepressants, which may alleviate the symptoms of moderate to severe depression and are safer than other antidepressants. A meta-analysis suggested that concerning the effectiveness of SSRIs, fluoxetine and escitalopram with consistent efficacy in improving depression for adolescents compared with placebo (Hetrick et al., 2007). An additional trial revealed fluoxetine is not associated with an increase in suicidal ideation (Zhao et al., 2024). A subgroup analysis of the placebo-controlled clinical study resulted in significantly better efficacy of escitalopram than placebo in adolescents aged 12–17 years (Wagner et al., 2006). Therefore, the FDA approved fluoxetine for children aged 8 years and older, Escitalopram (Lexapro) for ages 12 years and older. Vilazodone is an antidepressant, which used to relieve MDD but is not approved for using in adolescents under 18. In the phase 3, double-blind, randomized controlled study in adolescents (12–17 years) with MDD to assess the efficacy, safety and tolerability of vilazodone, the outcome failed to demonstrate that vilazodone had an effect on MDD in adolescents (Durgam et al., 2018a). Monitoring symptoms and side effects closely after antidepressants administation is critical (Birmaher et al., 2007).

Improvements in depressive symptoms were significantly better in subjects who received fluoxetine in combination with cognitive behavioral therapy (CBT) and received fluoxetine alone compared with subjects who received placebo or CBT alone (March et al., 2007). A meta-analysis enrolling 71 trials (9510 participants) also showed that fluoxetine combined with CBT was more effective than CBT alone and psychodynamic therapy but not more effective than fluoxetine alone. In general, fluoxetine (alone or in combination with CBT) in adolescents with moderate to severe depression appears to be the optimum choice for acute treatment (Zhou et al., 2020), whereas SSRIs are not recommended for mild depression in adolescents (Wong et al., 2004), (Dudley et al., 2010).

3.1.2 Serotonin Norepinephrine Reuptake Inhibitors (SNRIs)

SNRIs can relieve anxiety disorders and long-term (chronic) pain, of which recent evidence lacks support SNRIs as a primary treatment for adolescent depression (Jane Garland et al., 2016). A meta-analysis of clinical trials showed remission rates of 48.5% for SNRIs and 41.9% for SSRIs. The dropout rate due to poorly tolerated was higher in SNRIs than in SSRIs (Machado and Einarson, 2010). Venlafaxine is the representative drug of SNRI. Two placebo-controlled trials investigating the effectiveness of venlafaxine ER for the treatment of depression in adolescents found that it might be effective in depressed adolescents. As is a higher risk of suicide ideation compared to citalopram when applied to the adolescent population (Rubino et al., 2007), and the close monitoring is required during administration (Emslie et al., 2007). There is also insufficient evidence for the efficacy of duloxetine in adolescents (Emslie et al., 2014), (Atkinson et al., 2014).

3.1.3 Tricyclics and others

Tricyclic antidepressants are unlikely to be beneficial for depression in adolescents and could also cause more vertigo, postural hypotension and thirst. An analysis including 12 studies concluded (Hazel et al., 2000), the lethality of tricyclic antidepressants in overdose and side effects implies their relatively little application in adolescents. A 2013 update of this study, which included 14 trials (590 participants), concluded that tricyclics are almost ineffective for adolescent depression. For this reason, tricyclic antidepressants are not recommended for pediatric or adolescent populations (Hazell and Mirzaie, 2013).

Bupropion for the treatment of MDD and seasonal affective disorder is an aminoketone antidepressant. It is practical and well-tolerated in adolescents suffering from depression. Side effects such as dizziness, insomnia, and loss of appetite may occur during treatment [(BC Mental Health, 2023)]. Generally, depressed adolescents taking bupropion for 2–3 months will experience improved depressive status (improved mood, better sleep, more energy, and improved quality of life). Where possible, including behavioral therapy such as interpersonal therapy (IPT) or CBT may be beneficial. But American Psychological Association (APA) clinical practice guideline only recommend bupropion for use in adults (Guideline Development Panel for the Treatment of Depressive Disorders, 2022).

Mirtazapine is a tetracyclic antidepressant with an obscure mechanism of action. It may be having a positive effect towards the communication among nerve cells in the central nervous system and/or restoring the chemical balance. Adult MDD is treatable with mirtazapine. Whether mirtazapine for MDD in adolescents is safe and effective is uncertain. An open-label, multiple centre study claims mirtazapine may be a valid method of treating major depression in adolescents, and common adverse events are fatigue, increased appetite and dizziness (Haapasalo-Pesu et al., 2004). However, the FDA has not approved mirtazapine for adolescents, and APA clinical practice guideline also against mirtazapine treatment for MDD in adolescents (World Health Organiztionc).

3.1.4 Herbs - St. John’s wort

St. John’s is currently recommended for treating depression, menopausal symptoms, attention deficit hyperactivity disorder (ADHD) and other conditions. It is widely prescribed for depression in Europe. Early open-label studies suggested that St John’s Wort may be effective in mild and severe adolescent depression (Simeon et al., 2005), (Findling et al., 2003). However, St. John’s wort is known to interfere with the metabolism of some drugs and potentially causes serious side effects. Combining St. John’s wort with antidepressants may lead to elevated levels of serotonin, a brain chemical targeted by antidepressants, which is likely to be life-threatening. Based on the findings of previous surveys and drug properties, the guideline only recommend St John’s Wort for adults (World Health Organiztionc).

3.2 Integrative care

These can be referred to by the term “integrative care”, which primarily involve multidisciplinary care, for example “chronic care management, integrated behavioral healthcare, collaborative care”. Guidelines state that complex chronic diseases, such as depression, could be more successfully managed by proactive, patient-centered multidisciplinary care team[38]. Results for depressed adolescents from different primary care settings were significantly stronger than usual care in a 6-month study of Integrative Care [(Asarnow et al., 2005)]. For a randomized clinical trial followed by 12 months of integrative care as an intervention, with the Childhood Depression Rating Scale (CDRS-R; scale range, 14–94) as the outcome scale. Research shows that integrative care demonstrated stronger improvements in depressive symptoms at 12 months compared to conventional healthcare [(Richardson et al., 2014)]. Integrative care for adolescent depression could be integrated into primary care, according to the above.

3.3 Psychotherapy

Mild to moderate depression in adolescents with psychotherapy is the best treatment because it is effective and there is no risk of adverse effects or suicide. Psychotherapy combined with antidepressants can also improve the effectiveness of treatment. CBT and IPT-A are the major psychotherapeutic. We examined the efficacy of psychotherapy through a number of studies and meta-analyses.

3.3.1 Cognitive behavioral therapy (CBT)

CBT is a psychosocial intervention designed to improve mental health. Originally used to treat depression, CBT has extended to treat many mental health conditions, including anxiety disorders. A meta-analysis (4335 participants) indicated the CBT is effective for young people with depression and as a preventive measure reduces the risk of depression by 63% (Bodden et al., 2019). Jesse B. Klein’s research also supports the effectiveness of CBT in adolescents (Klein et al., 2007). Most CBT studies with depressed adolescents found a reduction in suicidal ideation regardless of the form of CBT (i.e. individual, group) (Spirito et al., 2011). CBT is also combined with antidepressants for depression in adolescents, such as fluoxetine and venlafaxine, which is better than CBT alone, but no advantage over SSRIs alone [(Kutcher, 2008)]. Overall, the improvement of depression in adolescents with CBT, whether used alone or in combination with antidepressants, are supported by evidence of its safety and effectiveness.

The application of Digital Cognitive Behavioral Therapy (eCBT) is becoming more widespread. The traditional CBT is a face-to-face talking therapy that takes place in a direct one-to-one relationship between patient and therapist, and also allows team therapy (Luik et al., 2017). DCBT is a specific application that can be extended to email, video or other digital platforms. A review (n = 1575) found that dCBT was slightly superior to control group in improving depressive symptoms after early intervention, with no advantage at longer follow-up, and dCBT did not increase the risk of suicide (Ivlev et al., 2022). But it may improve insomnia among depressed patients (Cliffe et al., 2020).

3.3.2 Adolescents with depression (IPT-A)

Interpersonal Psychotherapy for AIPT-A is an individual psychotherapy intended for adolescents between the ages of 12 and 18 (Weissman et al., 2003). The duration of IPT-A treatment is 12–16 weeks, and parents also receive some education about depression. IPT-A can improve the skill of cognitive, communication and problem-solving in adolescents; enhancing social functioning and reducing stress in interpersonal relationships, and it is effective for mild to moderate adolescent depression. IPT combine CBT with medication is the best choice for adolescents with moderate to severe depression (Vitiello, 2009).

3.3.3 Family therapy

Negative family situations, family conflict, and other poor family relationships are high-risk factors for adolescent depression (Lewis et al., 2013). Family therapy is another model of psychotherapy that focuses on communication between the patient and family members to achieve therapeutic goals. It involves psychodynamic family therapy, structural family therapy, strategic family therapy, and cognitive behavioral family therapy (Broderick and Weston, 2009).The systemic family therapy available as a second-line treatment for depression and chronic illness is an effective intervention for adolescent (Cottrell and Boston, 2002).

3.3.4 Neuroanalytic therapy

Influencing the patient’s behavior, thoughts, and feelings, neuroanalytic therapy is a talking therapy based on Sigmund Freud’s theory of psychoanalysis. This supports adolescents in controlling and managing their emotions. A retrospective study finds that neuroanalytic treatment relieves depressive symptoms and anxiety, and provides lasting effects (Hazell and Mirzaie, 2013). Another trial confirmed the effectiveness of neuroanalytic treatment in adolescents with severe mental disorders, with efficacy lasting up to 1 year and a remission rate of about 70% (Weitkamp et al., 2017).

3.4 Suicide risk management

Regular and thorough assessment of suicide risk is essential. This includes evaluating the severity of suicidal thoughts, the presence of a suicide plan, and the means available for suicide. It is crucial to collaborate with adolescents and their families to develop a safety plan, which should include identifying warning signs, implementing coping strategies, and listing emergency contacts. Adolescents at risk for suicide require close monitoring, particularly during the initial stages of treatment and when there are changes in medication or therapy. It is also essential to collaborate closely with mental health specialists and other healthcare providers to ensure comprehensive care and appropriate intervention when necessary.

3.5 Long-term monitoring

Scheduling regular follow-up appointments allows for ongoing assessment of the adolescent’s mental health status and treatment effectiveness.Continuously tracking symptoms of depression and any co-occurring conditions helps in adjusting treatment plans as needed. Evaluating adolescents’ functioning across various domains (e.g., school, social relationships, and family life) can provide insight into the overall impact of depression and its treatment. For adolescents on antidepressant medication, long-term monitoring includes assessing side effects, treatment adherence, and the need for dosage adjustments. Functional Assessment: Evaluating the adolescent’s functioning in various domains, such as school, social relationships, and family life, provides insight into the overall impact of depression and treatment effectiveness.

3.6 Relapse prevention

After achieving remission, continuation treatment for at least 6 months is recommended to prevent relapse. In some cases, maintenance treatment for longer periods may be necessary, especially for adolescents with a high risk of recurrence. Ongoing psychotherapy, such as CBT or IPT, can help adolescents develop coping skills and strategies to prevent relapse. Involving families in relapse prevention is also important. Educating families about depression, its symptoms, and how to support their adolescent can enhance the effectiveness of relapse prevention strategies. Additionally, teaching adolescents stress management techniques and promoting a healthy lifestyle can help reduce the risk of relapse.

4 Advances in the treatment of adolescent depression

Even though several therapeutic approaches are available to intervene with the depression in adolescents. However, The State of the World’s Adolescents 2021 report estimates 45,800 adolescent deaths from suicide globally each year (UNICEF, 2021). There are 828 antidepressants in development at the end of 2019 (Li et al., 2021), with novel targets such as N-methyl-D-aspartic acid receptor (NMDAR), dopamine receptor (DA), opioid receptor. Few antidepressants are under development for adolescents. However, antidepressants with a proven safety and efficacy profile will also be approved in adolescents. Table 5 lists the classification and mechanisms of some targets.

TABLE 5.

New targets for antidepressant development.

Target Representative drugs Indication Status Sponsor
Non-competitive NMDAR antagonists Axs-05 Major depression in adults Phase 3 Axsome Therapeutics
Spravato Adult refractory depression Approved Johnson
An agonist for ADRβ3 Amibegron Major depression in adults Phase 3 Sanofi
Opioid receptor partial agonists Buprenorphine/samidorphan Refractory severe depression Phase 3 Alkermes
NK1R receptor antagonists L-759274 Major depression in adults Phase 3 Merck
Selective OX2R antagonist Seltorexant MDD with insomnia symptoms Phase 3 Johnson/minerva neurosciences
GABAAR positive allosteric modulator Zuranolone MDD and postpartum depression Phase 3 Sage therapeutics
Fengabine MDD Phase 3 Sanofi
Nicotinic channel modulator(nAChR) Dexmecamylamine Major depression Phase 2 Targacept pharma, AZ
PDE4 inhibitors Rolipram Major depression Phase 2 National Institute of Mental Health

Abbreviations: NMDA, N-methyl-D-aspartic acid receptor; ADRβ3, atypical beta3-adrenoceptors; NK1R, Neurokinin 1 (substance p) receptor; OX2R, orexin-2, receptors; GABAAR, γ-aminobutyric acid A receptor; nAChR, nicotinic acetylcholine receptor; PDE4, Phosphodiesterase-4; MDD, major depression disorder.

Clinical trials in phase 2 and phase 3 of the intervention for adolescent depression in Table 6 (Excluding completed trials), were screened from the “clinical trials ”database using the keyword “adolescent depression”.In addition to traditional psychological treatments, such as CBT and IPT-A, we found that there are other non-pharmacological treatment regimens, which include “Attachment-based family therapy”, “Primary Care Internet-Based Depression Prevention (CATCH-IT)”, “Transcranial Direct Current Stimulation (tDCS)”, “Attention Bias Modification Training (ABMT)”. The tDCS intervention widely tested for the treatment of major depression is a non-invasive technique that stimulates the prefrontal cortex and low-intensity continuous current changes cortical excitability, application to adolescents is safe and well-tolerated (Lee et al., 2017).

TABLE 6.

Ongoing clinical trial of depression in adolescents.

Non-pharmacological Antidepressants
Intervention No. of studies Conditions Intervention No. of studies Conditions
IPT-A 1 Depressive Disorder Ketamine 5 Major Depressive, Suicide
CBT 3 Depressive Omega-3 fatty acid 1 Depressive
Attachment-based family therapy 2 Depressive, Mood Disorder Duloxetine hydrochloride 1 Depressive
Primary Care Internet-Based Depression Prevention 1 Depression, Anxiety
Externalizing, Symptoms
Vortioxetine 1 Depressive
Transcranial Direct Current Stimulation 4 Major Depressive Escitalopram 1 Major Depressive
Behavioral Activation Therapy 1 Depressive N-acetylcysteine 1 Major Depressive
Attention Bias Modification Training 1 Major Depressive Esketamine 1 Major Depressive
Family-Focused Treatment with MCC App 1 Mood Disorders
Bipolar Disorder, Major Depression
Riluzole 2 Depression, And Bipolar Disorder, Anxiety Disorders

Note: From the “clinical trials” database, phase2-3, adolescents (0–17 years old).

We also identified some antidepressants and are trying to investigate their safety and tolerability in adolescents, such as ketamine, esketamine, N-acetylcysteine, and Riluzole. Ketamine is considered to be the most promising for adolescent depression, and studies have demonstrated that a monotherapy treatment can improve depressive symptoms for up to 2 weeks (Dwyer et al., 2021). Other promising anti-glutamate and antioxidant drugs such as riluzole and N-acetylcysteine are also being used for depression in adolescents. Previous studies have suggested the therapeutic potential of riluzole and N-acetylcysteine in adolescent depression, with a favorable safety profile (Fernandes et al., 2016), (Yao et al., 2020). Nevertheless, we are looking for more research to confirm both safety and efficacy in adolescents.

5 Recommendations and Conclusions

In conclusion, we have the following recommendations for depression treatment of adolescents: 1) Adolescents with mild to moderate depression are mostly treated with non-pharmacological treatment, examples are CBT and IPT-A; 2) Antidepressants are only a few approved for use in adolescents and require careful use under close monitoring; 3) Combined psychotherapy + SSRI therapy and Integrated Care are used to treat adolescents with major depression.

These treatments are all common and well-documented. A growing number of regimens for adolescent depression are being investigated, including some non-pharmacological therapies and antidepressants previously used in adults. Therefore, developing new interventions for adolescent depression holds some promise, and we are eagerly awaiting the introduction of new strategies.

Funding Statement

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by grants from National Natural Science Foundation of China (82201700), Outstanding Youth Project from Nanjing Health and Health Commission (JQX23009), Children’s Hospital of Nanjing Medical University (TJGC2021009).

Author contributions

CY: Funding acquisition, Methodology, Project administration, Supervision, Writing – review and editing. MX: Investigation, Methodology, Writing – original draft. ZZ: Data curation, Writing – review and editing.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  1. Abraham E., Scott M. A., Blair C. (2020). Catechol-O-methyltransferase Val158Met genotype and early-life family adversity interactively affect attention-deficit hyperactivity symptoms across childhood. Front. Genet. 11, 724. 10.3389/fgene.2020.00724 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Apter A., Ratzoni G., King R. A., Weizman A., Iancu I., Binder M., et al. (1994). Fluvoxamine open-label treatment of adolescent inpatients with obsessive-compulsive disorder or depression. J. Am. Acad. Child. Adolesc. Psychiatry 33 (3), 342–348. 10.1097/00004583-199403000-00007 [DOI] [PubMed] [Google Scholar]
  3. Asarnow J. R., Jaycox L. H., Duan N., LaBorde A. P., Rea M. M., Murray P., et al. (2005). Effectiveness of a quality improvement intervention for adolescent depression in primary care clinics: a randomized controlled trial. JAMA 293 (3), 311–319. 10.1001/jama.293.3.311 [DOI] [PubMed] [Google Scholar]
  4. Atkinson S. D., Prakash A., Zhang Q., Pangallo B. A., Bangs M. E., Emslie G. J., et al. (2014). A double-blind efficacy and safety study of duloxetine flexible dosing in children and adolescents with major depressive disorder. J. Child Adolesc. Psychopharmacol. 24 (4), 180–189. 10.1089/cap.2013.0146 [DOI] [PubMed] [Google Scholar]
  5. BC mental health (2023). addiction services. Available online at: https://keltymentalhealth.ca/sites/default/files/documents/bupropion_medication_information__may_2013.pdf#:∼:text=Testing%20of%20bupropion%20in%20research%20studies%20of%20children,may%20help%20to%20increase%20the%20potential%20for%20benefits.
  6. Beer R. J., Cnattingius S., Susser E. S., Villamor E. (2023). Associations of pregnancy complications and neonatal characteristics with bipolar disorder in the offspring: nationwide cohort and sibling-controlled studies. Bipolar Disord. 25 (4), 312–322. 10.1111/bdi.13327 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Bernardoni F., Tam F., Poitz D. M., Hellerhoff I., Arold D., Geisler D., et al. (2024). Effect of serum concentrations of IL-6 and TNF-α on brain structure in anorexia nervosa: a combined cross-sectional and longitudinal study. Neuropsychopharmacol 49, 1509–1517. 10.1038/s41386-024-01836-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Bernhard A., Fann N., Chiocchetti A. G., Ackermann K., Martinelli A., Freitag C. M. (2025). Psychoneuroendocrine stress response in female and male youth with major depressive disorder. J. Child. Psychol. Psychiatry. Published online March 23. 10.1111/jcpp.14168 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Birmaher B., Brent D., Bernet W., Bukstein O., Walter H., Benson R. S., et al. (2007). Practice parameter for the assessment and treatment of children and adolescents with depressive disorders. J. Am. Acad. Child. Adolesc. Psychiatry 46, 1503–1526. 10.1097/chi.0b013e318145ae1c [DOI] [PubMed] [Google Scholar]
  10. Bodden D., Nauta M., Stone L., van den Heuvel M., Taher R. A., de Graaf I., et al. (2019). Effectiveness of CBT for children and adolescents with depression: a systematic review and meta-regression analysis. Eur. Psychiatry 57, 33–45. 10.1016/j.eurpsy.2018.12.008 [DOI] [PubMed] [Google Scholar]
  11. Booij S. H., Bos E. H., De Jonge P., Oldehinkel A. J. (2014). Markers of stress and inflammation as potential mediators of the relationship between exercise and depressive symptoms: findings from the TRAILS study. Psychophysiology 52 (3), 352–358. 10.1111/psyp.12329 [DOI] [PubMed] [Google Scholar]
  12. Brent D., Melhem N., Ferrell R., Emslie G., Wagner K. D., Ryan N., et al. (2010). Association of FKBP5 polymorphisms with suicidal events in the treatment of resistant depression in adolescents (TORDIA) study. Am. J. Psychiatry 167 (2), 190–197. 10.1176/appi.ajp.2009.09040576 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Broderick P., Weston C. (2009). Family therapy with a depressed adolescent. Psychiatry (Edgmont). 6 (1), 32–37. [PMC free article] [PubMed] [Google Scholar]
  14. Burnett A., Anderson P., Cheong J., Doyle L., Davey C., Wood S. (2011). Prevalence of psychiatric diagnoses in preterm and full-term children, adolescents and young adults: a meta-analysis. Psychol. Med. 41 (12), 2463–2474. 10.1017/S003329171100081X [DOI] [PubMed] [Google Scholar]
  15. Cai H., Bai W., Liu H., Chen X., Qi H., Liu R., et al. (2022). Network analysis of depressive and anxiety symptoms in adolescents during the later stage of the COVID-19 pandemic. Transl. Psychiatry 12 (1), 98. 10.1038/s41398-022-01838-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Caspi A., Sugden K., Moffitt T. E., Taylor A., Craig I. W., Harrington H., et al. (2003). Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene. Science 301, 386–389. 10.1126/science.1083968 [DOI] [PubMed] [Google Scholar]
  17. Chai Y., Lam I. C. H., Man K. K. C., Hayes J. F., Wan E. Y. F., Li X., et al. (2025). Psychiatric and neuropsychiatric sequelae of COVID-19 within 2 years: a multinational cohort study. BMC Med. 23 (1), 144. 10.1186/s12916-025-03952-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Chaplin A. B., Jones P. B., Khandaker G. M. (2020). Association between common early-childhood infection and subsequent depressive symptoms and psychotic experiences in adolescence: a population-based longitudinal birth cohort study. Psychol. Med. 13, 1–11. 10.1017/S0033291720004080 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Chen J., Yang K., Cao Y., Du Y., Wang N., Qu M. (2022). Depressive symptoms among children and adolescents in China during the coronavirus disease-19 epidemic: a systematic review and meta-analysis. Front. Psychiatry 13, 2–7. 10.3389/fpsyt.2022.870346 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Chen X., Qi H., Liu R., Feng Y., Li W., Xiang M., et al. (2021). Depression, anxiety and associated factors among Chinese adolescents during the COVID-19 outbreak: a comparison of two cross-sectional studies. Transl. Psychiatry 11 (1), 148. 10.1038/s41398-021-01271-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Cheung A. H., Zuckerbrot R. A., Jensen P. S., Laraque D., Stein R. E. K., Levitt A., et al. (2018). Guidelines for adolescent depression in primary care (GLAD-PC): Part II. Treatment and ongoing management. Pediatrics 141 (3), 2–10. 10.1542/peds.2017-4082 [DOI] [PubMed] [Google Scholar]
  22. Clerici L., Bottari D., Bottari B. (2025). Gut microbiome, diet and depression: literature review of microbiological, nutritional and neuroscientific aspects. Curr. Nutr. Rep. 14 (1), 30. 10.1007/s13668-025-00619-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Cliffe B., Croker A., Denne M., Smith J., Stallard P. (2020). Digital cognitive behavioral therapy for insomnia for adolescents with mental health problems: feasibility open trial. JMIR Ment. Health 7 (3), e14842. 10.2196/14842 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Converge C. (2015). Sparse whole-genome sequencing identifies two loci for major depressive disorder. Nature 523, 588–591. 10.1038/nature14659 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Cottrell D., Boston P. (2002). Practitioner Review: the effectiveness of systemic family therapy for children and adolescents. J. child Psychol. psychiatry 43 (5), 573–586. 10.1111/1469-7610.00047 [DOI] [PubMed] [Google Scholar]
  26. Czeisler M. É., Lane R. I., Petrosky E., Wiley J. F., Christensen A., Njai R., et al. (2020). Mental health, substance use, and suicidal ideation during the COVID-19 pandemic - United States, June 24-30, 2020. MMWR Morb. Mortal. Wkly. Rep. 69, 1049–1057. 10.15585/mmwr.mm6932a1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Du X., Wu H., Yalikun S., Li J., Jia J., Duan T., et al. (2025). Trajectories of Chinese adolescent depression before and after COVID-19: a cross-temporal meta-analysis with segmented regression. J. Affect. Disord. 373, 333–344. 10.1016/j.jad.2024.12.094 [DOI] [PubMed] [Google Scholar]
  28. Dudley M., Goldney R., Hadzi-Pavlovic D. (2010). Are adolescents dying by suicide taking SSRI antidepressants: a review of observational studies. Australas. Psychiatry 18 (3), 242–245. 10.3109/10398561003681319 [DOI] [PubMed] [Google Scholar]
  29. Durgam S., Chen C., Migliore R., Prakash C., Edwards J., Findling R. L. (2018a). A phase 3, double-blind, randomized, placebo-controlled study of vilazodone in adolescents with major depressive disorder. Paediatr. Drugs 20 (4), 353–363. 10.1007/s40272-018-0290-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Durgam S., Chen C., Migliore R., Prakash C., Edwards J., Findling R. L. (2018b). A phase 3, double-blind, randomized, placebo-controlled study of vilazodone in adolescents with major depressive disorder. Paediatr. Drugs 20 (4), 353–363. 10.1007/s40272-018-0290-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Dwyer J. B., Landeros-Weisenberger A., Johnson J. A., Londono Tobon A., Flores J. M., Nasir M., et al. (2021). Efficacy of intravenous ketamine in adolescent treatment-resistant depression: a randomized midazolam-controlled trial. Am. J. Psychiatry 178 (4), 352–362. 10.1176/appi.ajp.2020.20010018 [DOI] [PubMed] [Google Scholar]
  32. Elbe D., Bezchlibnyk-Butler K., Virani A. S., Procyshyn R. M. (2014). Clinical handbook of psychotropic drugs for children and adolescents. Newburyport, MA: Hogrefe & Huber Publishers. [Google Scholar]
  33. Emslie G. J., Findling R. L., Yeung P. P., Kunz N. R., Li Y. (2007). Venlafaxine ER for the treat of pediatric subjects with depression: results of two placebo-controlled trials. Journal of the American Academy of Child and adolescent Psychiatry . J. Am. Acad. Child. Adolesc. Psychiatry 46 (4), 479–488. 10.1097/chi.0b013e31802f5f03 [DOI] [PubMed] [Google Scholar]
  34. Emslie G. J., Prakash A., Zhang Q., Pangallo B. A., Bangs M. E., March J. S. (2014). A double-blind efficacy and safety study of duloxetine fixed doses in children and adolescents with major depressive disorder. J. Child Adolesc. Psychopharmacol. 24 (4), 170–179. 10.1089/cap.2013.0096 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Evans E. A., Sullivan M. A. (2014). Abuse and misuse of antidepressants. Subst. abuse rehabilitation 5, 107–120. 10.2147/SAR.S37917 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Fegert J. M., Vitiello B., Plener P. L., Clemens V. (2020). Challenges and burden of the Coronavirus 2019 (COVID-19) pandemic for child and adolescent mental health: a narrative review to highlight clinical and research needs in the acute phase and the long return to normality. Child. Adolesc. Psychiatry Ment. Health 14, 20. 10.1186/s13034-020-00329-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Fernandes B. S., Dean O. M., Dodd S., Malhi G. S., Berk M. (2016). N-Acetylcysteine in depressive symptoms and functionality: a systematic review and meta-analysis. J. Clin. Psychiatry 77 (4), 457–466. 10.4088/JCP.15r09984 [DOI] [PubMed] [Google Scholar]
  38. Findling R. L., McNamara N. K., O'Riordan M. A., Reed M. D., Demeter C. A., Branicky L. A., et al. (2003). An open-label pilot study of St. John's wort in juvenile depression. J. Am. Acad. Child. Adolesc. Psychiatry 42 (8), 908–914. 10.1097/01.CHI.0000046900.27264.2A [DOI] [PubMed] [Google Scholar]
  39. Fluvoxamine maleate in the treatment of depression (2003). depressive state: a post-marketing clinical study in children and adolescents. Available online at: https://clinicaltrials.gov/ct2/show/NCT00353028.
  40. Fortenberry J. D. (2003). Socioeconomic status, schools, and adolescent depression: progress in the social epidemiology of adolescent health. J. Pediatr. 143 (4), 427–429. 10.1067/S0022-3476(03)00467-0 [DOI] [PubMed] [Google Scholar]
  41. Guideline Development Panel for the Treatment of Depressive Disorders (2022). Summary of the clinical practice guideline for the treatment of depression across three age cohorts. Am. Psychol. 77 (6), 770–780. 10.1037/amp0000904 [DOI] [PubMed] [Google Scholar]
  42. Haapasalo-Pesu K. M., Vuola T., Lahelma L., Marttunen M. (2004). Mirtazapine in the treatment of adolescents with major depression: an open-label, multicenter pilot study. J. Child. Adolesc. Psychopharmacol. 14 (2), 175–184. 10.1089/1044546041649110 [DOI] [PubMed] [Google Scholar]
  43. Hawes M. T., Szenczy A. K., Klein D. N., Hajcak G., Nelson B. D. (2022). Increases in depression and anxiety symptoms in adolescents and young adults during the COVID-19 pandemic. Psychol. Med. 52, (14), 3222–3230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Hazel P., O'Connell D., Heathcote D., Henry D. (2000). Tricyclic drugs for depression in children and adolescents. Cochrane Database Syst. Rev. 3, CD002317. 10.1002/14651858.CD002317 [DOI] [PubMed] [Google Scholar]
  45. Hazell P., Mirzaie M. (2013). Tricyclic drugs for depression in children and adolescents. Cochrane Database Syst. Rev. 6, 25–38. 10.1002/14651858.cd002317.pub2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Heim C., Binder E. B. (2012). Current research trends in early life stress and depression: review of human studies on sensitive periods, gene-environment interactions, and epigenetics. Exp. Neurol. 233, 102–111. 10.1016/j.expneurol.2011.10.032 [DOI] [PubMed] [Google Scholar]
  47. Hetrick S. E., Merry S., McKenzie J., Sindahl P., Proctor M. (2007). Selective serotonin reuptake inhibitors (SSRIs) for depressive disorders in children and adolescents. Cochrane Database Syst. Rev. 3, CD004851. 10.1002/14651858.CD004851.pub2 [DOI] [PubMed] [Google Scholar]
  48. Hetrick S. E., Merry S., McKenzie J., Sindahl P., Proctor M. (2007). Selective serotonin reuptake inhibitors (SSRIs) for depressive disorders in children and adolescents. Cochrane Database Syst. Rev. 3, 13–23. [DOI] [PubMed] [Google Scholar]
  49. Hilt L. M., Sander L. C., Nolen-Hoeksema S., Simen A. A. (2007). The BDNF Val66Met polymorphism predicts rumination and depression differently in young adolescent girls and their mothers. Neurosci. Lett. 429 (1), 12–16. 10.1016/j.neulet.2007.09.053 [DOI] [PubMed] [Google Scholar]
  50. Hu X., Wu J., Shi L., Wang F., He K., Tan P., et al. (2025). The transcription factor MEF2C restrains microglial overactivation by inhibiting kinase CDK2. Immunity 58 (4), 946–960. 10.1016/j.immuni.2025.02.026 [DOI] [PubMed] [Google Scholar]
  51. Hygen B. W., Belsky J., Stenseng F., Lydersen S., Guzey I. C., Wichstrom L. (2015). Child exposure to serious life events, COMT, and aggression: testing differential susceptibility theory. Dev. Psychol. 51 (8), 1098–1104. 10.1037/dev0000020 [DOI] [PubMed] [Google Scholar]
  52. Ivlev I., Beil T. L., Haynes J. S., Patnode C. D. (2022). Rapid evidence review of digital cognitive-behavioral therapy for adolescents with depression. J. Adolesc. Health 71 (1), 14–29. 10.1016/j.jadohealth.2022.01.220 [DOI] [PubMed] [Google Scholar]
  53. Jane Garland E., Kutcher S., Virani A., Elbe D. (2016). Update on the use of SSRIs and SNRIs with children and adolescents in clinical practice. J. Can. Acad. Child. Adolesc. Psychiatry 25 (1), 4–10. [PMC free article] [PubMed] [Google Scholar]
  54. Jones E. A. K., Mitra A. K., Bhuiyan A. R. (2021). Impact of COVID-19 on mental health in adolescents: a systematic review. Int. J. Environ. Res. Public Health 18 (5), 2470. 10.3390/ijerph18052470 [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Kim H. D., Wei J., Call T., Ma X., Quintus N. T., Summers A. J., et al. (2024b). SIRT1 coordinates transcriptional regulation of neural activity and modulates depression-like behaviors in the nucleus accumbens. Biol. psychiatry 96 (6), 495–505. 10.1016/j.biopsych.2024.03.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Kim S., Hwang J., Lee J. H., Park J. Y., Kim H. J., Son Y. J., et al. (2024a). Psychosocial alterations during the COVID-19 pandemic and the global burden of anxiety and major depressive disorders in adolescents, 1990-2021: challenges in mental health amid socioeconomic disparities. World J. Pediatr. 20 (10), 1003–1016. 10.1007/s12519-024-00837-8 [DOI] [PubMed] [Google Scholar]
  57. Klein J. B., Jacobs R. H., Reinecke M. A. (2007). Cognitive-behavioral therapy for adolescent depression: a meta-analytic investigation of changes in effect-size estimates. J. Am. Acad. Child. Adolesc. Psychiatry 46 (11), 1403–1413. 10.1097/chi.0b013e3180592aaa [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Kutcher S. (2008). CBT plus an SSRI was as effective as an SSRI alone for adolescents with moderate to severe depression. Evid. Based Med. 13 (1), 13. 10.1136/ebm.13.1.13 [DOI] [PubMed] [Google Scholar]
  59. Lee J. C., Lewis C. P., Daskalakis Z. J., Croarkin P. E. (2017). Transcranial direct current stimulation: considerations for research in adolescent depression. Front. Psychiatry 8, 91. 10.3389/fpsyt.2017.00091 [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Leeb R. T., Bitsko R. H., Radhakrishnan L., Martinez P., Njai R., Holland K. M. (2020). Mental ealth-related emergency department visits among children aged 18 Years during the COVID-19 pandemic - United States, january 1-october 17, 2020. MMWR Morb. Mortal. Wkly. Rep. 69 (45), 1675–1680. 10.15585/mmwr.mm6945a3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Lewis A. J., Bertino M. D., Skewes J., Shand L., Borojevic N., Knight T., et al. (2013). Adolescent depressive disorders and family based interventions in the family options multicenter evaluation: study protocol for a randomized controlled trial. Trial 14, 384. 10.1186/1745-6215-14-384 [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Li Z., Ruan M., Chen J., Fang Y. (2021). Major depressive disorder: advances in neuroscience research and translational applications. Neurosci bull . Neurosci. Bull. 37 (6), 863–880. 10.1007/s12264-021-00638-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Lin D., Li L., Chen W. B., Chen J., Ren D. Y., Zheng Z. H., et al. (2023). LHPP, a risk factor for major depressive disorder, regulates stress-induced depression-like behaviors through its histidine phosphatase activity. Mol. Psychiatry 28 (2), 908–918. 10.1038/s41380-022-01893-0 [DOI] [PubMed] [Google Scholar]
  64. Lin Y., Chen Z. H., He M. J., Zhou W. Q., Wang L., Guo H., et al. (2024). The relationship between anxiety and depression in adolescent depression patients: the mediating effect of hope level and coping modes. Heliyon 10 (15), e35466. 10.1016/j.heliyon.2024.e35466 [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Liu Y. R., Ai M., Wang W., Chen J., Wu T., Liu W., et al. (2020). Rare variants in SLC6A4 cause susceptibility to major depressive disorder with suicidal ideation in han Chinese adolescents and young adults. Gene 726, 144147. 10.1016/j.gene.2019.144147 [DOI] [PubMed] [Google Scholar]
  66. Loades M. E., Chatburn E., Higson-Sweeney N., Reynolds S., Shafran R., Brigden A., et al. (2020). Rapid systematic review: the impact of social isolation and loneliness on the mental health of children and adolescents in the context of COVID-19. J. Am. Acad. Child. Adolesc. Psychiatry 59, 1218–1239. 10.1016/j.jaac.2020.05.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Lu B., Lin L., Su X. (2024). Global burden of depression or depressive symptoms in children and adolescents: a systematic review and meta-analysis. J. Affect Disord. 354, 553–562. 10.1016/j.jad.2024.03.074 [DOI] [PubMed] [Google Scholar]
  68. Lu J., Xu X., Huang Y., Li T., Ma C., Xu G., et al. (2021). Prevalence of depressive disorders and treatment in China: a cross-sectional epidemiological study. Lancet Psychiatry 8 (11), 981–990. 10.1016/S2215-0366(21)00251-0 [DOI] [PubMed] [Google Scholar]
  69. Luik A. I., Kyle S. D., Espie C. A. (2017). Digital cognitive behavioral therapy (dCBT) for insomnia: a state-of-the-science review. Curr. Sleep. Med. Rep. 3 (2), 48–56. 10.1007/s40675-017-0065-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Machado M., Einarson T. R. (2010). Comparison of SSRIs and SNRIs in major depressive disorder: a meta-analysis of head-to-head randomized clinical trials. J. Clin. Pharm. Ther. 35 (2), 177–188. 10.1111/j.1365-2710.2009.01050.x [DOI] [PubMed] [Google Scholar]
  71. Magson N. R., Freeman J. Y. A., Rapee R. M., Richardson C.Ev O. E. L., Fardouly J. (2021). Risk and protective factors for prospective changes in adolescent mental health during the COVID-19 pandemic. J. Youth Adolesc. 50 (1), 44–57. 10.1007/s10964-020-01332-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Manzar M. D., Albougami A., Usman N., Mamun M. A. (2021). Suicide among adolescents and youths during the COVID-19 pandemic lockdowns: a press media reports-based exploratory study. J. Child. Adolesc. Psychiatr. Nurs. 34, 139–146. 10.1111/jcap.12313 [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. March J. S., Silva S., Petrycki S., Curry J., Wells K., Fairbank J., et al. (2007). The Treatment for Adolescents with Depression Study (TADS): long-term effectiveness and safety outcomes. Arch. Gen. Psychiatry 64 (10), 1132–1143. 10.1001/archpsyc.64.10.1132 [DOI] [PubMed] [Google Scholar]
  74. Mayne S. L., Hannan C., Davis M., Young J. F., Kelly M. K., Powell M., et al. (2021). COVID-19 and adolescent depression and suicide risk screening outcomes. Pediatrics 148 (3), e2021051507. 10.1542/peds.2021-051507 [DOI] [PubMed] [Google Scholar]
  75. Meade J. (2021). Mental health effects of the COVID-19 pandemic on children and adolescents: a review of the current research. Pediatr. Clin. North Am. 68 (5), 945–959. 10.1016/j.pcl.2021.05.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Michaud P. A., Michaud L., Mazur A., Hadjipanayis A., Kapp C., Ambresin A. E. (2022). The impact of COVID on adolescent mental health, self-harm and suicide: how can primary care provider respond A position paper of the European academy of pediatrics. Front. Pediatr. 23 (10), 2–5. 10.3389/fped.2022.800000 [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Mridha M. K., Hossain M. M., Khan M. S. A., Hanif A. A. M., Hasan M., Mitra D., et al. (2021). Prevalence and associated factors of depression among adolescent boys and girls in Bangladesh: findings from a nationwide survey. BMJ Open 11 (1), e038954. 10.1136/bmjopen-2020-038954 [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. National Institute for Health and Care Excellence (2022). Depression in children and young people: identification and management. Available online at: https://www.nice.org.uk/guidance/ng134/resources/depression-in-children-and-young-people-identification-and-management-pdf-66141719350981. [PubMed]
  79. Patton G. C., Coffey C., Carlin J. B., Olsson C. A., Morley R. (2004). Prematurity at birth and adolescent depressive disorder. Br. J. Psychiatry 184, 446–447. 10.1192/bjp.184.5.446 [DOI] [PubMed] [Google Scholar]
  80. Richardson L. P., Ludman E., McCauley E., Lindenbaum J., Larison C., Zhou C., et al. (2014). Collaborative care for adolescents with depression in primary care: a randomized clinical trial. JAMA 312 (8), 809–816. 10.1001/jama.2014.9259 [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Rocha T. B., Hutz M. H., Salatino-Oliveira A., Genro J. P., Polanczyk G. V., Sato J. R., et al. (2015). Gene environment interaction in youth depression: replication of the 5-HTTLPR moderation in a diverse setting. Am. J. Psychiatry 172 (10), 978–985. 10.1176/appi.ajp.2015.14070896 [DOI] [PubMed] [Google Scholar]
  82. Rubino A., Roskell N., Tennis P., Mines D., Weich S., Andrews E. (2007). Risk of suicide during treatment with venlafaxine, citalopram, fluoxetine, and dothiepin: retrospective cohort study. BMJ 334 (7587), 242. 10.1136/bmj.39041.445104.BE [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Sarmiento-Hernández E. I., Ulloa-Flores R. E., Camarena-Medellín B., Sanabrais-Jimenez M. A., Aguilar-Garcia A., Hernandez-Munoz S. (2019). Association between 5-HTTLPR polymorphism, suicide attempt and comorbidity in Mexican adolescents with major depressive disorder. Actas Esp. Psiquiatr. 47 (1), 1–6. [PubMed] [Google Scholar]
  84. Selph S. S., McDonagh M. S. (2019). Depression in children and adolescents: evaluation and treatment. Am. Fam. Physician 100 (10), 609–617. [PubMed] [Google Scholar]
  85. Shoshani A., Kor A. (2020). The mental health effects of the COVID-19 pandemic on children and adolescents: risk and protective factors. Psychol. Trauma 14 (8), 1365–1373. 10.1037/tra0001188 [DOI] [PubMed] [Google Scholar]
  86. Simeon J., Nixon M. K., Milin R., Jovanovic R., Walker S. (2005). Open-label pilot study of St. John's wort in adolescent depression. J. Child. Adolesc. Psychopharmacol. 15 (2), 293–301. 10.1089/cap.2005.15.293 [DOI] [PubMed] [Google Scholar]
  87. Spirito A., Esposito-Smythers C., Wolff J., Uhl K. (2011). Cognitive-behavioral therapy for adolescent depression and suicidality. Child. Adolesc. Psychiatr. Clin. N. Am. 20 (2), 191–204. 10.1016/j.chc.2011.01.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Ståhlberg T., Upadhyaya S., Polo-Kantola P., Khanal P., Luntamo T., Hinkka-Yli-Salomäki S., et al. (2022). Associations between delivery modes, birth outcomes and offspring anxiety disorders in a population-based birth cohort of children and adolescents. Front. Psychiatry 13, 1–2. 10.3389/fpsyt.2022.917299 [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Tang S., Xiang M., Cheung T., Xiang Y. T. (2021). Mental health and its correlates among children and adolescents during COVID-19 school closure: the importance of parent-child discussion. J. Affect. Disord. 279, 353–360. 10.1016/j.jad.2020.10.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Thompson R. J., Parker K. J., Hallmayer J. F., Waugh C. E., Gotlib I. H. (2011). Oxytocin receptor gene polymorphism (rs2254298) interacts with familial risk for psychopathology to predict symptoms of depression and anxiety in adolescent girls. Psychoneuroendocrinology 36 (1), 144–147. 10.1016/j.psyneuen.2010.07.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Tracy N. (2024). List of antidepressants – list of medications for depression, HealthyPlace. Available online at: from https://www.healthyplace.com/depression/antidepressants/list-of-antidepressants-list-of-medications-for-depression (Accessed April 15, 2022). [Google Scholar]
  92. Uher R. (2014). Gene-environment interactions in common mental disorders: an update and strategy for a genome-wide search. Soc. Psychiatry Psychiatr. Epidemiol. 49, 3–14. 10.1007/s00127-013-0801-0 [DOI] [PubMed] [Google Scholar]
  93. UNICEF, (2021). The state of the World's children 2021 report. Available online at: https://www.unicef.org/reports/st-ate-worlds-children-2021.
  94. van Roekel E., Verhagen M., Scholte R. H., Kleinjan M., Goossens L., Engels R. C. (2013). The oxytocin receptor gene (OXTR) in relation to state levels of loneliness in adolescence: evidence for micro-level gene-environment interactions. PLoS One 8 (11), e77689. 10.1371/journal.pone.0077689 [DOI] [PMC free article] [PubMed] [Google Scholar]
  95. Vinkers C. H., Joëls M., Milaneschi Y., Gerritsen L., Kahn R. S., Penninx B. W., et al. (2015). Mineralocorticoid receptor haplotypes sex-dependently moderate depression susceptibility following childhood maltreatment. Psychoneuroendocrinology 54, 90–102. 10.1016/j.psyneuen.2015.01.018 [DOI] [PubMed] [Google Scholar]
  96. Viswanathan M., Kennedy S. M., McKeeman J., Christian R., Coker-Schwimmer M., Cook-Middleton J., et al. (2020). Treatment of depression in children and adolescents: a systematic review, 20. Rockville (MD): Agency for Healthcare Research and Quality US, 135–150. [PubMed] [Google Scholar]
  97. Vitiello B. (2009). Combined cognitive-behavioral therapy and pharmacotherapy for adolescent depression. CNS Drugs 23 (4), 271–280. 10.2165/00023210-200923040-00001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Wagner K. D., Jonas J., Findling R. L., Ventura D., Saikali K. (2006). A double-blind, randomized, placebo-controlled trial of escitalopram in the treatment of pediatric depression. J. Am. Acad. Child. Adolesc. Psychiatry 45, 280–288. 10.1097/01.chi.0000192250.38400.9e [DOI] [PubMed] [Google Scholar]
  99. Weissman M. M., Markowitz J. C., Klerman G. L. (2003). A comprehensive guide to interpersonal psychotherapy. Albany: Basic Books. [Google Scholar]
  100. Weitkamp K., Daniels J. K., Romer G., Wiegand-Grefe S. (2017). Psychoanalytic psychotherapy for children and adolescents with severe externalising psychopathology: an effectiveness trial. Z Psychosom. Med. Psychother. 63 (3), 251–266. 10.13109/zptm.2017.63.3.251 [DOI] [PubMed] [Google Scholar]
  101. Wesselhoeft R., Jensen P. B., Talati A., Reutfors J., Furu K., Strandberg-Larsen K., et al. (2020). Trends in antidepressant use among children and adolescents: a Scandinavian drug utilization study. Acta Psychiatr. Scand. 41 (1), 34–42. 10.1111/acps.13116 [DOI] [PubMed] [Google Scholar]
  102. Wheeler A. L., Felsky D., Viviano J. D., Stojanovski S., Ameis S. H., Szatmari P., et al. (2018). BDNF-dependent effects on amygdala-cortical circuitry and depression risk in children and youth. Cereb. Cortex 28 (5), 1760–1770. 10.1093/cercor/bhx086 [DOI] [PMC free article] [PubMed] [Google Scholar]
  103. Wong I. C., Besag F. M., Santosh P. J., Murray M. L. (2004). Use of selective serotonin reuptake inhibitors in children and adolescents. Drug Saf. 27 (13), 991–1000. 10.2165/00002018-200427130-00002 [DOI] [PubMed] [Google Scholar]
  104. World Health Organiztion (2005). Coronavirus disease (COVID-19): post COVID-19 condition. Available online at: https://www.who.int/news-room/questions-and-answers/item/coronavirus-disease-(covid-19)-post-covid-19-condition.
  105. World Health Organiztion (2006). COVID-19 pandemic triggers a 25% increase in the prevalence of anxiety and depression worldwide. Available online at: https://www.who.int/news/item/02-03-2022-covid-19-pandemic-triggers-25-increase-in-prevalence-of-anxiety-and-depression-worldwide.
  106. Yang C. H., Lv J. J., Kong X. M., Chu F., Li Z. B., Lu W., et al. (2024). Global, regional and national burdens of depression in adolescents and young adults aged 10-24 years, from 1990 to 2019: findings from the 2019 Global Burden of Disease study. Br. J. Psychiatry 225 (2), 311–320. 10.1192/bjp.2024.69 [DOI] [PubMed] [Google Scholar]
  107. Yao R., Wang H., Yuan M., Wang G., Wu C. (2020). Efficacy and safety of riluzole for depressive disorder: a systematic review and meta-analysis of randomized placebo-controlled trials. Psychiatry Res. 284, 112750. 10.1016/j.psychres.2020.112750 [DOI] [PubMed] [Google Scholar]
  108. Zhang J., He J., Hu J., Ji Y., Lou Z. (2025). Exploring the role of gut microbiota in depression: pathogenesis and therapeutic insights. Asian J. Psychiatr. 105, 104411. 10.1016/j.ajp.2025.104411 [DOI] [PubMed] [Google Scholar]
  109. Zhao T., Liu T., Wang L., Xie K., Tang H., Tang M. (2024). Dysfunction of neurotransmitter metabolism is associated with the severity of depression in first-diagnosed, drug-naïve depressed patients. J. Affect Disord. 349, 332–341. 10.1016/j.jad.2024.01.023 [DOI] [PubMed] [Google Scholar]
  110. Zheng C., Zhang Y., Ding Y. Q., Jin Y., Xu L., Zhang Z., et al. (2021). Early-life inflammation promotes depressive symptoms in adolescence via microglial engulfment of dendritic spines. Neuron 109 (16), 2573–2589.e9. 10.1016/j.neuron.2021.06.012 [DOI] [PubMed] [Google Scholar]
  111. Zhou J., Zhang Y., He S., Xu S., Sun Q., Zhao T., et al. (2025). Accelerated global burden of depressive disorders during the COVID-19 pandemic from 2019 to 2021. Sci. Rep. 15 (1), 9529. 10.1038/s41598-025-93923-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  112. Zhou X., Teng T., Zhang Y., Del Giovane C., Furukawa T. A., Weisz J. R., et al. (2020). Comparative efficacy and acceptability of antidepressants, psychotherapies, and their combination for acute treatment of children and adolescents with depressive disorder: a systematic review and network meta-analysis. Lancet Psychiatry 7 (7), 581–601. 10.1016/S2215-0366(20)30137-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  113. Zhu F., Yang Y., Yin T., Pan M. S., Xu J. M., Chen R. C., et al. (2025). The Burden of adolescent depression and the impact of COVID-19 across 204 countries and regions from 1990 to 2021: results from the 2021 global burden of disease study. Sci. Rep. 15 (1), 5658. 10.1038/s41598-024-84843-w [DOI] [PMC free article] [PubMed] [Google Scholar]

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