The substance use disorder treatment gap among US college students: Findings from the 2021 National Survey on Drug Use and Health
Open accessAbstract
Background: Substance use and substance use disorders (SUD) are prevalent among college students. Information about the gap between substance use treatment need versus treatment receipt can guide efforts to increase service access. This study examined past-year DSM-5 SUD and receipt of treatment among US college students. Methods: Past-year DSM-5 SUD and treatment receipt were estimated among a sample of 6115 college students aged 16 and older and a comparison group of non-students from the 2021 National Survey on Drug Use and Health, weighted to be nationally representative. Among the college student sample, multiple logistic regression was used to identify factors associated with past-year SUD. Bivariate analyses were used to compare socio-demographic and substance use differences between college students who received treatment and those who had an SUD but did not receive treatment. Results: Weighted prevalence of past-year SUD among college students was 21.8 %. Only 4.6 % of students who had an SUD received treatment in any setting. Relative to non-students with SUD, proportionately fewer college students with SUD received treatment. Among college students, age, sex, past-year psychological distress, and past-year substance use were significantly associated with past-year SUD; and receipt of treatment differed significantly by age, insurance type, level of education, and enrollment status. College students who received treatment had greater prevalence of stimulant, opioid, tranquilizer, and poly-SUDs and more severe SUD symptomology than those who did not receive treatment. Conclusion: Additional efforts are needed to engage college students with SUDs in acceptable, evidence-based treatment services.
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TL;DR
In the 2021 National Survey on Drug Use and Health, 21.8% of US college students met criteria for past-year DSM-5 substance use disorder (SUD), but only 4.6% of those with SUD received treatment in any setting. Treatment receipt was lower among college students with SUD than among non-students with SUD (8.1%).
Key findings
- Weighted past-year SUD prevalence among college students was 21.8%; among students with SUD, 4.6% received treatment in any setting, compared with 8.1% of non-students with SUD (p = .0169).
- Among college students, past-year SUD was significantly associated with age 21–25 vs 16–20 (aOR = 1.60, 95% CI 1.21–2.12), male sex (aOR = 1.54, 95% CI 1.15–2.05), each 1-point increase in past-year psychological distress (aOR = 1.07, 95% CI 1.05–1.10), and past-year use of alcohol (aOR = 5.49), cannabis (aOR = 4.98), hallucinogens (aOR = 2.27), nonmedical prescription opioids (aOR = 3.80), stimulants (aOR = 2.89), and benzodiazepines (aOR = 4.63).
- Students who received treatment had greater prevalence of stimulant use disorder (OR = 7.17, 95% CI 2.19–23.48), opioid use disorder (OR = 8.22, 95% CI 1.94–34.72), tranquilizer use disorder (OR = 6.74, 95% CI 2.21–20.60), poly-SUD (3+ SUDs: 39.8% vs 4.3%), and moderate-to-severe SUD (90.6% vs 49.5%).
- Compared with non-students with SUD, college students with SUD had higher prevalence of alcohol use disorder (69.1% vs 62.8%) and cannabis use disorder (43.2% vs 32.9%), lower prevalence of opioid use disorder (4.6% vs 12.7%) and tranquilizer use disorder (2.7% vs 4.7%), and greater prevalence of moderate-to-severe SUD (49.5% vs 40.2%).
Methods
- Secondary analysis of the 2021 NSDUH, a cross-sectional survey weighted to be nationally representative; analytic sample included 6,115 college students aged 16 and older and a comparison group of non-students aged 16 and older with SUD.
- Past-year DSM-5 SUD and treatment receipt were coded dichotomously; treatment settings included specialty, physical/mental healthcare, mutual aid, criminal legal system, virtual/telehealth, and any setting. Psychological distress was measured with the K-6 scale.
- Weighted Rao-Scott chi-square bivariate analyses compared groups; multiple logistic regression examined factors associated with past-year SUD among college students. A planned logistic regression for treatment receipt was not feasible due to the small number treated (weighted 1.5%, unweighted n = 56 of 1,211 with SUD), so bivariate analyses were used instead.
Limitations
- Stated: weights were based on the general US population, so the college subpopulation may not be truly representative; Indigenous Peoples were excluded due to low representation; the small number who received treatment limited inferences about predictors of treatment receipt; NSDUH changes during COVID limit combining 2021 with prior waves, and the 2022 updated treatment measure cannot be compared with 2021; the study was constrained by NSDUH measures and did not examine other student- or college-level factors.
- Evident: the cross-sectional design cannot establish directionality for associations such as part-time enrollment and treatment receipt; treatment-receipt comparisons are bivariate rather than multivariable because of small cell sizes, limiting adjusted inference.
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- Findingown data
Among college students, male sex was associated with greater odds of past-year SUD than female sex (aOR=1.54, 95% CI 1.15-2.05).
“Male students had greater odds of past-year SUD than female students (aOR = 1.54, 95 % CI 1.15–2.05).”
Quote in the paperNot a substantial claim - Findingown data
College students with SUD had greater prevalence of moderate-to-severe SUD than non-students with SUD (49.5% vs 40.2%, p<.0001).
“compared to non-students, students had greater prevalence of moderate-to-severe SUDs (49.5 % compared to 40.2 %, p <.0001).”
Quote in the paperNot a substantial claim - Findingown data
College students with SUD had higher prevalence of cannabis use disorder than non-students with SUD (43.2% vs 32.9%, p<.0001).
“college students had higher prevalence of alcohol use disorder (69.1 % compared to 62.8 %, p =.0038) and cannabis use disorder (43.2 % compared to 32.9 %, p <.0001), but lower prevalence of opioid use disorder (4.6 % compared to 12.7 %, p <.0001) and tranquilizer use disorder (2.7 % compared to 4.7 %, p =.0305).”
Quote in the paperNot a substantial claim - Findingown data
Among college students, no differences were found in odds of SUD for those who used heroin, cocaine, or inhalants.
“No differences were found among those who used heroin, cocaine, or inhalants.”
Quote in the paperNot a substantial claim - Findingown data
College students with SUD reported greater past-year psychological distress than those without SUD (M=11.93, SD=7.04 vs M=7.80, SD=6.75, p<.0001).
“Those who met criteria for an SUD also reported greater psychological distress (M = 11.93, SD = 7.04) than those without an SUD (M = 7.80, SD = 6.75, p <.0001).”
Quote in the paperNot a substantial claim
- Findingown data
Among college students, compared with past-year use of one substance, use of three or more substances was associated with over 13 times greater odds of meeting SUD criteria (aOR 13.05, 95% CI 9.34-18.24).
“those who used three or more substances had over 13 times greater odds of meeting SUD criteria (aOR 13.05, 95 % CI 9.34–18.24).”
Quote in the paperSubstantial claim - Findingown data
College students with SUD had a higher proportion of 21-25 year olds than college students without SUD (p<.0001).
“Briefly, proportionally more students who reported SUDs were 21–25 years old (p <.0001), non-Hispanic White (p =.0172), gay/lesbian/bisexual (p <.0001), part-time students (p =.0369), and publicly insured (p =.0461).”
Quote in the paperNot a substantial claim - Findingown data
Only 4.6% of college students who had a past-year SUD received treatment in any setting.
“Only 4.6 % of students who had an SUD received treatment in any setting.”
- Also stated in: § Analysis · plain
“Any setting | 58 | 4.6 | 708 | 8.1 | .0169”
Quote in the paperSubstantial claim - Also stated in: § Analysis · plain
- Findingown data
Among college students, past-year alcohol use was associated with increased odds of meeting DSM-5 criteria for SUD (aOR=5.49, 95% CI 3.76-8.01).
“Students were more likely to meet DMS-5 criteria for an SUD if they reported past-year use of alcohol (aOR = 5.49, 95 % CI 3.76–8.01), cannabis (aOR = 4.98, 95 % CI 3.62–6.85), or hallucinogens (aOR = 2.27, 95 % CI 1.34–3.84); or nonmedical use of prescription opioids (aOR 3.80, 95 % CI 1.43–10.09), stimulants (aOR = 2.89, 95 % CI 1.25–6.73), or benzodiazepines (aOR = 4.63, 95 % CI 1.85–11.58).”
Quote in the paperNot a substantial claim - Findingown data
College students with SUD had lower prevalence of tranquilizer use disorder than non-students with SUD (2.7% vs 4.7%, p=.0305).
“college students had higher prevalence of alcohol use disorder (69.1 % compared to 62.8 %, p =.0038) and cannabis use disorder (43.2 % compared to 32.9 %, p <.0001), but lower prevalence of opioid use disorder (4.6 % compared to 12.7 %, p <.0001) and tranquilizer use disorder (2.7 % compared to 4.7 %, p =.0305).”
Quote in the paperNot a substantial claim - Findingown data
Compared with non-students with SUD, fewer college students with SUD endorsed past-year nonmedical use of prescription opioids (6.3% vs 10.6%, p=.0032).
“Nonmedical use of prescription opioids | 78 | 6.3 | 999 | 10.6 | .0032”
Quote in the paperNot a substantial claim - Findingown data
Compared with non-students with SUD, proportionally more college students with SUD endorsed past-year nonmedical use of prescription stimulants (10.0% vs 5.7%, p=.0006).
“Nonmedical use of prescription stimulants | 142 | 10.0 | 659 | 5.7 | .0006”
Quote in the paperNot a substantial claim - Findingown data
College students with SUD met criteria for two or more substances at higher rates than non-students with SUD (2 SUDs: 17.3% vs 15.4%; 3+ SUDs: 5.9% vs 4.2%; p=.0002).
“College students with SUDs met SUD criteria for two (17.3 % compared to 15.4 %) and three or more substances (5.9 % compared to 4.2 %) at higher rates compared to non-students with SUD (p =.0002).”
Quote in the paperNot a substantial claim - Findingown data
Proportionally more college students with SUD had moderate-to-severe cannabis use disorder than non-students with SUD (p<.0001).
“Proportionally more students had moderate-to-severe alcohol (p =.0470) and cannabis (p <.0001) use disorders, but were comparable in severity to non-students on all other SUD types (Table S1).”
Quote in the paperNot a substantial claim - Findingown data
College students with SUD had a higher proportion of publicly insured students than college students without SUD (p=.0461).
“Briefly, proportionally more students who reported SUDs were 21–25 years old (p <.0001), non-Hispanic White (p =.0172), gay/lesbian/bisexual (p <.0001), part-time students (p =.0369), and publicly insured (p =.0461).”
Quote in the paperNot a substantial claim - Findingown data
College students with SUD were comparable in severity to non-students with SUD on all other SUD types besides alcohol and cannabis.
“Proportionally more students had moderate-to-severe alcohol (p =.0470) and cannabis (p <.0001) use disorders, but were comparable in severity to non-students on all other SUD types (Table S1).”
Quote in the paperNot a substantial claim - Findingown data
Among college students, each 1-point increase in past-year psychological distress was associated with increased odds of past-year SUD (aOR=1.07, 95% CI 1.05-1.10).
“Greater past-year psychological distress was associated with increased odds of past-year SUD; each 1-point increase in past-year psychological distress was accompanied by a small but statistically significant increase in odds of past-year SUD (aOR = 1.07, 95 % CI 1.05–1.10).”
Quote in the paperNot a substantial claim - Findingown data
Among college students, past-year hallucinogen use was associated with increased odds of SUD (aOR=2.27, 95% CI 1.34-3.84).
“Students were more likely to meet DMS-5 criteria for an SUD if they reported past-year use of alcohol (aOR = 5.49, 95 % CI 3.76–8.01), cannabis (aOR = 4.98, 95 % CI 3.62–6.85), or hallucinogens (aOR = 2.27, 95 % CI 1.34–3.84); or nonmedical use of prescription opioids (aOR 3.80, 95 % CI 1.43–10.09), stimulants (aOR = 2.89, 95 % CI 1.25–6.73), or benzodiazepines (aOR = 4.63, 95 % CI 1.85–11.58).”
Quote in the paperNot a substantial claim - Findingown data
Overall, 21.0% (n=1267) of college students met criteria for a past-year SUD and/or received SUD treatment in any setting.
“Overall, 21.0 % (n = 1267) of college students met criteria for a substance use disorder in the past year and/or received SUD treatment in any setting.”
Quote in the paperSubstantial claim - Findingown data
College students with SUD had lower prevalence of past-year treatment in any setting than non-students with SUD (4.6% vs 8.1%, p=.0169).
“Past-year treatment receipt was significantly different between college students and non-students, with students having lower prevalence of treatment in any setting (4.6 % compared to 8.1 %, p =.0169) and at physical or mental health care facilities (2.5 % compared to 5.8 %, p =.0005).”
Quote in the paperSubstantial claim - Findingown data
Among college students, past-year cannabis use was associated with increased odds of SUD (aOR=4.98, 95% CI 3.62-6.85).
“Students were more likely to meet DMS-5 criteria for an SUD if they reported past-year use of alcohol (aOR = 5.49, 95 % CI 3.76–8.01), cannabis (aOR = 4.98, 95 % CI 3.62–6.85), or hallucinogens (aOR = 2.27, 95 % CI 1.34–3.84); or nonmedical use of prescription opioids (aOR 3.80, 95 % CI 1.43–10.09), stimulants (aOR = 2.89, 95 % CI 1.25–6.73), or benzodiazepines (aOR = 4.63, 95 % CI 1.85–11.58).”
Quote in the paperNot a substantial claim - Findingown data
Among college students with SUD, receipt of treatment differed significantly by age, insurance type, level of education, and enrollment status.
“Among college students, age, sex, past-year psychological distress, and past-year substance use were significantly associated with past-year SUD; and receipt of treatment differed significantly by age, insurance type, level of education, and enrollment status.”
Quote in the paperSubstantial claim - Findingown data
Among college students, past-year nonmedical use of prescription stimulants was associated with increased odds of SUD (aOR=2.89, 95% CI 1.25-6.73).
“Students were more likely to meet DMS-5 criteria for an SUD if they reported past-year use of alcohol (aOR = 5.49, 95 % CI 3.76–8.01), cannabis (aOR = 4.98, 95 % CI 3.62–6.85), or hallucinogens (aOR = 2.27, 95 % CI 1.34–3.84); or nonmedical use of prescription opioids (aOR 3.80, 95 % CI 1.43–10.09), stimulants (aOR = 2.89, 95 % CI 1.25–6.73), or benzodiazepines (aOR = 4.63, 95 % CI 1.85–11.58).”
Quote in the paperNot a substantial claim - Findingown data
Compared with non-students with SUD, proportionally more college students with SUD endorsed past-year hallucinogen use (17.6% vs 10.6%, p<.0001).
“Hallucinogens | 256 | 17.6 | 1219 | 10.6 | <.0001”
Quote in the paperNot a substantial claim - Findingown data
Among college students, past-year nonmedical use of prescription benzodiazepines was associated with increased odds of SUD (aOR=4.63, 95% CI 1.85-11.58).
“Students were more likely to meet DMS-5 criteria for an SUD if they reported past-year use of alcohol (aOR = 5.49, 95 % CI 3.76–8.01), cannabis (aOR = 4.98, 95 % CI 3.62–6.85), or hallucinogens (aOR = 2.27, 95 % CI 1.34–3.84); or nonmedical use of prescription opioids (aOR 3.80, 95 % CI 1.43–10.09), stimulants (aOR = 2.89, 95 % CI 1.25–6.73), or benzodiazepines (aOR = 4.63, 95 % CI 1.85–11.58).”
Quote in the paperNot a substantial claim - Findingown data
College students with SUD had lower prevalence of past-year treatment at physical or mental health care facilities than non-students with SUD (2.5% vs 5.8%, p=.0005).
“Past-year treatment receipt was significantly different between college students and non-students, with students having lower prevalence of treatment in any setting (4.6 % compared to 8.1 %, p =.0169) and at physical or mental health care facilities (2.5 % compared to 5.8 %, p =.0005).”
Quote in the paperSubstantial claim - Findingown data
Among college students with SUD, those who received treatment had greater prevalence of opioid use disorder than those who did not (23.8% vs 3.7%, p=.0003).
“Opioid use disorder | 49 (3.7) | 8 (23.8) | .0003”
Quote in the paperNot a substantial claim - Findingown data
Weighted prevalence of past-year DSM-5 substance use disorder among US college students in 2021 was 21.8%.
“Weighted prevalence of past-year SUD among college students was 21.8 %.”
- Also stated in: § Results · plain
“More than one in five college students (unweighted n = 1327, weighted frequency 21.8 %) met DSM-5 criteria for an SUD in the past year.”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
Compared with non-students with SUD, proportionally more college students with SUD endorsed past-year alcohol use (94.1% vs 86.3%, p<.0001).
“Alcohol | 1244 | 94.1 | 7972 | 86.3 | <.0001”
Quote in the paperNot a substantial claim - Findingown data
Past-year substance use was more prevalent among college students with SUD than among those without SUD for all substances assessed (ps<.01).
“As shown in Table 1, past-year substance use was more prevalent among students with SUDs for all substances assessed (ps <.01).”
Quote in the paperNot a substantial claim - Findingown data
College students with SUD had lower prevalence of opioid use disorder than non-students with SUD (4.6% vs 12.7%, p<.0001).
“college students had higher prevalence of alcohol use disorder (69.1 % compared to 62.8 %, p =.0038) and cannabis use disorder (43.2 % compared to 32.9 %, p <.0001), but lower prevalence of opioid use disorder (4.6 % compared to 12.7 %, p <.0001) and tranquilizer use disorder (2.7 % compared to 4.7 %, p =.0305).”
Quote in the paperNot a substantial claim - Findingown data
Among college students with SUD, those who received treatment had greater prevalence of tranquilizer use disorder than those who did not (13.3% vs 2.2%, p=.0001).
“Tranquilizer use disorder | 37 (2.2) | 8 (13.3) | .0001”
Quote in the paperNot a substantial claim - Findingown data
College students with SUD had a higher proportion of part-time students than college students without SUD (p=.0369).
“Briefly, proportionally more students who reported SUDs were 21–25 years old (p <.0001), non-Hispanic White (p =.0172), gay/lesbian/bisexual (p <.0001), part-time students (p =.0369), and publicly insured (p =.0461).”
Quote in the paperNot a substantial claim - Findingown data
Compared with non-students with SUD, proportionally more college students with SUD endorsed past-year cannabis use (69.2% vs 54.3%, p<.0001).
“Cannabis | 944 | 69.2 | 5543 | 54.3 | <.0001”
Quote in the paperNot a substantial claim - Findingown data
Among college students with SUD, those who received treatment had greater prevalence of stimulant use disorder than those who did not (38.9% vs 8.2%, p<.0001).
“Stimulant use disorder | 106 (8.2) | 11 (38.9) | <.0001”
Quote in the paperNot a substantial claim - Findingown data
Among college students, past-year nonmedical use of prescription opioids was associated with increased odds of SUD (aOR=3.80, 95% CI 1.43-10.09).
“Students were more likely to meet DMS-5 criteria for an SUD if they reported past-year use of alcohol (aOR = 5.49, 95 % CI 3.76–8.01), cannabis (aOR = 4.98, 95 % CI 3.62–6.85), or hallucinogens (aOR = 2.27, 95 % CI 1.34–3.84); or nonmedical use of prescription opioids (aOR 3.80, 95 % CI 1.43–10.09), stimulants (aOR = 2.89, 95 % CI 1.25–6.73), or benzodiazepines (aOR = 4.63, 95 % CI 1.85–11.58).”
Quote in the paperNot a substantial claim - Findingown data
Compared with non-students with SUD, fewer college students with SUD endorsed past-year heroin use (0.2% vs 2.4%, p<.0001).
“Heroina | 6 | 0.2 | 189 | 2.4 | <.0001”
Quote in the paperNot a substantial claim - Findingown data
Among college students, compared with past-year use of one substance, use of two substances was associated with over four times greater odds of meeting DSM-5 criteria for SUD (aOR 4.08, 95% CI 3.00-5.60).
“Compared to students who reported past-year use of one substance, those who used two substances had over four times greater odds of meeting DSM-5 criteria for an SUD (aOR 4.08, 95 % CI 3.00–5.60)”
Quote in the paperNot a substantial claim - Findingown data
College students with SUD had a higher proportion of non-Hispanic White students than college students without SUD (p=.0172).
“Briefly, proportionally more students who reported SUDs were 21–25 years old (p <.0001), non-Hispanic White (p =.0172), gay/lesbian/bisexual (p <.0001), part-time students (p =.0369), and publicly insured (p =.0461).”
Quote in the paperNot a substantial claim - Findingown data
Among college students, being 21-25 years old was associated with increased odds of past-year SUD compared with being 16-20 years old (aOR=1.60, 95% CI 1.21-2.12).
“Compared to younger students (ages 16–20), students who were 21–25 years old had increased odds of meeting DSM-5 SUD criteria (aOR = 1.60, 95 % CI 1.21–2.12).”
Quote in the paperNot a substantial claim - Findingown data
Among college students with SUD, those who received treatment had greater prevalence of poly-SUD than those who did not (3+ SUDs: 39.8% vs 4.3%, p<.0001).
“3+ SUDs | 58 (4.3) | 13 (39.8) |”
Quote in the paperNot a substantial claim - Findingown data
Proportionally more college students with SUD had moderate-to-severe alcohol use disorder than non-students with SUD (p=.0470).
“Proportionally more students had moderate-to-severe alcohol (p =.0470) and cannabis (p <.0001) use disorders, but were comparable in severity to non-students on all other SUD types (Table S1).”
Quote in the paperNot a substantial claim - Findingown data
College students with SUD had higher prevalence of alcohol use disorder than non-students with SUD (69.1% vs 62.8%, p=.0038).
“college students had higher prevalence of alcohol use disorder (69.1 % compared to 62.8 %, p =.0038) and cannabis use disorder (43.2 % compared to 32.9 %, p <.0001), but lower prevalence of opioid use disorder (4.6 % compared to 12.7 %, p <.0001) and tranquilizer use disorder (2.7 % compared to 4.7 %, p =.0305).”
Quote in the paperNot a substantial claim - Findingown data
College students with SUD had a higher proportion of gay/lesbian/bisexual students than college students without SUD (p<.0001).
“Briefly, proportionally more students who reported SUDs were 21–25 years old (p <.0001), non-Hispanic White (p =.0172), gay/lesbian/bisexual (p <.0001), part-time students (p =.0369), and publicly insured (p =.0461).”
Quote in the paperNot a substantial claim - Findingown data
Male college students were more likely to meet SUD criteria than female college students.
“Like the general US population, male students were more likely to meet SUD criteria than females; however, research suggests sex and gender differences in SUD are narrowing and should continue to be monitored among the college student population (McHugh et al., 2018).”
Quote in the paperNot a substantial claim - Findingown data
The prevalence of two SUDs was higher among those who received treatment (30.2% compared to 16.8%).
“The prevalence of two SUDs (30.2 % compared to 16.8 %) and three or more SUDs (39.8 % compared to 4.3 %, p <.0001) was higher among those who received treatment.”
Quote in the paperNot a substantial claim - Findingown data
Moderate-to-severe SUDs were more prevalent among college students with any SUD compared to non-students with any SUD.
“Moreover, poly-SUDs and moderate-to-severe SUDs were more prevalent among students with any SUD compared to non-students with any SUD.”
Quote in the paperSubstantial claim - Findingown data
Treatment in physical and mental health care settings was significantly less prevalent among college students with SUD relative to their non-student counterparts.
“the current study found treatment in physical and mental health care settings was significantly less prevalent among college students with SUD relative to their non-student counterparts.”
Quote in the paperSubstantial claim - Findingown data
Among college students with SUD, those who received treatment had greater prevalence of stimulant use disorder (OR = 7.17, 95% CI 2.19-23.48, p < .0001).
“those who received treatment had greater prevalence of stimulant use disorder (OR = 7.17, 95 % CI 2.19–23.48, p <.0001)”
Quote in the paperNot a substantial claim - Findingown data
More than one out of five US college students met DSM-5 criteria for a past-year SUD.
“While more than one out of five college students met DSM-5 criteria for a past-year SUD, only 1.1 % of college students received treatment in the past year (unweighted n = 58, 4.6 % of those with an SUD).”
- Also stated in: § Discussion · plain
“While more than one in five college students met criteria for a DSM-5 SUD, less than one in 20 (4.6 %) of those with an SUD received treatment.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
No person who met criteria for inhalant use disorder received treatment.
“no person who met criteria for inhalant use disorder received treatment.”
Quote in the paperNot a substantial claim - Findingnone given
Among college students and non-students with alcohol and cannabis use disorders, college students had greater SUD symptom severity.
“However, among college students and non-students with alcohol and cannabis use disorders, college students had greater SUD symptom severity.”
Quote in the paperNot a substantial claim - Findingown data
Among college students, age, sex, past-year psychological distress, and past-year substance use were significantly associated with past-year SUD.
“Among college students, age, sex, past-year psychological distress, and past-year substance use were significantly associated with past-year SUD.”
Quote in the paperNot a substantial claim - Findingown data
Moderate-to-severe SUDs were more prevalent among those who had received treatment (p = .0005).
“Finally, moderate-to-severe SUDs were more prevalent among those who had received treatment (p =.0005).”
Quote in the paperNot a substantial claim - Findingown data
Part-time students were no more likely than full-time students to have an SUD.
“While part-time students were no more likely than full-time students to have an SUD, proportionately more part-time students had received treatment.”
Quote in the paperNot a substantial claim - Findingown data
The prevalence of three or more SUDs was higher among those who received treatment (39.8% compared to 4.3%, p < .0001).
“The prevalence of two SUDs (30.2 % compared to 16.8 %) and three or more SUDs (39.8 % compared to 4.3 %, p <.0001) was higher among those who received treatment.”
Quote in the paperNot a substantial claim - Findingown data
Receipt of treatment differed by age, with proportionately more older students having received treatment.
“At the bivariate level, receipt of treatment differed by age, with proportionately more older students having received treatment (p =.0051).”
Quote in the paperNot a substantial claim - Findingown data
Students with an SUD who did not receive treatment differed from students who received treatment on multiple sociodemographic and substance use indicators.
“Students who had an SUD but did not receive treatment differed from students who received treatment on multiple sociodemographic and substance use indicators (Table 4).”
Quote in the paperSubstantial claim - Findingown data
Proportionately fewer students with a single SUD received treatment.
“Conversely, proportionately fewer students with a single SUD received treatment, and alcohol and cannabis use disorders were not significantly associated with treatment utilization.”
Quote in the paperSubstantial claim - Findingown data
Findings related to age demonstrate an increased likelihood of SUD among college students ages 21-25.
“Findings related to age demonstrate an increased likelihood of SUD among college students ages 21–25.”
Quote in the paperSubstantial claim - Findingown data
Undergraduate and graduate students were equally likely to meet DSM-5 SUD criteria.
“Similarly, we found undergraduate and graduate students were equally likely to meet DSM-5 SUD criteria, but proportionately more undergraduate students had received treatment.”
Quote in the paperSubstantial claim - Findingown data
Among college students with SUD, those who received treatment had greater prevalence of tranquilizer use disorder (OR = 6.74, 95% CI 2.21-20.60, p < .0001).
“and tranquilizer use disorder (OR = 6.74, 95 % CI 2.21–20.60, p <.0001).”
Quote in the paperNot a substantial claim - Findingown data
Receipt of treatment was more prevalent among part-time students compared to full-time students.
“Receipt of treatment was more prevalent among students who were enrolled part-time compared to full-time students (p =.0012)”
- Also stated in: § Discussion · plain
“While part-time students were no more likely than full-time students to have an SUD, proportionately more part-time students had received treatment.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
In the current study, approximately half of college students with an SUD had moderate-to-severe symptomology.
“In the current study, approximately half of college students with an SUD had moderate-to-severe symptomology.”
Quote in the paperNot a substantial claim - Findingown data
Poly-SUDs were more prevalent among college students with any SUD compared to non-students with any SUD.
“Moreover, poly-SUDs and moderate-to-severe SUDs were more prevalent among students with any SUD compared to non-students with any SUD.”
Quote in the paperSubstantial claim - Findingown data
1.1% of US college students received treatment in the past year.
“only 1.1 % of college students received treatment in the past year (unweighted n = 58, 4.6 % of those with an SUD).”
Quote in the paperSubstantial claim - Findingown data
Receipt of treatment was more prevalent among undergraduates compared to graduate students.
“and among undergraduates compared to graduate students (p =.0289).”
- Also stated in: § Discussion · plain
“Similarly, we found undergraduate and graduate students were equally likely to meet DSM-5 SUD criteria, but proportionately more undergraduate students had received treatment.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
Among college students with SUD, those who received treatment had greater prevalence of opioid use disorder (OR = 8.22, 95% CI 1.94-34.72, p = .0003).
“opioid use disorder (OR = 8.22, 95 % CI 1.94–34.72, p =.0003)”
Quote in the paperNot a substantial claim - Findingown data
Among US college students with a past-year SUD, 4.6% received treatment in the past year.
“only 1.1 % of college students received treatment in the past year (unweighted n = 58, 4.6 % of those with an SUD).”
- Also stated in: § Discussion · plain
“less than one in 20 (4.6 %) of those with an SUD received treatment.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Premisecitation
Among US individuals aged 12 or older with an SUD, Asian Americans are less likely to receive treatment than their White counterparts.
“Among US individuals aged 12 or older with an SUD, Asian Americans are less likely to receive treatment than their White counterparts (Sahker et al., 2023)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sahker et al., 2023
Not checked in the free run.
- Premisecitation
Treatment utilization is greater among people with opioid use disorder than among people with alcohol or cannabis use disorder.
“Treatment utilization is greater among people with opioid use disorder relative to people with alcohol or cannabis use disorder, and among people with severe SUDs relative to people with mild or moderate SUDs (Bohler, 2023).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bohler, 2023
Not checked in the free run.
- Premisecitation
Adolescents and young adults are less likely to receive treatment than adults aged 26 or older.
“adolescents and young adults are less likely to receive treatment than adults aged 26 or older (Lipari et al., 2017).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lipari et al., 2017
Not checked in the free run.
- Interpretationcitation
The treatment gap may be greater among college students, particularly given social norms surrounding alcohol and cannabis use on college campuses.
“Together, these trends suggest the treatment gap may be greater among college students, particularly given social norms surrounding alcohol and cannabis use on college campuses (Willis et al., 2019).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Willis et al., 2019 source
Not checked in the free run.
- Premisecitation
Integrated care is associated with better outcomes.
“Integrated care is associated with better outcomes”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Outcomes tend to be better with early intervention for SUDs.
“outcomes tend to be better with early intervention (Carney and Myers, 2012, Stockings et al., 2016).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Young people with substance use concerns are often interested in non-abstinent treatment goals.
“Some research suggests young people with substance use concerns are often interested in non-abstinent treatment goals, and many who feel they have resolved a past substance use concern do not consider themselves to be “in recovery” (Pasman et al., 2023, Smith et al., 2023, Subbaraman and Witbrodt, 2014).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Pasman et al., 2023
Not checked in the free run.
- cites Smith et al., 2023 source
Not checked in the free run.
- cites Subbaraman and Witbrodt, 2014
Not checked in the free run.
- Premisecitation
Many college students reporting heavy or frequent substance use are unaware of the services available to them.
“many college students reporting heavy or frequent substance use are unaware of the services available to them (Pasman, Agius, et al., 2023).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Pasman, Agius, et al., 2023
Not checked in the free run.
- Study design and conductown data
The small number of students who received treatment limited the ability to make inferences related to socio-demographic characteristics and substance use patterns that predict treatment receipt.
“Further, the small number of students who received treatment—while markedly concerning in itself—limited our ability to make inferences related to socio-demographic characteristics and substance use patterns that predict treatment receipt.”
Quote in the paperSubstantial claim - Interpretationown data
Substance use treatment utilization was low among this nationally representative sample of US college students.
“Substance use treatment utilization was low among this nationally representative sample of US college students.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The subpopulation of respondents who were in college at the time of the survey may not have been truly representative of college students across the nation because weights were based on the general population.
“First, the study was based on a nationwide probability sample and weighted to be nationally representative of the overall US population; thus, the subpopulation of respondents who were in college at the time of the survey may not have been truly representative of college students across the nation as weights were based on the general population.”
Quote in the paperNot a substantial claim
- May combine two claims. 11
- Classified as probably not a substantial claim. 20
May combine two claims.
Findingown dataAmong college students, past-year methamphetamine use was associated with increased odds of SUD (aOR=14.04, 95% CI 1.82-108.00), but this should be interpreted with caution due to small cell sizes and wide confidence intervals.
“Use of methamphetamine (aOR = 14.04, 95 % CI 1.82–108.00) was also significantly associated with the odds of SUD, however this should be interpreted with caution given the small cell sizes for methamphetamine use and the wide confidence intervals.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataInsurance type was associated with treatment receipt: proportionally more students with public insurance or no insurance had received treatment, whereas proportionately fewer with private insurance had received treatment.
“Regarding insurance type, proportionally more students with public insurance or no insurance had received treatment, whereas proportionately fewer with private insurance had received treatment (p =.0100).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNo statistically significant associations were found between alcohol, cannabis, or hallucinogen use disorders and treatment receipt (ps > .10).
“No statistically significant associations were found related to alcohol, cannabis, or hallucinogen use disorders (ps >.10)”
- Also stated in: § Discussion · plain
“alcohol and cannabis use disorders were not significantly associated with treatment utilization.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTreatment utilization is greater among people with severe SUDs than among people with mild or moderate SUDs.
“Treatment utilization is greater among people with opioid use disorder relative to people with alcohol or cannabis use disorder, and among people with severe SUDs relative to people with mild or moderate SUDs (Bohler, 2023).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bohler, 2023
Not checked in the free run.
May combine two claims.
Study design and conductown dataThe planned logistic regression to examine factors associated with receipt of treatment among college students with past-year SUD was not feasible due to the small number who received treatment (weighted 1.5%, unweighted n=56 of 1211) and small cell sizes (<5) that violate logistic regression assumptions; such an analysis would require a sample size of approximately 1667.
“Though we initially planned a logistic regression to examine factors associated with receipt of treatment among college students with a past-year SUD, this was not feasible due in part to the small number of persons who received treatment (weighted 1.5 %, unweighted n = 56 of 1211 who met criteria for SUD) and the small cell sizes (< 5) that violate the assumptions of the logistic regression model”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationPast-year psychological distress was measured using the K-6 scale, a validated instrument for measuring recent non-specific psychological distress.
“Past-year psychological distress was measured using the Kessler Psychological Distress (K-6) scale (Kessler et al., 2002). The K-6 is a validated instrument for measuring recent non-specific psychological distress that is included in the PhenX toolkit (Hamilton et al., 2011) and widely used in substance use research”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataSurvey procedures with provided sample weights were used for all weighted analyses to adjust for nonresponse, noncoverage, and oversampling and to enhance generalizability of inferences.
“Survey procedures were used for all weighted analyses with provided sample weights to adjust for nonresponse, noncoverage, and oversampling in some groups and to enhance generalizability of inferences.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationSubstance use and substance use disorders are prevalent among college students.
“Substance use and substance use disorders (SUD) are prevalent among college students.”
- Also stated in: § Introduction · boosted
“Substance use and related harms are highly prevalent on college campuses (Arterberry et al., 2020, Patrick et al., 2023).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Arterberry et al., 2020 source
Not checked in the free run.
- cites Patrick et al., 2023
Not checked in the free run.
- Also stated in: § Introduction · boosted
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA 2009 study estimated that nearly half of undergraduate students at a large public university met criteria for an SUD at some point during their first three years of college.
“A 2009 study of undergraduate students at a large public university estimated that nearly half of all students met criteria for an SUD at some point during their first three years of college, and only 9 % of those with an SUD sought help (Caldeira et al., 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Caldeira et al., 2009 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationOnly about 13% of individuals meeting diagnostic criteria for an SUD receive specialty treatment.
“National estimates suggest that only about 13 % of individuals meeting diagnostic criteria for an SUD receive specialty treatment (Sahker et al., 2024).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sahker et al., 2024 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataA regression analysis evaluated multicollinearity and all VIFs were <1.5, indicating minimal multicollinearity unlikely to affect the final model.
“A regression analysis was performed to evaluate for multicollinearity and all VIFs were <1.5, indicating minimal multicollinearity unlikely to affect the results of the final model.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningMissingness was minimal, and the NOMCAR statement was included in the logistic regression to reduce potential bias by including cases with missing values in variance estimation.
“Missingness was minimal in the dataset, as variables were selected when possible that contained previously imputed values. However, the NOMCAR statement was included in the logistic regression to reduce potential for bias by including cases with missing values in the variance estimation for the full model.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNatural recovery from SUDs does occur (e.g., "maturing out").
“Though natural recovery from SUDs does occur (e.g., “maturing out”, Lee and Sher, 2018), outcomes tend to be better with early intervention (Carney and Myers, 2012, Stockings et al., 2016).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lee and Sher, 2018
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationResearch suggests sex and gender differences in SUD are narrowing.
“research suggests sex and gender differences in SUD are narrowing and should continue to be monitored among the college student population (McHugh et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites McHugh et al., 2018 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCampus-based social norms campaigns have been shown to reduce alcohol and other drug use among college students, particularly those who overestimate the use of their peers.
“Campus-based social norms campaigns have been shown to reduce alcohol and other drug use among college students, particularly those who overestimate the use of their peers (Hembroff et al., 2021, Mattern and Neighbors, 2004, Pischke et al., 2021).”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
InterpretationcitationThe SUD treatment gap among college students is larger than the treatment gap observed among non-students in this sample (8.1%), the general US population, and other subpopulations of people with SUDs, including young adults.
“This discrepancy is larger than the treatment gap observed among non-students in this sample (8.1 %), the general US population, and other subpopulations of people with SUDs, including young adults (Krawczyk et al., 2022, Mekonen et al., 2021, Sahker et al., 2024).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationIn recent years, social distancing measures to reduce the spread of COVID-19 impacted college student substance use and treatment access.
“In recent years, social distancing measures to reduce the spread of COVID-19 have impacted college student substance use and treatment access.”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataIndigenous Peoples were excluded from the analytic sample due to low representation.
“We excluded Indigenous Peoples due to low representation in the analytic sample.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationData from focus groups with college students indicate students prefer that programming acknowledge the reasons students use alcohol and other drugs and oppose content that could be interpreted as fear-mongering.
“Indeed, data from focus groups with college students indicate students prefer that programming acknowledge the reasons students use alcohol and other drugs and oppose content that could be interpreted as fear-mongering (Andraka-Christou et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Andraka-Christou et al., 2019 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMost adolescents with severe SUD symptoms do not age out of symptomatic use over a 32-year period.
“Further, most adolescents with severe SUD symptoms do not age out of symptomatic use over a 32-year period (McCabe et al., 2022).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites McCabe et al., 2022 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn that 2009 study, only 9% of those with an SUD sought help.
“A 2009 study of undergraduate students at a large public university estimated that nearly half of all students met criteria for an SUD at some point during their first three years of college, and only 9 % of those with an SUD sought help (Caldeira et al., 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Caldeira et al., 2009 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenChanges to the NSDUH during COVID limit the ability to combine the 2021 data with previous waves.
“Changes to the NSDUH during COVID limit the ability to combine the 2021 data with previous waves.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThis study was constrained by NSDUH measures.
“this study was constrained by NSDUH measures”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationMany people who feel they have resolved a past substance use concern do not consider themselves to be "in recovery".
“Some research suggests young people with substance use concerns are often interested in non-abstinent treatment goals, and many who feel they have resolved a past substance use concern do not consider themselves to be “in recovery” (Pasman et al., 2023, Smith et al., 2023, Subbaraman and Witbrodt, 2014).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Pasman et al., 2023
Not checked in the free run.
- cites Smith et al., 2023 source
Not checked in the free run.
- cites Subbaraman and Witbrodt, 2014
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCollege students often overestimate the substance use of their peers.
“Previous research has shown college students often overestimate the substance use of their peers (Cox et al., 2019, Dempsey et al., 2016).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLack of SUD recognition is the number one reason people with an SUD do not receive treatment.
“Lack of SUD recognition is the number one reason people with an SUD do not receive treatment (SAMHSA, 2023).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites SAMHSA, 2023
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe 2022 NSDUH includes an updated measure of treatment receipt which cannot be compared to the 2021 treatment data.
“Further, the 2022 NSDUH includes an updated measure of treatment receipt which cannot be compared to the 2021 treatment data.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSubstance use and SUDs tend to increase in adolescence and peak in young adulthood.
“Our findings are in line with a large body of research showing substance use and SUDs tend to increase in adolescence and peak in young adulthood (McCabe et al., 2019, Patrick et al., 2023)”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites McCabe et al., 2019 source
Not checked in the free run.
- cites Patrick et al., 2023
Not checked in the free run.
The paper relies on this without support.
Current and national information about past-year treatment need and utilization among US college students is limited.
“However, current and national information about past-year treatment need and utilization among US college students is limited.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
SUD symptom severity, along with poly-SUDs and mental illness severity, is a significant factor for treatment receipt.
“These studies suggest that SUD symptom severity, along with poly-SUDs and mental illness severity, is a significant factor for treatment receipt.”
From Treatment Use Among U.S. Adults with a Substance Use Disorder: Associations with Symptom Severity, Problem Self-Perception, Comorbid Mental Illness, and Mental Health Treatment (2025) · cites this paper as [26]
The Results (Treatment Receipt; page unavailable) report that poly-SUDs and moderate-to-severe SUDs were more prevalent among college students who received treatment. The copy measures psychological distress and links it to having an SUD, but the cited passages do not establish that mental illness severity was significantly associated with treatment receipt. The reported treatment comparisons are bivariate, rather than evidence that these are independent factors. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Prescription-stimulant comparison overstates its p-value threshold
MinorThe results include prescription stimulants among comparisons described as having p < .0001, but Table 2 reports p = .0006 for that comparison.
“proportionally more college students with SUDs endorsed past-year use of alcohol, cannabis, hallucinogens, and nonmedical use of prescription stimulants (ps <.0001)”
“| Nonmedical use of prescription stimulants | 142 | 10.0 | 659 | 5.7 | .0006 |”
Table 4 labels the untreated group with the total SUD sample size
MinorTable 4 labels the treatment-not-received group as n = 1327, but its three age-category counts total 1269. Adding the 58 treatment recipients gives 1327, indicating that the header uses the combined group size.
Reported 1327 · recomputed 1269
“| Sample Characteristics | Treatment Not Received (n= 1327) Frequency (weighted %) | Treatment Received (n= 58) Frequency (weighted %) | p-value | | --- | --- | --- | --- | | Age | | | .0051 | | 20 years or younger | 390 (23.6) | 14 (8.2) | | | 21–25 years | 573 (40.0) | 19 (26.5) | | | 26 years or older | 306 (36.5) | 25 (65.3) | |”
Prescription-opioid comparison cites the wrong p-value
MinorThe results give p = .0006 for the prescription-opioid-use comparison, whereas the corresponding Table 2 row gives p = .0032.
“prescription opioids (p =.0006)”
“| Nonmedical use of prescription opioids | 78 | 6.3 | 999 | 10.6 | .0032 |”
Cites
KESSLER, R. C., ANDREWS, G., COLPE, L. J., HIRIPI, E., MROCZEK, D. K., NORMAND, S.-L. T., WALTERS, E. E., & ZASLAVSKY, A. M. (2002) · Psychological Medicine · doi:10.1017/s0033291702006074 · Cited by 10,327 · see citing works
Sex and gender differences in substance use disorders
McHugh, R. K., Votaw, V. R., Sugarman, D. E., & Greenfield, S. F. (2018) · Clinical Psychology Review · doi:10.1016/j.cpr.2017.10.012 · Cited by 1,076 · see citing works
Comparative effectiveness of different treatment pathways for opioid use disorder.
Wakeman, S. E., Larochelle, M. R., Ameli, O., Chaisson, C. E., McPheeters, J. T., Crown, W. H., Azocar, F., & Sanghavi, D. M. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.20622 · Cited by 995 · see citing works
The PhenX Toolkit: get the most from your measures
Hamilton, C. M., Strader, L. C., Pratt, J. G., Maiese, D., Hendershot, T., Kwok, R. K., Hammond, J. A., Huggins, W., Jackman, D., Pan, H., et al. (2011) · American Journal of Epidemiology · doi:10.1093/aje/kwr193 · Cited by 889 · see citing works
Alcoholics Anonymous and other 12-step programs for alcohol use disorder
Kelly, J. F., Humphreys, K., & Ferri, M. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012880.pub2 · Cited by 462 · see citing works
Prevention, early intervention, harm reduction, and treatment of substance use in young people
Stockings, E., Hall, W. D., Lynskey, M., Morley, K. I., Reavley, N., Strang, J., Patton, G., & Degenhardt, L. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(16)00002-x · Cited by 433 · see citing works
Hingson, R., Zha, W., & Smyth, D. (2017) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2017.78.540 · Cited by 337 · see citing works
Krawczyk, N., Rivera, B. D., Jent, V., Keyes, K. M., Jones, C. M., & Cerdá, M. (2022) · International Journal of Drug Policy · doi:10.1016/j.drugpo.2022.103786 · Cited by 308 · see citing works
Weiss, R. D., Griffin, M. L., Kolodziej, M. E., Greenfield, S. F., Najavits, L. M., Daley, D. C., Doreau, H. R., & Hennen, J. A. (2007) · American Journal of Psychiatry · doi:10.1176/ajp.2007.164.1.100 · Cited by 252 · see citing works
Davis, D. R., Kurti, A. N., Skelly, J. M., Redner, R. N., White, T. J., & Higgins, S. T. (2016) · Preventive Medicine · doi:10.1016/j.ypmed.2016.08.008 · Cited by 245 · see citing works
Treatment rates for alcohol use disorders: A systematic review and meta-analysis
Mekonen, T., Chan, G. C. K., Connor, J., Hall, W., Hides, L., & Leung, J. (2021) · Addiction · doi:10.1111/add.15357 · Cited by 207 · see citing works
Patrick, M. E., Schulenberg, J. E., Miech, R. A., Johnston, L. D., O’Malley, P. M., & Bachman, J. G. (2022) · doi:10.7826/isr-um.06.585140.002.07.0001.2022 · Cited by 203 · see citing works
Mattern, J. L., & Neighbors, C. (2004) · Journal of Studies on Alcohol · doi:10.15288/jsa.2004.65.489 · Cited by 162 · see citing works
Substance Use Among College Students
Welsh, J. W., Shentu, Y., & Sarvey, D. B. (2019) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.20180037 · Cited by 156 · see citing works
College students rarely seek help despite serious substance use problems
Caldeira, K. M., Kasperski, S. J., Sharma, E., Vincent, K. B., O'Grady, K. E., Wish, E. D., & Arria, A. M. (2009) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2009.04.005 · Cited by 149 · see citing works
Carney, T., & Myers, B. (2012) · Substance Abuse Treatment, Prevention, and Policy · doi:10.1186/1747-597x-7-25 · Cited by 137 · see citing works
Patrick, M. E., Miech, R. A., Johnston, L. D., et al. (2023) · doi:10.7826/isr-um.06.585140.002.07.0002.2023 · Cited by 134 · see citing works
McCabe, S. E., Arterberry, B. J., Dickinson, K., Evans‐Polce, R. J., Ford, J. A., Ryan, J. E., & Schepis, T. S. (2020) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2020.3352 · Cited by 126 · see citing works
Self-citation"Maturing Out" of Binge and Problem Drinking.
Lee, M. R., & Sher, K. J. (2018) · Europe PMC (PubMed Central) · Cited by 123 · see citing works
Firkey, M. K., Sheinfil, A. Z., & Woolf-King, S. E. (2022) · Journal of American College Health · doi:10.1080/07448481.2020.1869750 · Cited by 122 · see citing works
Weiss, R. D., Griffin, M. L., Jaffee, W. B., Bender, R. E., Graff, F. S., Gallop, R. J., & Fitzmaurice, G. M. (2009) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2009.04.018 · Cited by 106 · see citing works
Sterling, S., Chi, F., & Hinman, A. (2011) · Europe PMC (PubMed Central) · Cited by 101 · see citing works
Hennessy, E. A., Tanner‐Smith, E. E., Mavridis, D., & Grant, S. (2019) · Prevention Science · doi:10.1007/s11121-018-0960-z · Cited by 90 · see citing works
McCabe, S. E., Schulenberg, J. E., Schepis, T. S., McCabe, V. V., & Veliz, P. T. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.5324 · Cited by 79 · cited 1× · see citing works
“Further, most adolescents with severe SUD symptoms do not age out of symptomatic use over a 32-year period (McCabe et al., 2022).”
BackgroundSelf-citationCollege Student Drug Use: Patterns, Concerns, Consequences, and Interest in Intervention
Palmer, R. S., McMahon, T. J., Moreggi, D. I., Rounsaville, B. J., & Ball, S. A. (2012) · Journal of College Student Development · doi:10.1353/csd.2012.0014 · Cited by 74 · see citing works
Arterberry, B. J., Boyd, C. J., West, B. T., Schepis, T. S., & McCabe, S. E. (2020) · Journal of American College Health · doi:10.1080/07448481.2019.1590368 · Cited by 70 · see citing works
Self-citationCox, M. J., DiBello, A. M., Meisel, M. K., Ott, M. Q., Kenney, S. R., Clark, M. A., & Barnett, N. P. (2019) · Psychology of Addictive Behaviors · doi:10.1037/adb0000455 · Cited by 70 · see citing works
Screening and Brief Interventions for Alcohol Use in College Health Centers: A Review
Seigers, D. K. L., & Carey, K. B. (2010) · Journal of American College Health · doi:10.1080/07448481.2010.502199 · Cited by 67 · see citing works
America's Need for and Receipt of Substance Use Treatment in 2015
Lipari, R. N., Park-Lee, E. Y., & Horn, S. L. V. (2013) · Europe PMC (PubMed Central) · Cited by 67 · see citing works
Terrion, J. L. (2012) · Journal of Social and Personal Relationships · doi:10.1177/0265407512448276 · Cited by 61 · see citing works
McCabe, S. E., Wilens, T. E., Boyd, C. J., Chua, K.-P., Voepel-Lewis, T., & Schepis, T. S. (2019) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.11.010 · Cited by 51 · see citing works
Self-citationWeinberger, A. H., Pacek, L. R., Sheffer, C. E., Budney, A. J., Lee, J., & Goodwin, R. D. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.01.010 · Cited by 50 · see citing works
Saloner, B., Krawczyk, N., Solomon, K., Allen, S. T., Morris, M., Haney, K., & Sherman, S. G. (2022) · International Journal of Drug Policy · doi:10.1016/j.drugpo.2021.103537 · Cited by 47 · see citing works
Dempsey, R. C., McAlaney, J., Helmer, S. M., Pischke, C. R., Akvardar, Y., Bewick, B. M., Fawkner, H. J., Guillen-Grima, F., Stock, C., Vriesacker, B., et al. (2016) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2016.77.740 · Cited by 44 · see citing works
Monetary conversion factors for economic evaluations of substance use disorders
McCollister, K., Yang, X., Sayed, B., French, M. T., Leff, J. A., & Schackman, B. R. (2017) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2017.07.008 · Cited by 43 · cited 1× · see citing works
“In addition to these human costs, the economic cost of SUD exceeds $700 billion annually in healthcare, social service, criminal/legal, and reduced productivity (McCollister et al., 2017).”
BackgroundBoness, C. L., Votaw, V. R., Schwebel, F. J., Moniz-Lewis, D. I. K., McHugh, R. K., & Witkiewitz, K. A. (2023) · Clinical Psychology Science and Practice · doi:10.1037/cps0000131 · Cited by 42 · see citing works
Differences between abstinent and non-abstinent individuals in recovery from alcohol use disorders
Subbaraman, M. S., & Witbrodt, J. (2014) · Addictive Behaviors · doi:10.1016/j.addbeh.2014.07.010 · Cited by 34 · see citing works
What we know about students in recovery: meta-synthesis of collegiate recovery programs, 2000-2017
Ashford, R. D., Brown, A. M., Eisenhart, E., Heller, A. T., & Curtis, B. L. (2018) · Addiction Research & Theory · doi:10.1080/16066359.2018.1425399 · Cited by 31 · see citing works
A multi-site study of emerging adults in collegiate recovery programs at public institutions
Hennessy, E. A., Tanner‐Smith, E. E., Nichols, L. M., Brown, T. B., & Mcculloch, B. J. (2021) · Social Science & Medicine · doi:10.1016/j.socscimed.2021.113955 · Cited by 30 · see citing works
Simultaneous alcohol and marijuana use among college students in the United States, 2006–2019
Hai, A. H., Carey, K. B., Vaughn, M. G., Lee, C. S., Franklin, C., & Salas‐Wright, C. P. (2022) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2022.100452 · Cited by 28 · see citing works
Sahker, E., Pro, G., Poudyal, H., & Furukawa, T. A. (2024) · The American Journal on Addictions · doi:10.1111/ajad.13465 · Cited by 28 · see citing works
Willis, E., Adams, R., & Keene, J. (2019) · Substance Use & Misuse · doi:10.1080/10826084.2019.1618334 · Cited by 27 · see citing works
Negative Consequences of Substance Use in European University Students: Results from Project SNIPE
McAlaney, J., Dempsey, R. C., Helmer, S. M., Hal, G. F. V., Bewick, B. M., Akvardar, Y., Guillén‐Grima, F., Orosová, O., Kalina, O., Stock, C., et al. (2020) · European Addiction Research · doi:10.1159/000507438 · Cited by 27 · see citing works
Peltier, M. R., Roberts, W., Verplaetse, T. L., Burke, C., Zakiniaeiz, Y., Moore, K. E., & McKee, S. A. (2022) · Archives of Women s Mental Health · doi:10.1007/s00737-022-01244-6 · Cited by 25 · see citing works
Substance use and common contributors to morbidity: A genetics perspective
Sanchez‐Roige, S., Kember, R. L., & Arpana Agrawal, A. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.104212 · Cited by 23 · see citing works
Verplaetse, T. L., Peltier, M. R., Roberts, W., Pittman, B. P., & McKee, S. A. (2021) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106815 · Cited by 16 · see citing works
Pischke, C. R., Helmer, S. M., Pohlabeln, H., Muellmann, S., Schneider, S., Reintjes, R., Schmidt-Pokrzywniak, A., Girbig, M., Krämer, A., Icks, A., et al. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.659875 · Cited by 16 · see citing works
College Student Preferences for Substance Use Disorder Educational Videos: A Qualitative Study
Andraka-Christou, B., Alex, B., & Lyneé Madeira, J. (2019) · Substance Use & Misuse · doi:10.1080/10826084.2019.1581816 · Cited by 13 · see citing works
Hembroff, L. A., Martell, D., Allen, R., Poole, A., Clark, K., & Smith, S. W. (2021) · Journal of American College Health · doi:10.1080/07448481.2019.1674856 · Cited by 11 · see citing works
Pasman, E., Agius, E., O’Shay, S., Broman, M. J., Lee, G., & Resko, S. M. (2023) · Journal of College Student Mental Health · doi:10.1080/87568225.2023.2208761 · Cited by 11 · see citing works
Self-citationWatkins, L. E., & Sprang, K. (2018) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.20180016 · Cited by 10 · see citing works
Smith, D. C., Reinhart, C. A., Begum, S., Kosgolla, J., Kelly, J. F., Bergman, B. B., & Basic, M. (2023) · PLoS ONE · doi:10.1371/journal.pone.0295330 · Cited by 9 · see citing works
Mark, K., Saini, J., & Qato, D. M. (2021) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2021.109116 · Cited by 6 · see citing works
Pasman, E., Clift, J., Broman, M. J., Madden, E. F., Agius, E., & Resko, S. M. (2023) · Journal of Drug Issues · doi:10.1177/00220426231176446 · Cited by 4 · see citing works
Self-citationKlein, H., & Washington, T. A. (2023) · Acta Psychologica · doi:10.1016/j.actpsy.2023.104092 · Cited by 4 · see citing works
Barriers and facilitators to higher education applications and admissions among people in recovery.
Pasman, E., Gannon, K., Broman, M. J., et al. (2025) · Journal of Diversity in Higher Education · doi:10.1037/dhe0000637 · Cited by 2 · see citing works
Self-citation
Flagged first, then by citations
2 of the 58 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Sahker, 2023, Evaluating the substance use disorder treatment gap in the United States, 2016−2019: A population health observational study, Am. J. Addict.
Cited by
Sorted by citations
Choi, N. G., & Marti, C. N. (2025) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph22040640 · Cited by 8 · see citing works
“A study based on the 2021 NSDUH found that college students who received SUD treatment had more severe SUD symptomology and a greater prevalence of stimulants, opioids, tranquilizers, and poly-SUDs than those who did not receive treatment [26].”
Montemayor, B. N., Flores, S. A., Hassan, A., & Lockman, A. (2025) · Journal of Prevention · doi:10.1007/s10935-025-00854-x · Cited by 5 · see citing works
Cross, A. N., & Witte, T. H. (2025) · Journal of American College Health · doi:10.1080/07448481.2025.2461612 · Cited by 2 · see citing works
Reyes-Fournier, R. (2025) · International Journal of Research Publications · doi:10.47119/ijrp1001731520257891 · Cited by 1 · see citing works
Kwon, M., Song, J. Y., Hwang, J. Y., Seong, S. J., Park, K. J., Jo, Y. T., Kim, Y. J., Ahn, M. E., & Lee, S.-K. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1717544 · Cited by 1 · see citing works
Schmidt, K. T., Holmes, A. R., Cozens, A. J., & DeLuca, J. S. (2026) · Journal of American College Health · doi:10.1080/07448481.2026.2653166 · Cited by 1 · see citing works
Gandhi, S., Fofana, S. I., Islam, M. R., & Oraby, T. F. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1695969 · Cited by 1 · see citing works
(2025) · Psychological applications and trends · doi:10.36315/2025inpact023
Predicting Substance Addiction in University Students: A DSM-5-Guided Machine Learning Model
Bustamante, P. V., & Ponce-Espinosa, H. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-09037-9_2
Attridge, M. D., & McDaniel, J. C. (2026) · Journal of Education and Human Development · doi:10.15640/jehd.v15p1
Choi, N. G., & Moore, J. (2026) · Preprints.org · doi:10.20944/preprints202603.1151.v1
Ahmed, F. Z., Andraka‐Christou, B., Harris, S., Totaram, R., & Akhil, S. (2026) · Substance Use & Misuse · doi:10.1080/10826084.2026.2645454
Posey, G., Kaur, R. P., Elbash, Z., Holloway, J. B., Pasman, E., Nist, A. N., Washam, M., Miller, W., Wang, D., & Cabral, D. A. R. (2026) · Journal of American College Health · doi:10.1080/07448481.2026.2648669
Self-citationByllesby, B. M., Cano-González, I., & Charak, R. (2026) · Traumatology An International Journal · doi:10.1037/trm0000658
Fedotov, I. A., & Shustov, D. I. (2026) · Current Psychopharmacologye · doi:10.2174/0122115560395537251126080326
Ou, T.-S., LoParco, C. R., Park, H. J., Low, A., & Lin, H. (2026) · Substance Use & Misuse · doi:10.1080/10826084.2026.2670608
Jung, M., Nguyen, J., Min, V., Looby, A. R., & Bavarian, N. (2026) · Journal of Drug Issues · doi:10.1177/00220426261455675
Shin, S. H., Tomlinson, C. A., Dvalishvili, D., & Corso, C. B. (2026) · Journal of Child & Adolescent Substance Use · doi:10.1080/29973368.2026.2676045
Montes, K. S., May, L. C., Garcia, N., Fischer, S. M., Jaramillo, A., & Perrotte, J. K. (2026) · Emerging Adulthood · doi:10.1177/21676968261471596
Qeadan, F., Nissan, M., & Thornquist, R. (2026) · Cephalalgia Reports · doi:10.1177/25158163261474168
Schmidt, K. T., Holmes, A. R., Cozens, A. J., & DeLuca, J. S. (2026) · American Journal of Health Education · doi:10.1080/19325037.2026.2716314
Fariha, T., Forster, M., & Grigsby, T. J. (2026) · Substance Use & Misuse · doi:10.1080/10826084.2026.2717425
Sultana, M., Hasan, T., Tithi, N. S., Majumder, N., & Shohag, M. M. H. (2026) · Health Science Reports · doi:10.1002/hsr2.73130
Czech, K. A., & Manczak, E. M. (2026) · Journal of American College Health · doi:10.1080/07448481.2026.2721436
Sustaining collegiate recovery programs: a literature review and SWOT analysis
Strong, M. K., & Lewis, L. E. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1898555
Smith, R. L., Miola, R. E., Yang, Y.-L., Francis, L. M., & Bannard, T. (2026) · Journal of Prevention and Health Promotion · doi:10.1177/26320770261470792
Helping Skills for Working with College Students
Burke, M. G., Sauerheber, J. D., Hughey, A. W., & Laves, K. (2026) · Routledge eBooks · doi:10.4324/9781003677819
Substance use recovery among college students in the US: data from the Healthy Minds Study 2021–2024
Silverman, A., Bell, J., Lipson, S. K., Freibott, C. E., & Vest, N. A. (2026) · Journal of American College Health · doi:10.1080/07448481.2026.2733871
Who Students Live with Matters More Than Where: Substance Use at an Urban Commuter UniversityPreprint
Citron, J. H., Schmidt, I., & Varma, N. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7545811
- Authors
- Pasman, E., Blair, L., Solberg, M. A., McCabe, S. E., Schepis, T., & Resko, S. M.
- Affiliations
- University of Michigan (US)
- Wayne State University (US)
- Texas State University (US)
- Corresponding author
- Pasman, Emily
- Venue
- Drug and Alcohol Dependence Reports
- Publisher
- Elsevier BV
- Published
- 2024-09
- Volume
- 12
- Pages
- 100279
- ISSN
- 2772-7246 (ISSN-L)
- PMC
- PMC11403413
- OpenAlex
- W4402037402
- Semantic Scholar
- d0d9f39114970e129ec8de2687ae0f66d0a8183f
- Cited by
- 24
- References
- 58
- Citations by year
- 2026: 18 · 2025: 6
- FWCI
- 7.28
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Drug and Alcohol Dependence Reports (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Institute on Drug Abuse
- National Institutes of Health (R01DA031160, R01DA043691)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Keywords
- substance use disorders, university students, treatment gap, treatment receipt, treatment access, DSM-5 diagnostic criteria, stimulant use disorder, opioid use disorder, psychological distress, insurance type, educational attainment, enrollment status, National Survey on Drug Use and Health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-07.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-07.
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