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Abstract

Adolescents often present to treatment with multiple psychiatric diagnoses. The presence of certain co-occurring mental health conditions can significantly affect an individual’s treatment course. Adolescence is also a time of developmentally appropriate risk taking and experimenting with novel behaviors. Difficulties in accurate diagnosis and lack of effective treatment options create obstacles to helping this vulnerable patient population. Appropriate management of adolescents’ complex symptoms and high-risk behaviors during a developmentally sensitive period can be challenging, even for the most skilled of clinicians. This article focuses on the assessment and management of complex, co-occurring psychiatric disorders during adolescence, with specific guidance on how to manage high-risk behaviors, such as self-harm and suicidality. Controversial topics, including antidepressants and youth suicide risk, as well as “off-label” use of mood stabilizers and antipsychotics, are also reviewed.

Clinical Context

Mary is a 17-year-old female with a history of major depressive disorder, trauma, attention-deficit hyperactivity disorder (ADHD), and fluctuant mood symptoms that began during puberty. She is presenting for her second inpatient psychiatric hospitalization after a recent suicide attempt. Her first hospitalization occurred at age 15, after discovery of self-injurious behavior in the context of chronic hopelessness. She also engages in regular cannabis use and episodic binge drinking. While on the unit, she demonstrates dysregulated eating behaviors and discloses a history of unprotected sex.

Background

An estimated 13.4% of children and adolescents worldwide have a diagnosed psychiatric disorder (1). Disenfranchised youths experience psychiatric conditions at even higher rates, which reach 49% within the child welfare system (2). Co-occurring psychiatric illness is also common in youths (3). Nearly two thirds of adolescents with unipolar depression also have one or more co-occurring disorders (4). High rates of co-occurring illness during adolescence can have a negative effect on expected functioning. Lower scholastic achievement, decreased college attendance and graduation rates (5, 6), higher rates of substance use, more severe social and family dysfunction, legal difficulties, suicidal behavior, and parental substance use disorder and psychopathology (7) have all been correlated with youths who are afflicted by two or more psychiatric disorders during adolescence.

The presence of certain co-occurring mental health conditions can also significantly affect an individual’s treatment course. For example, co-occurring externalizing disorders, such as conduct disorder and ADHD, have been found to lengthen the course of persistent depressive disorder (dysthymia) by up to 2.5 additional years (8). Psychiatric disorders such as depressive disorder, bipolar disorder, ADHD, and substance use disorder may exacerbate emotion dysregulation and impulsivity, resulting in an increase in risk taking, such as sexual risk behaviors, disordered eating, and reckless driving.

Despite the associated negative outcomes, psychiatric illness during adolescence is often underdiagnosed or misdiagnosed. Many psychiatric disorders are still emerging during adolescence and may present with ambiguous and overlapping symptoms. For example, depression in adolescence often presents with irritability, emotional reactivity, and behavioral dysregulation. This constellation of symptoms may be observed with a number of different psychiatric conditions, including bipolar disorder and anxiety disorders, and may be a result of trauma or substance use. Appropriate management of adolescents with complex symptoms during a developmentally sensitive time period can be challenging for even the most skilled clinicians. This paper focuses on the assessment and management of complex, co-occurring psychiatric disorders during adolescence and offers specific guidance on how to manage high-risk behaviors, such as self-harm and suicidality. Ultimately, no single treatment for co-occurring disorders exists, and many of our current treatment algorithms lack a strong evidence base. Treatment plans must be specifically tailored to the individual and, in many cases, the needs of the family. Utilizing new technologies may facilitate research and the development of new treatment approaches for this challenging patient population.

High-Risk Behaviors

Adolescence is a time of developmentally appropriate risk taking and experimenting with novel behaviors. Risky behaviors in youths may stem from emotional dysregulation, impulsivity, a lack of effective coping skills, or a combination of these factors. In the context of psychiatric illness, these behaviors can influence the course of treatment and result in significant safety concerns.

The neurodevelopmental stage of this age group is an inherently predisposing condition in evaluating risk. Protracted maturation of the prefrontal cortex and parietal regions occurs throughout adolescence. Until this process is complete, impulsivity and poor decision making can be expected, exemplified by the patterns of drug experimentation, accidental injuries, car accidents, and risky sexual behaviors long attributed to this age group (9). Two specific types of impulsivity—acting without thinking and sensation seeking—are linked to early problem and risky behaviors (9). Sensation-seeking behaviors increase in adolescence, encouraging young people to venture outside the family, explore new experiences with peers, and select mates. Adolescents attach favorable affect to these novel experiences and seek out peers with the same interests. This peer effect magnifies the attraction to novel, and sometimes dangerous, behaviors such as drug use or engaging in sexual activity (9). Evidence suggests that youths who engage in early risk-taking behaviors, such as aggressive behavior and drug use, exhibit higher levels of impulsive behavior as early as age 3 (9).

Negative early life experiences can also increase the likelihood of adolescent risk-taking behavior. The Centers for Disease Control and Prevention (CDC) Adverse Childhood Experiences Study demonstrates that exposure to childhood stressors predicts more risk taking in adolescence. Childhood experiences of abuse or neglect, parental substance use, and domestic violence have all been linked to adverse adolescent outcomes, including drug use, addiction, and suicide. For girls, childhood sexual abuse is associated with earlier sexual experiences and unintended pregnancy (9).

Substance Use

Adolescents with psychiatric disorders are at increased risk of earlier initiation of substance use, development of regular use, and progression to a substance use disorder (1012). Psychiatric comorbidity among adolescents with substance use disorder ranges from 61% to 88%, with notably higher rates of externalizing disorders, including ADHD and conduct disorder (7). Estimates from the National Survey of Drug Use and Health indicate that about a quarter (23.9%) of all adolescents ages 12–17 have used an illicit drug within their lifetime (13). Cannabis is the most prevalent substance used (14.4%), followed by inhalants (8.0%). More than one in four adolescents have used alcohol (26.3%), and one in 10 (13.4%) have used tobacco in their lifetime (13). Electronic vaporizing, or “vaping” of nicotine and other substances is also a relatively new but endemic behavior within the United States. Almost 16% of high school seniors report they have vaped over the past month, with the rates being twice as high for boys than for girls (14). Teens who use vaping devices are also more than twice as likely to progress to traditional tobacco use; in addition, there have been recent reports of an elevated seizure risk and other serious adverse health consequences, including pulmonary damage, that are not yet fully understood. Substance use engenders other high-risk behaviors among adolescents, such as driving under the influence and engaging in unprotected sex. Approximately 16% of adolescents have ridden in a vehicle with someone who had been drinking, and 13% of U.S. high schoolers reported they had driven while under the influence of cannabis over the past month (15). Adolescents who use substances are also more likely to engage in unprotected sex (16), and among the 28.8% of adolescents who report being currently sexually active, more than half were under the influence of alcohol or other substances before they last engaged in sexual intercourse (15).

Disordered Eating

Disordered eating and maladaptive compensatory behavior for weight management is estimated to be present for as many as 12% of female adolescents by the age of 20 (17). Eating disorders are strongly associated with negative health behaviors such as substance use and self-harm, as well as co-occurring disorders of anxiety and depression (18). Those with binge-purge types of eating disorders are particularly susceptible to drug use and self-harm (18). Most adolescents with an eating disorder meet criteria for at least one co-occurring disorder (19). The presence of disordered eating can often serve as a proxy for other co-occurring disorders and vice versa. Among adolescent females, depression has been shown to predict subsequent eating pathology (19). Additionally, comorbidity increases the severity of symptoms and makes treatment less effective, with greater rates of attrition and decreased treatment gains after therapy.

The peak onset for eating disorders is in adolescence, affecting about 1 in 10 adolescent females. Eating disorders among adolescents are predictive of adverse mental health outcomes, with higher rates of depression, anxiety, substance use, and self-harm (18). Adolescent girls with purging-type eating disorders are more likely to develop substance use disorders, depression, and self-harm behaviors (18, 20). Multiple risk factors, including family history, history of trauma, and dysregulated or impulsive personality types, have been identified as reasons for these associations (21). Disordered eating behaviors in adolescent patients often serve as a means of both self-harm and affect regulation, with binging relieving negative emotions and purging decreasing feelings of anxiety or anger (22).

Sexual Behaviors

Over half of all adolescents in the United States (55%) are sexually active by the age of 18 (23). According to the latest statistics from the CDC, about a third of high school teens endorsed being sexually active in the past month; however, almost half (46%) reported they did not use a condom during their last sexual encounter. Additionally, 14% reported not using any contraception, and 19% said they had consumed drugs or alcohol before the last time they had sexual intercourse (15). Unprotected sex and sex under the influence of substances can lead to significant health consequences. Close to 50% of new diagnoses of sexually transmitted infections (STIs) disproportionately occur in 15- to 24-year-olds (24). Additionally, positive correlations between risky behaviors and depressive symptoms have been found in adolescents (25). In turn, depressive symptoms are also predictive of engagement in sexually risky behaviors among adolescents and young adults (25, 26), and the severity of depressive symptoms may also quadruple the likelihood of developing an STI (27). Screening for high-risk sexual practices should therefore be a standard part of any examination of adolescents or transition-age youths and can often lead to additional information and questioning with regard to an adolescent’s overall mental health.

Suicide and Self-Harm

Youth suicide prevention is a matter of grave importance for mental health clinicians. Suicide rates for youths ages 15–24 have been increasing steadily since 2013, and suicide is now the second leading cause of death for adolescents ages 15–19 (28, 29). In addition to the medical risks inherently associated with self-harming behaviors, self-injury is a significant predictor of future suicide attempts (30). Suicidal ideation and self-harm have been consistently identified as significant risk factors for future suicide attempts and suicide completion (31). Approximately 30% of adolescents who experience ideation will go on to make a suicide attempt (32).

Although there is a well-established and strong association in the literature between youths who are depressed and suicidal behaviors (33, 34), suicide risk also transcends well beyond a specific diagnosis or set of co-occurring disorders. See Table 1 for a summary of the most common risk factors associated with suicide in youths. Certain risk factors have been associated with suicidal ideation, whereas others are more likely to increase the risk of a suicide attempt (35).

TABLE 1. Risk factors for suicidal behavior among adolescentsa

Risk factor for suicidal ideationRisk factors for suicide attemptsRisk factors for suicide completion
Presence of a mood disorderSuicidal ideationbFirearms in the homeb
Self-harmSelf-harmb
HopelessnessSubstance use (including cannabis use)b
Minority sexual or gender statusEnvironmental exposure to self-harm
PsychosisFamily history of suicide
MalesSuicide capabilityb
Media exposure to suicideImpulsivity
Bullying (victim or perpetrator)Excessive use of internet or social media
Excessive use of internet or social media
Parental mental illness

aAdapted from Mars et al. (37) and Shain (49).

bRisk factors most significantly associated with suicide attempts by adolescents.

TABLE 1. Risk factors for suicidal behavior among adolescentsa

Enlarge table

Recent research has focused on the subset of youths with the highest risk of acting on their reported suicidal ideation. Interestingly, suicide capability, or the belief that one would be able to carry out an intended plan of action, was cited in one recent review as the factor most consistent with predicting a future suicide attempt by youths with existing ideation (36). A large longitudinal study of youths within the United Kingdom published earlier this year demonstrated that the risk factors most likely to predict a future suicide attempt in a cohort of 16-year-olds include a history of self-harm, cannabis use, other illicit drug use, and exposure to self-harm in others (37). Substance use seems to be a catalyst for teens with existing depression and ideation and should raise significant concern, if endorsed.

Identifying and appropriately assessing a patient’s risk for suicide can be a daunting task for the pediatric clinician. Overall suicide risk is composed of both dynamic and static factors, with potential changes or shifts occurring over time for individual patients (38). Some risk factors are considered fixed, such as gender or sexual orientation, whereas others are dynamic. Many of the known risk factors associated with youth suicide—including depression, hopelessness, and impulsivity—are also common and nonspecific within the adolescent population. Not all youths with depression will attempt suicide. Further, the presence of multiple risk factors may hold different weighted values, depending on the individual and the context. A depressed teenager may have a family history of suicide but no current ideation or history of suicide attempt or self-harm, indicating a lower relative risk. Conversely, a depressed teenager with one prior suicide attempt and a family history of suicide might be considered to have an acutely high risk if he or she reports intermittent suicidal ideation. Appropriate interpretation of risk can be challenging for this reason and relies on a cross-sectional analysis of foreseeable risk for a given young person, at a given point in time.

It may be helpful to break down these identifiable components into a formulaic framework (Figure 1) that can serve as a methodical means for clinicians to qualitatively consider a given patient’s safety risk. The framework of an equation implies a mental separation of the dynamic and static risk factors but also considers them additively, with protective factors being a mitigating variable. The equation is meant to represent a single cross-sectional assessment and should be reassessed over the course of treatment, thus allowing for dynamic change in the overall suicide risk for a given individual over time. It should be mentioned that although this framework assists in identifying adolescents or young adults with an elevated risk of suicide, exact calculations of clinical suicide risk are unattainable with our current diagnostic knowledge base. All reports of suicidal ideation, self-harm, and previous attempts must be considered serious.

FIGURE 1.

FIGURE 1. Suicide assessment formula

Treatment Strategies and Evidence

Assessment

A comprehensive psychiatric assessment is important for adolescent patients because undetected psychopathology could be harmful. Given the rates of comorbid conditions, thorough screening for mood disorders, substance use disorders, eating disorders, conduct disorders, ADHD, and anxiety disorders is necessary. Youths who meet diagnostic criteria for conduct disorder may not be adequately assessed for mood disturbance or suicide risk, because their symptoms may be viewed as primarily behaviorally based. Conversely, youths who present as depressed should be assessed for conduct symptoms, given that this comorbidity increases their suicide risk (39). Early and adequate detection of substance use disorder and comorbid psychopathology in youths may allow for intervention before substance use, other psychiatric disorders, and negative legal and academic consequences progress. Substance use difficulties are often diagnosed too late or go undetected (7).

On a routine psychiatric interview, a self-harm assessment often focuses on self-injury, such as cutting or burning, but other forms of self-harm among adolescents also merit screening. Especially with consideration of young patients, it may be appropriate to expand the umbrella of self-harm to include behaviors that are reckless and impulsive, often termed emotional dysregulation. It is important to assess the degree of emotional dysregulation that a patient is experiencing and ascertain what functional and dysfunctional (maladaptive) behaviors a patient is using to manage emotions. Emotional dysregulation can lead to potentially dangerous impulsive behaviors, including risky sexual practices, reckless driving, or drug use (40). Dysregulation can be assessed clinically or by using an assessment tool such as the Difficulties in Emotion Regulation Scale (DERS). In the context of eating disorder treatment, for example, symptoms of eating disorders have been shown to significantly correlate with emotional dysregulation on the DERS, and higher DERS scores predicted maintenance of anorexia nervosa psychopathology over time (41).

Another useful tool for adolescent assessment is the Structural Analysis of Social Behavior (SASB), a model of self-image based on interpersonal theory that considers both state and trait aspects of self-image. The SASB assesses stability of self-image related to relationships as well as variability in response to current stressors (41). Patients with an eating disorder have been shown to have more negative self-image; additionally, self-image is associated with suicidal behavior of patients with an eating disorder (41).

Treatment Approaches

In considering options to address risk-taking behaviors of adolescents, it is valuable to consider preventive approaches as well as treatment modalities. Some of these adolescent traits and behavioral patterns are set in motion before adolescence; thus, early intervention and education programs are of key importance as early as infancy. Studies show that nurse visitation programs targeting high-risk parents allow them to cope better with stress and reduce the risk of passing stress on to children. Children of parents in these programs performed better in school, had fewer psychiatric symptoms, and had lower rates of conduct disorder. Preschool-age and elementary school–age children can also benefit from early intervention programs that focus on executive functioning and self-regulation skills. Such programs have been shown to effectively reduce impulsive tendencies, which could carry forward to improve outcomes in adolescence (9).

Psychiatric treatment and community interventions for adolescents are also useful in reducing risk behavior. Because adolescents differ developmentally, including in their value of affiliation and autonomy as well as their ability to process rewards (42), approaches to prevention and addressing risk-taking behaviors should be developmentally tailored. Motivational interviewing (MI), a collaborative, patient-centered approach, has been shown to be effective in reducing substance use by young patients. A small number of studies have also suggested that it can be helpful in reducing rates of teen pregnancy and sexual risk-taking behaviors in vulnerable populations (43). Both in MI and other interventions, psychoeducation serves an important purpose. On a larger scale, psychoeducation via the media has been shown to be effective. According to the Monitoring the Future Study, one of the best predictors of drug use is the perception that drugs are dangerous to one’s health (9). There is strong evidence that media campaigns have decreased the number of tobacco users and have helped reduce youth initiation and smoking (44). Graduated driver programs (after about 1,000 miles of driving experience) for adolescents have been shown to lead to a significant reduction in motor vehicle crashes (9). The strategy of graduated licensing has also been adopted by several states. Adolescents do not receive full licenses until they pass a trial period, during which they cannot drive at night and must drive with an adult. This leads to reduced rates of motor vehicle accidents and serious injuries.

Involving family members in care can facilitate improvement across different outcomes, including substance use, medication adherence, and treatment attendance (45, 46). Several evidence-based treatment modalities integrate family into care. The level of family involvement varies between modalities, ranging from being exclusively family focused to family members and caregivers participating in individual work through the development of contingency management plans, medication-monitoring practices, meal plans, and safety checks. One specific example is the Adolescent Community Reinforcement Approach (A-CRA) (47), a community-based weekly behavioral intervention for adolescents with substance use. A-CRA implements a medication-monitoring procedure that alleviates conflict around taking medication, identifies barriers to adherence, and creates a plan for medication administration.

Unfortunately, confidentiality and the logistics of disclosure can be challenging when involving family in an adolescent’s care. Serious acute safety concerns that would necessitate a breach of confidentiality are often readily identified in the pediatric population. Other forms of risk taking, such as high-risk sexual encounters, may be more ambiguous and should be assessed on a case-by-case basis (see Sexual Behaviors section). Entering a vehicle with a driver who is intoxicated or high (including cannabis use) presents a safety concern, and the behavior should be included in safety screens.

Suicide and Self-Harm

After a suicide assessment, for youths who demonstrate an acute risk (those who report current suicidal ideation with a plan or intent to act or who have current ideation along with self-harm or substance use), inpatient psychiatric hospitalization may be most appropriate. For adolescents at elevated risk but who do not pose an acute danger (those who deny either intent or a plan to act on suicidal ideation and who do not have co-occurring risky behaviors), a higher level of care in the form of acute residential treatment or partial hospitalization may be most appropriate. Means reduction has also been shown consistently to reduce the risk of suicide (48) and is something that can be discussed during a brief outpatient office visit or within an emergency room setting. The presence of firearms in the home is associated with a higher risk of completed suicides within the adolescent population, regardless of whether the weapon is loaded (49). However, securing any unlocked firearms and removing the firearm from the home have been shown to reduce the risk of youth shootings and potential death (49) and should be explicitly discussed with parents and adolescents. Youths who are depressed also appear to be more vulnerable to social media exposure (50). It is important to consider recommending a reduction in the frequency of social media and Internet use when adolescents are found to be at elevated risk of suicide.

A significant proportion of adolescents who are hospitalized for suicidal ideation or serious attempts remain at high risk in the months (and often years) after discharge (51). There is some evidence suggesting that there are several heterogenous trajectories that adolescents presenting with suicidality can follow posthospitalization. Youths who display and report persistent ideation throughout their hospitalization and after discharge represent the most vulnerable group in terms of future morbidity and attempts (52). Most of these adolescents will necessitate continued intervention. Longer-term residential treatment programming within a contained and monitored setting is often not possible, given that most commercial insurance companies within the United States do not reimburse for such programs. An inadvertent consequence to this is often serial inpatient hospitalizations for short periods. It is important to consider the potential iatrogenic risks posed with frequent hospitalization, given the effect that institutionalization can have on social and emotional development.

To date, there have been no randomized controlled trials investigating pharmacological treatments for suicidal behavior of youths. Instead, therapeutic intervention for youths with suicidal ideation, suicidal behaviors, and self-harm has focused primarily on skills-based models of care. The treatment models with the most significant effect sizes have been dialectical behavior therapy, cognitive-behavioral therapy (CBT), and mentalization-based therapy (53). Most interventions demonstrating a positive effect also include a robust family component (53). Recent longitudinal studies have demonstrated a suicide risk reduction in mortality for adolescents who took part in a social support intervention called a Youth-Nominated Support Team, with adolescents identifying two to three caring adults in their life to provide phone support posthospitalization for 3 months. The intervention group was associated with a reduced rate of mortality over a period of 11–14 years posthospitalization (54).

Substance Use

Despite a high co-occurring rate of substance use and mood symptoms among adolescents, a study by Mark et al. (55) found that only half (50.2%) of adolescent substance use treatment facilities offered specialized programming for dually diagnosed individuals. Patients with dual diagnoses can be challenging to treat and may have higher rates of relapse. Adolescents with substance use disorders and externalizing disorders have high relapse rates after treatment, likely because of sensation seeking and behavioral disinhibition, which are characteristics of these disorders and the developmental stage (7). All adolescents with psychiatric complaints should be screened for substance use. Two commonly used tools include the CRAFFT (56) and the S2BI (Screening to Brief Intervention) (57). The S2BI can be found online (58) and takes less than two minutes to complete.

Response to CBT in the reduction of substance use in patient populations with co-occurring depression and substance use has also been mixed. However, it has demonstrated effectiveness in the reduction of depression symptoms (42, 59, 60). A randomized controlled trial by Esposito-Smythers et al. (60) examined the use of integrated CBT (I-CBT) for adolescents with co-occurring substance use disorder and suicidality. The study found a reduction in the Behavioral Assessment Scale for Children–Depression scores in addition to suicide attempts at the 18-month follow-up. In addition, participants also had a reduction of heavy drinking days and days of cannabis use. Family-focused therapy (Risk Reduction Through Family Therapy) has also demonstrated positive findings in the reduction of depression symptoms as measured on the Child Depression Inventory–2 as well as of days of substance use when compared with treatment as usual among adolescents exposed to sexual trauma (61).

Medication studies of co-occurring depression and substance use have had variable outcomes. Most of these studies have focused on the use of sertraline or fluoxetine and have provided some evidence for management of depressive symptoms but no significant effect on substance use (42). One of the largest medication studies in this patient population was conducted by Riggs et al. (62). This study examined the effects of pharmacological treatment (fluoxetine) of adolescents ages 13–19 (N=126) with major depressive disorder, lifetime conduct disorder, and at least one substance use disorder (excluding tobacco). Participants were randomly assigned to fluoxetine (20 mg/day) and CBT versus placebo and CBT. The fluoxetine-CBT group demonstrated greater efficacy as reflected in performance on the Childhood Depression Rating Scale–Revised but not the Clinical Global Impression Improvement ratings. There were no significant differences in substance use between groups. However, the authors recommend initiation of fluoxetine early in treatment if depressive symptoms do not respond to therapy. N-acetylcysteine is an over-the-counter antioxidant that has demonstrated efficacy in the treatment of cannabis use by adolescents. In a study by Gray et al. (63), individuals with cannabis use disorder were more than twice as likely (odds ratio [OR]=2.4) to submit a negative urine drug screen for tetrahydrocannabinol as those who received placebo in combination with contingency management.

Disordered Eating

Given the prevalence of co-occurring disordered eating, eating disorders prevention programs are another potential means of intervention. Both dissonance-based programs that challenge the thin-ideal internalization as well as healthy lifestyle programs that focus on diet and exercise have shown promise in preventing these disorders in adolescence. Studies suggest that such programs should be in place before ninth grade (19).

Unfortunately, many treatment programs do not adequately screen for eating disorders. Only 51% of addiction treatment programs screen for symptoms, and patients with comorbid substance use and eating disorders generally do not receive eating disorder treatment (64). In assessing appropriate treatment options for patients with an eating disorder, it is helpful to use a standard set of guidelines. The American Psychiatric Association (APA) 2006 treatment guidelines for eating disorders (65) are useful in reviewing relevant symptoms, such as medical status, suicidality, weight, motivation, co-occurring disorders, need for structure, ability to control compulsive exercising, and purging, and in using the degree of symptom severity to determine the appropriate level of care from outpatient to inpatient hospitalization. In the outpatient setting, it is best to refer patients to an eating disorder treatment team when available. These specialized teams comprise a dietician, therapist, family therapist, psychiatrist, and primary care physician. As disordered eating symptoms are addressed, other self-destructive behaviors, such as substance use or self-harm, may surface or worsen. Psychoeducation regarding emotion regulation and healthy coping skills is critical for patients with eating disorders.

One efficient and effective screening tool for the assessment of eating disorders can be remembered by using the mnemonic “SCOFF,” which stands for sick, control, one stone (14 pounds), fat, and food. However, it is important to note that this tool (Figure 2) (66) is validated only for identifying adults with eating disorders.

FIGURE 2.

FIGURE 2. The SCOFF Questionnairea

aIf a patient scores 2 or more on the SCOFF screening, more comprehensive screening with the Eating Disorder Examination Questionnaire can be performed.

Sexual Behaviors

In targeting sexual behaviors, outcomes of unintended pregnancy and STI are primary targets for risk reduction. Americans aged 15–24 make up 27% of the new sexually active population but account for 50% of the 50 million new STIs each year (67). Psychoeducation about sexual health is of great importance, as well as practical measures such as recommending and offering routine STI testing, pregnancy testing, and HIV screening and repeat screening after unprotected sexual activity.

Annual HIV testing should be completed for any individuals who are having unsafe sex or sharing injection drug equipment. Additionally, any women who are under 25 should be tested for gonorrhea and chlamydia annually (68). The adolescent’s age, sexual partner(s), and use of substances while engaging in sexual activity should help to stratify risk and identify whether the adolescent can provide consent. State laws differ by age of consent and often consider the age of the sexual partner(s). Trauma-informed gynecologic exams should be provided when available to any survivor of sexual and gender-based violence (69).

Questions and Controversy

Prescribing Antidepressants for Youths With Depression and Risk of Suicidality

After a black box warning from the U.S. Food and Drug Administration (FDA) was issued in 2004, the prescribing of antidepressants within the adolescent and young adult population has been somewhat controversial. This warning alerted health care professionals to the potential for an increased risk of suicidal thinking and behavior in children and adolescents ages 10–24. Although the subsequent studies and analyses conducted demonstrated only a modest increase in the risk of suicidal ideation or behavior (0.7%), there was a dramatic decline in the number of SSRI (selective serotonin reuptake inhibitor) prescriptions in the subsequent years (70, 71). Unfortunately, a parallel increase in the prevalence of suicide in youths within the United States has been observed (72). The prescribing of any medication within the pediatric population is not without risk, and all prescribing practices should take into account the risks of prescribing (with a detailed informed consent process being discussed with parents that includes the possible risk of suicidal ideation and related behaviors) versus the potential benefits. However, given that, on the whole, the risk of no treatment for youths with depression may be more significant than the risk of treatment with an SSRI and psychotherapy, psychiatrists should continue to consider SSRI medications as first-line treatment for youths with depression.

Use of Off-Label Antipsychotics for Youths

With the subsequent decline in SSRI prescriptions for youths, there has been a parallel increase in the rate of prescribing (mostly second-generation) antipsychotics to adolescents and young adults (73). The prescribing of antipsychotics can be used for any number of symptom-based ailments of youths, including poor sleep, psychosis, agitation or aggression, mood instability, and treatment-resistant depressive symptoms. However, it is important to note that current research demonstrates efficacy in only a few clinical circumstances, including bipolar mania, early-onset schizophrenia, and acute agitation of youths diagnosed as being on the autism disorder spectrum (73, 74). With the advent of increased prescribing of antipsychotic medications to youths, new research is also highlighting the vulnerability that youths display with regard to adverse effects. Adolescents appear to be more vulnerable to the potential cardiometabolic side effects, such as weight gain and hyperlipidemia, compared with the adult population (75). There is also some evidence that children, adolescents, and young adults (up to age 20) who are co-prescribed a second-generation antipsychotic as well as an SSRI or SNRI (serotonin-norepinephrine reuptake inhibitor) antidepressant are at increased risk of type II diabetes (76). Given the potential for numerous adverse medical consequences from even short-term use of second-generation antipsychotics, it is essential to ground prescribing practices within a diagnostic framework, whenever possible and to carefully balance the possible benefits with the known risks. Consider the indications for prescribing based on the diagnosis, such as concern for acute mania in an adolescent with a decreased need for sleep, increased energy, elevated mood, and paranoid thinking, rather than considering a prominent symptom or behavior as a justification for short-term medication use.

Use of Mood Stabilizers for Youths

The label mood stabilizers comprises a diverse class of medications, most of which are also considered antiepileptics, with varied demonstrated efficacies within psychiatry. Lithium is considered first-line treatment of both mania and the maintenance phase of bipolar disorder of youths and is the only FDA-approved mood stabilizer, to date, for adolescents ages 12–17. However, there are relatively few studies demonstrating its efficacy in youths (77). Antiepileptics, such as valproic acid and lamotrigine, have been more extensively studied, although the trials have tended to be small and unblinded (77). Lamotrigine has less demonstrated efficacy for the treatment of acute mania but may be considered for mixed episodes or depressive episodes. As with antipsychotics, it is important to consider the long- and short-term side effects of these medications as well as the potential that mood stabilizers may serve as a life-saving treatment for many youths with bipolar illness. Weight gain, thyroid abnormalities, and alopecia are known side effects of lithium use. There is also a theoretical risk for overdose, given its narrow therapeutic index, despite its having also been found in studies of adults to reduce the risk of suicide. There is also the potential for a life-threatening rash with lamotrigine. Valproic acid, although an effective treatment for acute mania in youths, should not be used in young females of reproductive age who may be at risk of pregnancy as well as having coexisting polycystic ovarian syndrome.

Case Discussion

In addition to having major depressive disorder, Mary has a history of several high-risk behaviors, including substance use, disordered eating, and unprotected sexual activity. The elevated level of impulsivity found in Mary’s age group may be further exacerbated by her ADHD and trauma history. She also has a history of self-harm and a previous suicide attempt, which places her in a high-risk category for future harm-related events. After acute stabilization of suicidal ideation, Mary will require a concrete safety plan that includes removal of lethal means or weapons and oversight of social media usage. Given her history of major depressive disorder, antidepressant medication is likely indicated. Close monitoring of her SSRI in conjunction with the FDA’s black box warning should be worked into a longitudinal medication treatment plan. Mary’s family can also be involved through developing a tailored contingency management plan around substance use and treatment engagement. N-acetylcysteine may also facilitate ongoing abstinence from cannabis. For treatment of ADHD, consider using a long-acting stimulant medication that is closely monitored by parents and her outpatient physician. Options around contraception and STI testing should be discussed before discharge. Consequences of risky sexual behaviors can be minimized by using contraception, barrier methods, and testing for STIs regularly. Given her trauma history, Mary may be an ideal candidate for a trauma-informed gynecologic exam.

Recommendations

Screen for Co-occurring Disorders

All patients presenting for substance use or other psychiatric symptoms or disorders should be screened for co-occurring conditions. Screening tools such as the CRAFFT and the S2BI can be used to screen for use of a wide range of substances in various treatment settings. Co-occurring disordered eating can be easily overlooked in other forms of specialized treatment settings (e.g., substance use disorder treatment facilities). Comprehensive screeners like SCOFF or the Eating Disorder Examination Questionnaire can help to identify these patients so that they receive appropriate, tailored treatment interventions. When determining the level of treatment, use the APA treatment guidelines to understand severity and scope of symptomatology.

Understand Dynamic and Static Risk Factors for Youth Suicide

Many of the known risk factors found to be associated with youth suicide—including depression, hopelessness, and impulsivity—are also common and nonspecific within the adolescent population. Assessment of dynamic and static risk factors, as well as protective factors, should represent a single cross-sectional assessment and be repeated or re-evaluated over the course of treatment.

Reduce Access to Means for Suicide Completion

Suicide capability, or the belief that one would be able to carry out an intended plan of action, has been cited as a major risk factor in future suicide attempt in youths with existing suicidal ideation. Means reduction should be a strong focus in safety planning and can be discussed during a brief outpatient office visit or within an emergency room setting.

Monitor Social Media Usage by Youths at Risk for Suicide

Youths who are depressed also appear to be more vulnerable to social media exposure. It is important to consider recommending a reduction in the frequency of social media and Internet use when adolescents are found to be at elevated risk of suicide.

Treat Mood Symptoms and Substance Use Concurrently

Therapy (including CBT) should be considered a firstline treatment for adolescents with concurrent mood symptoms and substance use. The use of sertraline and fluoxetine have provided some evidence for management of depressive symptoms but no significant effect on substance use. Substance use should be targeted with additional interventions, including MI, CBT, and family-focused therapies.

Create Treatment Teams and Psychoeducational Practices for Patients With Disordered Eating

Outpatient treatment teams consisting of a dietician, therapist, family therapist, psychiatrist, and a primary care physician offer a comprehensive approach to eating disorders treatment. These programs should touch on preventing co-occurring issues in patients with disordered eating, such as self-harm and substance use behaviors, that surface or worsen during care. By encouraging emotion regulation and healthy coping skills, clinicians can mitigate the risk of additional self-destructive behaviors of individuals with disordered eating.

Offer Sexual Health Psychoeducation and Regular STI Screening to Adolescents

Psychoeducation on healthy sexual behaviors and regular STI screening should be offered to adolescents to reduce the spread of STIs and the incidence of unwanted pregnancy. Yearly gonorrhea and chlamydia testing should be implemented in all women under the age of 25. Annual HIV testing should be offered for those who engage in unsafe sex or individuals with a history of sharing injection drug equipment.

Future Directions

With rising rates of adolescent self-harm and suicide, there is a significant need for clinicians to be able to identify and treat high-risk patients. There is also a dire need to develop prevention programming that targets high-risk subgroups, such as adolescents with pre-existing psychiatric disorders, to reduce rates of disordered eating, substance use, self-harm, and other maladaptive behaviors. Despite the lack of conclusive long-term evidence about the potential harms related to new drug trends such as vaping, clinicians should closely monitor these practices among adolescents and provide education about potential addictive and medical risks. Psychiatrists have the opportunity to advocate for universal screening of adolescents even before the youths are identified as high risk, such as in school-based settings and primary care offices.

Although several diagnostic tools are discussed in the literature, their use and evidence base among adolescents are often limited. There is lack of consensus on how to approach treatment of adolescents with co-occurring conditions and high-risk behaviors. Behavioral therapies, with and without family therapy, remain a mainstay of treatment in this population. Medication strategies have presented with mixed data for treating co-occurring disorders such as substance use and disordered eating. The use of repetitive transcranial magnetic stimulation in adolescents has demonstrated some benefit in reduction of depressive symptoms; however, its data on treating co-occurring disorders are limited (78). There are few known side effects, and it is relatively well-tolerated in this population (78).

A better understanding of risk and protective factors in high-risk behaviors, as well as suicide and self-harm, would allow for optimization of individualized treatment strategies. Further development and implementation of existing standardized tools for risk stratification in this patient population are necessary. Identification and focus on treatment predictors, such as environmental, demographic, and other individual-level factors, would allow for more tailored treatment approaches.

Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta (Welsh and Mataczynski); Adolescent Acute Residential Treatment, McLean Hospital, Harvard Medical School, Belmont, Massachusetts (Sarvey); Yale New Haven Psychiatric Hospital, Yale School of Medicine, New Haven, Connecticut (Zoltani).
Send correspondence to Dr. Welsh ().

Dr. Welsh has received consulting fees from Analgesic Solutions and training fees from Chestnut Health Systems. The other authors report no financial relationships with commercial interests.

References

1 Polanczyk GV, Salum GA, Sugaya LS, et al.: Annual research review: a meta-analysis of the worldwide prevalence of mental disorders in children and adolescents. J Child Psychol Psychiatry 2015; 56:345–365CrossrefGoogle Scholar

2 Bronsard G, Alessandrini M, Fond G, et al.: The prevalence of mental disorders among children and adolescents in the child welfare system. Medicine (Baltimore) 2016; 95:e2622CrossrefGoogle Scholar

3 Essau CA, de la Torre-Luque A: Comorbidity profile of mental disorders among adolescents: a latent class analysis. Psychiatry Res 2019; 278:228–234CrossrefGoogle Scholar

4 Ford T, Goodman R, Meltzer H: The British Child and Adolescent Mental Health Survey 1999: the prevalence of DSM-IV disorders. J Am Acad Child Adolesc Psychiatry 2003; 42:1203–1211CrossrefGoogle Scholar

5 Lewinsohn PM, Rohde P, Seeley JR: Adolescent psychopathology: III. The clinical consequences of comorbidity. J Am Acad Child Adolesc Psychiatry 1995; 34:510–519CrossrefGoogle Scholar

6 Breslau J, Lane M, Sampson N, et al.: Mental disorders and subsequent educational attainment in a US national sample. J Psychiatr Res 2008; 42:708–716CrossrefGoogle Scholar

7 Couwenbergh C, van den Brink W, Zwart K, et al.: Comorbid psychopathology in adolescents and young adults treated for substance use disorders: a review. Eur Child Adolesc Psychiatry 2006; 15:319–328CrossrefGoogle Scholar

8 Kovacs M, Obrosky DSM, Gatsonis C, et al.: First-episode major depressive and dysthymic disorder in childhood: clinical and sociodemographic factors in recovery. J Am Acad Child Adolesc Psychiatry 1997; 36:777–784CrossrefGoogle Scholar

9 Romer D: Adolescent risk taking, impulsivity, and brain development: implications for prevention. Dev Psychobiol 2010; 52:263–276Google Scholar

10 Armstrong TD, Costello EJ: Community studies on adolescent substance use, abuse, or dependence and psychiatric comorbidity. J Consult Clin Psychol 2002; 70:1224–1239CrossrefGoogle Scholar

11 Conway KP, Swendsen J, Husky MM, et al.: Association of lifetime mental disorders and subsequent alcohol and illicit drug use: results from the National Comorbidity Survey–Adolescent Supplement. J Am Acad Child Adolesc Psychiatry 2016; 55:280–288CrossrefGoogle Scholar

12 Rhew IC, Fleming CB, Vander Stoep A, et al.: Examination of cumulative effects of early adolescent depression on cannabis and alcohol use disorder in late adolescence in a community-based cohort. Addiction 2017; 112:1952–1960CrossrefGoogle Scholar

13 2018 National Survey on Drug Use and Health (NSDUH) Releases. Rockville, MD, Substance Abuse and Mental Health Services Administration, 2018. https://www.samhsa.gov/data/nsduh/reports-detailed-tables-2018-NSDUHGoogle Scholar

14 Teens and E-cigarettes. Bethesda, MD, National Institute on Drug Abuse, 2016. https://www.drugabuse.gov/related-topics/trends-statistics/infographics/teens-e-cigarettesGoogle Scholar

15 Kann L, McManus T, Harris WA, et al.: Youth risk behavior surveillance—United States, 2017. MMWR Surveill Summ 2018; 67:1–114CrossrefGoogle Scholar

16 Dir AL, Hulvershorn LA, Aalsma MC: The role of pregnancy concerns in the relationship between substance use and unprotected sex among adolescents. Subst Use Misuse 2019; 54:1060–1066CrossrefGoogle Scholar

17 Stice E, Marti CN, Shaw H, et al.: An 8-year longitudinal study of the natural history of threshold, subthreshold, and partial eating disorders from a community sample of adolescents. J Abnorm Psychol 2009; 118:587–597CrossrefGoogle Scholar

18 Micali N, Solmi F, Horton NJ, et al.: Adolescent eating disorders predict psychiatric, high-risk behaviors and weight outcomes in young adulthood. J Am Acad Child Adolesc Psychiatry 2015; 54:652–659.e1CrossrefGoogle Scholar

19 Holm-Denoma JM, Hankin BL, Young JF: Developmental trends of eating disorder symptoms and comorbid internalizing symptoms in children and adolescents. Eat Behav 2014; 15:275–279CrossrefGoogle Scholar

20 Field AE, Sonneville KR, Micali N, et al.: Prospective association of common eating disorders and adverse outcomes. Pediatrics 2012; 130:e289–e295CrossrefGoogle Scholar

21 Kanbur N, Harrison A: Co-occurrence of substance use and eating disorders: an approach to the adolescent patient in the context of family centered care. a literature review. Subst Use Misuse 2016; 51:853–860CrossrefGoogle Scholar

22 Sansone RA, Sansone LA: Childhood trauma, borderline personality, and eating disorders: a developmental cascade. Eat Disord 2007; 15:333–346CrossrefGoogle Scholar

23 Planned Parenthood: New CDC Report on U.S. Teens’ Sexual Behavior Illustrates Adolescents’ Continued Need for Sex Education and Effective Birth Control. New York, Planned Parenthood, 2017. https://www.plannedparenthood.org/about-us/newsroom/press-releases/planned-parenthood-new-cdc-report-on-u-s-teens-sexual-behavior-illustrates-adolescents-continued-need-for-sex-education-and-effective-birth-controlGoogle Scholar

24 Satterwhite CL, Torrone E, Meites E, et al.: Sexually transmitted infections among US women and men: prevalence and incidence estimates, 2008. Sex Transm Dis 2013; 40:187–193CrossrefGoogle Scholar

25 Waller MW, Hallfors DD, Halpern CT, et al.: Gender differences in associations between depressive symptoms and patterns of substance use and risky sexual behavior among a nationally representative sample of U.S. adolescents. Arch Women Ment Health 2006; 9:139–150CrossrefGoogle Scholar

26 Lehrer JA, Shrier LA, Gortmaker S, et al.: Depressive symptoms as a longitudinal predictor of sexual risk behaviors among US middle and high school students. Pediatrics 2006; 118:189–200CrossrefGoogle Scholar

27 Shrier LA, Harris SK, Beardslee WR: Temporal associations between depressive symptoms and self-reported sexually transmitted disease among adolescents. Arch Pediatr Adolesc Med 2002; 156:599–606CrossrefGoogle Scholar

28 Patton GC, Coffey C, Sawyer SM, et al.: Global patterns of mortality in young people: a systematic analysis of population health data. Lancet 2009; 374:881–892CrossrefGoogle Scholar

29 CDC WONDER. Atlanta, Centers for Disease Control and Prevention, 2019. https://wonder.cdc.gov/Google Scholar

30 Asarnow JR, Porta G, Spirito A, et al.: Suicide attempts and nonsuicidal self-injury in the treatment of resistant depression in adolescents: findings from the TORDIA study. J Am Acad Child Adolesc Psychiatry 2011; 50:772–781CrossrefGoogle Scholar

31 Wilkinson PO: Nonsuicidal self-injury: a clear marker for suicide risk. J Am Acad Child Adolesc Psychiatry 2011; 50:741–743CrossrefGoogle Scholar

32 Nock MK, Green JG, Hwang I, et al.: Prevalence, correlates, and treatment of lifetime suicidal behavior among adolescents: results from the National Comorbidity Survey Replication Adolescent Supplement. JAMA Psychiatry 2013; 70:300–310CrossrefGoogle Scholar

33 Cash SJ, Bridge JA: Epidemiology of youth suicide and suicidal behavior. Curr Opin Pediatr 2009; 21:613–619CrossrefGoogle Scholar

34 Kovacs M, Goldston D, Gatsonis C: Suicidal behaviors and childhood-onset depressive disorders: a longitudinal investigation. J Am Acad Child Adolesc Psychiatry 1993; 32:8–20CrossrefGoogle Scholar

35 May AM, Klonsky ED: What distinguishes suicide attempters from suicide ideators? A meta-analysis of potential factors. 2016; 23:5–20Google Scholar

36 Klonsky ED, Qiu T, Saffer BY: Recent advances in differentiating suicide attempters from suicide ideators. Curr Opin Psychiatry 2017; 30:15–20CrossrefGoogle Scholar

37 Mars B, Heron J, Crane C, et al.: Clinical and social outcomes of adolescent self harm: population based birth cohort study. BMJ 2014; 349:g5954CrossrefGoogle Scholar

38 Welton RS: The management of suicidality: assessment and intervention. Psychiatry (Edgmont) 2007; 4:24–34Google Scholar

39 Linker J, Gillespie NA, Maes H, et al.: Suicidal ideation, depression, and conduct disorder in a sample of adolescent and young adult twins. Suicide Life Threat Behav 2012; 42:426–436CrossrefGoogle Scholar

40 Laddis A: The pathogenesis and treatment of emotion dysregulation in borderline personality disorder. Scientific World Journal 2015; 2015:179276CrossrefGoogle Scholar

41 Monell E, Högdahl L, Mantilla EF, et al.: Emotion dysregulation, self-image and eating disorder symptoms in university women. J Eat Disord 2015; 3:44CrossrefGoogle Scholar

42 Babowitch JD, Antshel KM: Adolescent treatment outcomes for comorbid depression and substance misuse: a systematic review and synthesis of the literature. J Affect Disord 2016; 201:25–33CrossrefGoogle Scholar

43 Connery HS, Albright BB, Rodolico JM: Adolescent substance use and unplanned pregnancy: strategies for risk reduction. Obstet Gynecol Clin North Am 2014; 41:191–203CrossrefGoogle Scholar

44 Mozaffarian D, Afshin A, Benowitz NL, et al.: Population approaches to improve diet, physical activity, and smoking habits: a scientific statement from the American Heart Association. Circulation 2012; 126:1514–1563CrossrefGoogle Scholar

45 Carroll KM, Ball SA, Nich C, et al.: Targeting behavioral therapies to enhance naltrexone treatment of opioid dependence: efficacy of contingency management and significant other involvement. Arch Gen Psychiatry 2001; 58:755–761CrossrefGoogle Scholar

46 Baldwin SA, Christian S, Berkeljon A, et al.: The effects of family therapies for adolescent delinquency and substance abuse: a meta-analysis. J Marital Fam Ther 2012; 38:281–304CrossrefGoogle Scholar

47 Godley SH, Meyers RJ, Smith JE, et al: Adolescent Community Reinforcement Approach (ACRA) for Adolescent Cannabis Users: Cannabis Youth Treatment (CYT) Manual Series, Vol. 4 [DHHS Publication No. (SMA) 01-3489]. Rockville, MD, Center for Substance Abuse Treatment, Substance Abuse and Mental Health Services Administration, 2001Google Scholar

48 Means Reduction Saves Lives. Boston, Harvard T.H. Chan, School of Public Health, 2012. https://www.hsph.harvard.edu/means-matter/means-matter/saves-lives/. Accessed Feb 5 2020Google Scholar

49 Shain B: Suicide and suicide attempts in adolescents. Pediatrics 2016; 138:e1–e11CrossrefGoogle Scholar

50 Messias E, Castro J, Saini A, et al.: Sadness, suicide, and their association with video game and internet overuse among teens: results from the Youth Risk Behavior Survey 2007 and 2009. Suicide Life Threat Behav 2011; 41:307–315CrossrefGoogle Scholar

51 Brent DA, Kolko DJ, Wartella ME, et al.: Adolescent psychiatric inpatients’ risk of suicide attempt at 6-month follow-up. J Am Acad Child Adolesc Psychiatry 1993; 32:95–105CrossrefGoogle Scholar

52 Czyz EK, King CA: Longitudinal trajectories of suicidal ideation and subsequent suicide attempts among adolescent inpatients. J Clin Child Adolesc Psychol 2015; 44:181–193CrossrefGoogle Scholar

53 Ougrin D, Tranah T, Stahl D, et al.: Therapeutic interventions for suicide attempts and self-harm in adolescents: systematic review and meta-analysis. J Am Acad Child Adolesc Psychiatry 2015; 54:97–107.e2CrossrefGoogle Scholar

54 King CA, Arango A, Kramer A, et al.: Association of the youth-nominated support team intervention for suicidal adolescents with 11- to 14-year mortality outcomes: secondary analysis of a randomized clinical trial. JAMA Psychiatry 2019; 76:492–498CrossrefGoogle Scholar

55 Mark TL, Song X, Vandivort R, et al.: Characterizing substance abuse programs that treat adolescents. J Subst Abuse Treat 2006; 31:59–65CrossrefGoogle Scholar

56 Knight JR, Sherritt L, Shrier LA, et al.: Validity of the CRAFFT substance abuse screening test among adolescent clinic patients. Arch Pediatr Adolesc Med 2002; 156:607–614CrossrefGoogle Scholar

57 Levy S, Weiss R, Sherritt L, et al.: An electronic screen for triaging adolescent substance use by risk levels. JAMA Pediatr 2014; 168:822–828CrossrefGoogle Scholar

58 Screening Tools for Adolescent Substance Use. Bethesda, MD, National Institute on Drug Abuse, 2019. https://www.drugabuse.gov/nidamed-medical-health-professionals/screening-tools-resources/screening-tools-for-adolescent-substance-useGoogle Scholar

59 Hides L, Carroll S, Catania L, et al.: Outcomes of an integrated cognitive behaviour therapy (CBT) treatment program for co-occurring depression and substance misuse in young people. J Affect Disord 2010; 121:169–174CrossrefGoogle Scholar

60 Esposito-Smythers C, Spirito A, Kahler CW, et al.: Treatment of co-occurring substance abuse and suicidality among adolescents: a randomized trial. J Consult Clin Psychol 2011; 79:728–739CrossrefGoogle Scholar

61 Danielson CK, McCart MR, Walsh K, et al.: Reducing substance use risk and mental health problems among sexually assaulted adolescents: a pilot randomized controlled trial. J Fam Psychol 2012; 26:628–635CrossrefGoogle Scholar

62 Riggs PD, Mikulich-Gilbertson SK, Davies RD, et al.: A randomized controlled trial of fluoxetine and cognitive behavioral therapy in adolescents with major depression, behavior problems, and substance use disorders. Arch Pediatr Adolesc Med 2007; 161:1026–1034CrossrefGoogle Scholar

63 Gray KM, Carpenter MJ, Baker NL, et al.: A double-blind randomized controlled trial of N-acetylcysteine in cannabis-dependent adolescents. Am J Psychiatry 2012; 169:805–812CrossrefGoogle Scholar

64 Gordon SM, Johnson JA, Greenfield SF, et al.: Assessment and treatment of co-occurring eating disorders in publicly funded addiction treatment programs. Psychiatr Serv 2008; 59:1056–1059CrossrefGoogle Scholar

65 Yager J, Devlin MJ, Halmi KA, et al: Practice Guideline for the Treatment of Patients With Eating Disorders, 3rd ed. Washington, DC, American Psychiatric Association, June 2006. https://psychiatryonline.org/pb/assets/raw/sitewide/practice_guidelines/guidelines/eatingdisorders.pdfGoogle Scholar

66 Morgan JF, Reid F, Lacey JH: The SCOFF questionnaire: assessment of a new screening tool for eating disorders. BMJ 1999; 319:1467–1468CrossrefGoogle Scholar

67 Adolescents and Young Adults. Atlanta, Centers for Disease Control and Prevention, 2019. https://www.cdc.gov/std/life-stages-populations/adolescents-youngadults.htmGoogle Scholar

68 Which STD Tests Should I Get? Atlanta, Centers for Disease Control and Prevention, 2019. https://www.cdc.gov/std/prevention/screeningreccs.htmGoogle Scholar

69 Ades V, Wu SX, Rabinowitz E, et al.: An integrated, trauma-informed care model for female survivors of sexual violence: The Engage, Motivate, Protect, Organize, Self-Worth, Educate, Respect (EMPOWER) clinic. Obstet Gynecol 2019; 133:803–809CrossrefGoogle Scholar

70 Bridge JA, Iyengar S, Salary CB, et al.: Clinical response and risk for reported suicidal ideation and suicide attempts in pediatric antidepressant treatment: a meta-analysis of randomized controlled trials. JAMA 2007; 297:1683–1696CrossrefGoogle Scholar

71 Libby AM, Brent DA, Morrato EH, et al.: Decline in treatment of pediatric depression after FDA advisory on risk of suicidality with SSRIs. Am J Psychiatry 2007; 164:884–891CrossrefGoogle Scholar

72 Gibbons RD, Hur K, Bhaumik DK, et al.: The relationship between antidepressant prescription rates and rate of early adolescent suicide. Am J Psychiatry 2006; 163:1898–1904CrossrefGoogle Scholar

73 Olfson M, King M, Schoenbaum M: Treatment of young people with antipsychotic medications in the United States. JAMA Psychiatry 2015; 72:867–874CrossrefGoogle Scholar

74 Christian RC, Saavedra LM, Gaynes BN, et al.: Future research needs for first- and second-generation antipsychotics for children and young adults 2012Google Scholar

75 Correll CU, Manu P, Olshanskiy V, et al.: Cardiometabolic risk of second-generation antipsychotic medications during first-time use in children and adolescents. JAMA 2009; 302:1765–1773CrossrefGoogle Scholar

76 Burcu M, Zito JM, Safer DJ, et al.: Concomitant use of atypical antipsychotics with other psychotropic medication classes and the risk of type 2 diabetes mellitus. J Am Acad Child Adolesc Psychiatry 2017; 56:642–651CrossrefGoogle Scholar

77 Washburn JJ, West AE, Heil JA: Treatment of pediatric bipolar disorder: a review. Minerva Psichiatr 2011; 52:21–35Google Scholar

78 Magavi LR, Reti IM, Vasa RA: A review of repetitive transcranial magnetic stimulation for adolescents with treatment-resistant depression. Int Rev Psychiatry 2017; 29:79–88CrossrefGoogle Scholar