This research is a cross-sectional survey study conducted between April 2024 and December 2024. Data were collected using an anonymous online questionnaire (Google Forms).

A multi-channel recruitment strategy was employed to maximise reach among students of Wrocław universities. The survey link was distributed through: (1) the project’s dedicated Facebook page “Psychiatria też dla ludzi” (Psychiatry for People Too), where promotional posts were regularly published; (2) Facebook groups specifically created for students of Wrocław Medical University; (3) personal social media accounts of the research team members, leveraging networks of Wrocław university students; (4) in-person promotion during lectures at Wrocław University of Science and Technology, where students were encouraged to participate; and (5) printed posters and flyers displayed at strategic locations within Wrocław Medical University, including the dean’s office, the university hospital where students attend clinical rotations, and the university library. Additional printed materials were placed at the University of Wrocław and Wrocław University of Science and Technology.

To ensure that only eligible participants completed the survey, the questionnaire clearly stated at the beginning that it was intended exclusively for students enrolled at Wrocław universities. Participants were required to indicate their study mode (full-time, part-time, or evening studies) and to specify their field of study by name. This initial section served both to verify eligibility and to collect key demographic information about the study sample.

The inclusion criteria were as follows: 18 to 40 years of age, students of public and private universities located in Wroclaw, students of all university degrees, including bachelor’s degree, master’s degree, doctoral degree, students of full-time and part-time university courses.

The exclusion criteria were: adult students of high schools, students from universities located outside of Wrocław, lack of answer to questions about age, sex, university, study mode and field, employment, and marital status.

The target population consisted of students currently enrolled in universities in Wrocław. Participants were eligible if they were actively studying at any Wrocław-based higher education institution at the time of the survey.

Informed consent was obtained electronically at the start of the questionnaire. Before accessing the survey questions, all participants were presented with an introductory statement outlining the study’s purpose, guaranteeing complete anonymity, clarifying the voluntary nature of participation, and informing them of their right to withdraw at any time without consequences. Proceeding beyond this introductory page constituted implied consent to participate.

Participation was fully voluntary and anonymous. Responses were stored securely in a password-protected digital environment accessible only to the research team.

A total of 499 responses were received between April 13, 2024, and December 6, 2024. Five responses were excluded due to incomplete data, and one was excluded because the participant was attending an adult high school rather than a university, resulting in a final sample of 493 students.

The survey was developed specifically for this study and administered online via Google Forms. The questionnaire began with an introductory statement outlining the study’s purpose, guaranteeing response anonymity, and clarifying that participation was voluntary and could be terminated at any time without repercussions and that filling it implies consent to participate in the study. The instrument consisted of three main sections described.

Statistical analyses were conducted utilising the Microsoft® Excel (Version 16.89.1) data analysis ToolPack. Categorical data were expressed as counts and percentages, whereas quantitative data were represented as mean ± standard deviation (SD), median ± interquartile range (IQR), or 95% confidence interval (CI). The chi-square test was used to compare qualitative data between groups. Quantitative data analysis was performed using either the Student’s t-test or single-factor ANOVA, depending on the number of groups being compared. To analyse correlation relationships, Pearson’s correlation coefficient was calculated, followed by determining the t-statistic and converting it to p-values using Student’s t-distribution with n-2 degrees of freedom. A p-value of less than 0.05 was considered statistically significant.

The sociodemographic characteristics of respondents, including age, sex, study mode, field of study, employment and marital status, as well as social media usage, cigarette smoking habit and previous psychiatric diagnoses is summarised in Table 1.

Analysis of mental health service utilisation and satisfaction revealed varying patterns of engagement and acceptance across different treatment modalities (Table 2). Cost emerged as the primary barrier to psychiatric care access, cited by 276 (80.7%) participants, followed by limited service availability (122; 35.7%) and concerns about stigma (105; 30.7%). Additional obstacles included perceived lack of physician empathy (67; 19.6%), fear of judgment (37; 10.8%), and scepticism about treatment efficacy (34; 9.9%). Treatment acceptance patterns demonstrated the highest willingness for psychotherapy (350; 81.2%), followed by psychiatric medications (327; 75.9%). Analysis of psychological support services revealed that 135 (27.6%) participants were actively engaged in treatment. Regarding usage of all psychotropic drugs, 118 (24.3%) participants reported current use, 99 (20.4%) indicated past use, and 269 (55.3%) had never used such medications. Detailed utilisation patterns and satisfaction metrics are presented in Table 2 and Figure 1.

Analysis of alternative and complementary approaches to mental health care revealed diverse utilisation patterns and acceptance levels (Table 3). Among treatment modalities, herbal medicines demonstrated the highest acceptance. Self-initiated mood improvement strategies were widely adopted, with 474 (96.1%) participants reporting engagement in at least one method. Physical exercise emerged as the predominant strategy, followed by meditation practices and yoga. Satisfaction analysis among CAM users revealed predominantly positive experiences, with the majority reporting above-average satisfaction levels (ratings 4–5). Detailed information regarding acceptance of specific treatment modalities, utilisation frequencies of self-initiated strategies, and satisfaction distribution is presented in Table 3 and Figure 2.

Investigation of herbal preparation usage (n = 491) revealed lemon balm (Melissa officinalis) as the most frequently utilised herb by 260 (53.0%) participants, followed by ashwagandha (Withania somnifera) at 122 (24.8%) and yellow chamomile (Matricaria chamomilla) at 104 (21.2%). Common st. John’s wort (Hypericum perforatum) and lavender (Lavandula sp.) showed moderate usage at 57 (11.6%) and 54 (11.0%), respectively. Notably, 179 (36.5%) participants reported no herbal supplement use. The prevalence of examined herbs usage was depicted in Figure 3.

Analysis of substance use for mental well-being (n = 432) showed that 233 (53.9%) participants reported no substance use. Among users, marijuana/CBD was most common (135; 67.8%), followed by vitamins (97; 48.7%) and psychedelics (45; 22.6%). The numbers of responders who reported usage of particular substances for improvement of mental well-being were depicted in Figure 4.

Satisfaction ratings for substance use (n = 270) indicated predominantly moderate effects, with 122 (45.2%) reporting moderate satisfaction, 60 (22.2%) high satisfaction, and 37 (13.7%) maximum satisfaction.

Information sources for alternative therapies (n = 367) were primarily media (288; 78.5%) and friends (201; 54.8%), with minimal consultation from medical professionals (86; 23.4%) or scientific literature (10; 2.7%). Only 72 (19.2%) participants consulted healthcare providers before initiating alternative therapies.

The community appeared divided on recommending alternative treatments, with 183 (50.6%) in favour and 179 (49.4%) against.

Analysis of factors associated with mental health diagnoses and help-seeking behaviour revealed several significant patterns (Tables 4–7). Female respondents demonstrated approximately twice the prevalence compared to males (52.94% vs. 26.76%, p < 0.001).

A highly significant association was observed between smoking status and psychiatric help-seeking behaviour in the student sample - More students who reported smoking had sought psychiatric help, compared to non-smoking students. Field of study also significantly influenced diagnosis rates, with engineering students showing lower prevalence compared to social sciences and humanities students (Table 4.).

Professional help-seeking patterns were assessed in subgroups divided based on the usage of particular substances. No significant difference was observed in general herbal supplement use between those who had and had not sought professional mental health support (81.17% vs. 74.56%; p = 0.06). However, significant differences emerged in specific substance usage—the significant relationships were depicted in Table 5.

Significant sex differences were observed in the use of herbal supplements and other substances (Table 6). Female participants demonstrated significantly higher usage rates of herbal remedies overall.

Analysis of PHQ-10 scores revealed differences between users and non-users of certain substances, which were depicted in Table 7.

The relationship between yoga practice and substance use revealed selective associations. Yoga practitioners reported significantly higher marijuana usage (35.23%) compared to non-practitioners (22.33%, p = 0.002). However, no significant difference was observed in psychedelic use between yoga practitioners (10.36%) and non-practitioners (8.33%, p = 0.445).

Students with ADHD demonstrated different substance use patterns compared to those with other diagnosed disorders. ADHD-diagnosed participants reported significantly higher marijuana use (45.83%) compared to participants with other disorders (29.5%, p = 0.02). However, psychedelic use showed no significant difference between ADHD-diagnosed individuals (12.5%) and those with other conditions (8.78%, p = 0.396).

Analysis of barriers to conventional psychiatric/psychological care revealed that the primary deterrents among students using alternative methods were cost (58.9%), accessibility (25.8%), and lack of trust in therapy effectiveness (21.5%).

Attitudes towards novel psychiatric therapies with ketamine and psilocybin were examined among subgroups of marijuana, psychedelics, yoga, and meditation users. The results were depicted in Table 8.

Some of the analysed data revealed no expected associations. No significant association was found between marital status or academic disciplines and use of alternative medicine methods and self-administered substances, suggesting comparable utilisation of CAM regardless of study field and marital status. There is also no association between employment status and a pattern of seeking help from mental health professionals. Assessment of psychiatric care satisfaction revealed no significant differences between substance users and non-users, suggesting that neither marijuana nor psychedelics use has an impact on perceived quality of psychiatric care.

Our study shows that female students in Wrocław are significantly more likely to report having received a psychiatric diagnosis than males. These findings are consistent with those observed for the general population (37). However, our study also revealed significant differences between male and female students in the utilisation of CAM methods for coping with mental health issues, particularly in the use of herbal remedies. Female participants were more likely than males to use chamomile, lavender, and lemon balm. This difference aligns with existing literature suggesting that women are more inclined to seek out CAM for mental health support. For example, in one study, women with migraines or severe headaches were found to be significantly more likely than men to use CAM approaches, including herbal supplements, and this use was associated with lower levels of moderate mental distress among women—but not among men (38). Similarly, a secondary analysis of the 2012 US National Health Interview Survey showed that female CAM users were more likely to report using such therapies for general well-being and mental health reasons, compared to male users (39). Moreover, differences in CAM use between sexes are not restricted to mental health conditions. As demonstrated in one study, women with multiple chronic physical conditions were more likely than men to use various CAM modalities, including herbal therapies, suggesting a broader trend of higher CAM engagement among women across different health contexts (40).

In contrast, male students reported significantly higher usage of A. muscaria compared to female participants. Similar patterns were observed in a study by Ordak et al., which analysed consumption patterns of A. muscaria among internet users (41). The researchers found that men were significantly more likely to consume dried A. muscaria preparations, while women more often used tinctures. Additionally, male users more frequently reported using A. muscaria to self-manage symptoms of stress, depression, and insomnia, suggesting a tendency towards autonomous and potentially riskier coping strategies involving use of psychoactive substances. The study also noted that adverse effects such as nausea, vomiting, abdominal pain, and drowsiness were reported more frequently by men, which may further support the notion of more intense or unregulated use patterns. A study by Hartwig et al., revealed that declared reasons for use of A. muscaria include supposed reduction in use of other substances (alcohol, benzodiazepines, marijuana etc.), alleviation of anxiety, depression and other psychiatric disorders (42). Therefore, there is a possibility of harmful pharmacological interactions with other substances or prescribed drugs, as well as the unpredictable influence of A. muscaria on mental state. Use of A. muscaria can also lead to acute intoxication with symptoms such as respiratory failure and coma (43, 44). In our opinion, those factors combined create an issue that should be addressed by further issue, especially concerning male students.

Despite the observed differences in psychiatric diagnosis rates across academic disciplines, no significant differences were identified in the frequency of utilising alternative treatment methods among students from various fields of study. This observation is in line with findings from a study conducted among university students in Atlanta, New Delhi, and Newcastle upon Tyne (45). Similarly, the relationship status of participants has no impact on their therapeutic choices. Both individuals in romantic relationships and single individuals demonstrated similar tendencies to engage in alternative forms of treatment. Widespread use of CAM among students, independent of the mentioned factors, suggests that a shift towards integrative approaches to health is a broader cultural trend. This may be caused by the common occurrence of CAM in media, which is reflected in our study results - for 78.5% of students media were a source of information about alternative therapies. Moreover, 47.0% of respondents spent more than 3 h daily using social media. The popularity of CAM in the media may be stimulated by paid advertising, especially in the case of legal products, such as herbal supplements. Even though our analysis revealed no association between social media and CAM usage. More comprehensive research is needed to assess cultural factors affecting CAM popularity among students.

Another factor influencing the popularity of CAM among Wrocław students is the lack of access to conventional, professional help. Respondents in our study pointed out that cost is the main obstacle (80.7%). The population of university students is particularly vulnerable to high costs of private psychiatric and psychological care - as our study shows, only 45.8% of students were employed during their education. Also availability of public mental health care was a limiting factor for 35.7% of respondents. As for Wrocław, waiting time for psychiatric consultation ranges from 21 days to over 3 years, however, in most institutions, patients have to wait 2–6 months (46). Obstacles revealed by our study also include psychological factors: fear of stigma, lack of physicians’ empathy and fear of judgment. These prejudices can be aggravated by a current mental health disorder in patients with anxiety and negative beliefs, but do not necessarily lack rationality: a study on undergraduate medical students from 65 countries showed widespread occurrence of stigmatisation of psychiatry and psychiatric patients (47). However, the stigma associated with mental health and psychiatric care is a complex, multidimensional phenomenon that differs significantly across ethnic and cultural contexts (48). In a study by Newberry et al., the two most common barriers preventing patients from accessing mental healthcare were concerns about treatments available (65%) and financial cost (62.7%) (49). “Being seen as weak” was an additional reported barrier, although not the prime one. Our study highlights that stigmatisation is still a significant issue that should be considered by public health specialists in some populations. More research is needed to analyse cultural and societal stigma in the context of academia, particularly in Poland.

In our study, marijuana users demonstrated significantly more intense depressive symptoms compared to non-users. A similar observation has been made in other studies concerning the population of university students (50–52). Two models have been postulated to explain this association. The first is known as the precipitation model (53), whereby drug use may trigger psychopathology via neuroadaptation in brain reward pathways that can lead to subsequent development of psychiatric disorders. Individuals who routinely use marijuana have significantly altered brain structures and functions, including cognition and mood regulation, which may potentially result in long-lasting amotivational syndrome (54). One longitudinal study found that cannabis use was associated with an increased number of depressive symptoms at follow-up, including anhedonia, changes in body weight, sleep disorders, and psychomotor problems (55). A second hypothesis explaining the aforementioned association is the self-medication model (56), which postulates that psychiatric disorders may cause an increase in drug use due to their ability to alleviate some of the mental health symptoms. Indeed, individuals with clinical or subthreshold depression may find acute relief of symptoms as cannabis intoxication can induce positive effects on mood (e.g., euphoria) and relaxation (57). Interestingly, research on the effects of acute intoxication in adulthood shows that cannabis reduces amygdala response to negative faces, potentially reflecting an anxiolytic effect that can reduce depressive symptoms (58).

In our study, marijuana consumption was higher among those who had received professional support compared to those who had not. Apart from the above-mentioned association between depressive symptoms and cannabis use, it might also be partially explained by the fact that Poland presents a liberal approach to medical cannabis prescriptions. The Ministry of Health requires no additional training or certificates for prescribing herbal cannabis. Furthermore, the decision to initiate treatment and the responsibility for choosing proper indication and dosing relies solely on the prescribing physician because no official guidelines define these. As a result, some physicians may prescribe medications for psychiatric indications (59). Although there is weak evidence for cannabinoids’ beneficial effects in anxiety and mood disorders, their use in psychiatric disorders remains largely unexplored due to a lack of valid, reliable, empirical evidence (60, 61). This issue should be further investigated and addressed by public health policies to avoid the risk of cannabinoids’ negative impact on psychiatric patients. We suggest that physicians treating students should always inquire about their marijuana consumption and provide them with information about marijuana’s adverse effects, e.g., in the form of a psychoeducative leaflet.

Although our study showed that the majority of students were satisfied with professional mental health care (33.6% reported the highest satisfaction and 30.5% very high satisfaction), as well as psychotropic drugs (29.3 and 33.9%, respectively), patients who use alternative methods for treating mental problems rarely consult them with specialists such as psychiatrists or psychologists (19.2%). Students either take both prescribed drugs and self-administered substances at the same time, or they choose alternative therapy instead of consulting a psychiatrist and conventional therapy. In the first case, such behaviour can result in potentially harmful drug-substance interactions.

One of the most notable examples is st. John’s wort (Hypericum perforatum), which contains the active substance hyperforin. It can induce cytochrome P450 enzymes, mainly CYP3A4 and change the pharmacokinetics of many drugs, including benzodiazepines and carbamazepine (62). In the Polish population, cases of clinically significant interactions were also noted between st. John’s wort and duloxetine, haloperidol, quetiapine, clorazepate, clonazepam (63). In conjunction with other serotonergic drugs it can cause even fatal serotonin syndrome (64). Furthermore, hyperforin alone can have side effects, such as gastrointestinal symptoms, dizziness, confusion, tiredness, sedation and photosensitivity (65, 66). Our study showed that the prevalence of st. John’s wort intake among students is high (11.6%), potentially making it a significant problem for public health. However, as some evidence shows the efficiency of st. John’s wort in the treatment of mild to moderate depression (67), its usage under a psychiatrist’s supervision can be taken into consideration, especially in patients who are reluctant to conventional treatment.

Another herbal medicine, ashwagandha (Withania somnifera), was used by 24.8% of participants. It is considered potentially beneficial for stress and anxiety (68, 69) or even schizophrenia (70). Even though the evidence suggests that ashwagandha can be used in the treatment of anxiety, its efficacy is still unsatisfactorily assessed (71). Our research showed that ashwagandha users also exhibited significantly higher PHQ-10 scores compared to non-users. This may be interpreted through the lens of the self-medication model: students with more severe mental health problems more often use such substances to alleviate their symptoms. As previously said, some studies have reported beneficial effects of ashwagandha supplementation in depressive symptoms (72, 73), as well as anti-stress and anti-anxiety effects in both animal models and clinical research (74, 75). It is well established that stress can lead to both functional and structural brain changes and is a known contributor to depression (76). As such, the antidepressant effects of ashwagandha may stem from its ability to regulate the hypothalamic–pituitary–adrenal (HPA) axis (74).

As for safety, adverse events were identified in ashwagandha users, notably liver toxicity, probably through DNA damage (77). It is also suggested that ashwagandha root extract may be a CYP3A4 inducer or CYP2B6 inhibitor, which can lead to pharmacological interactions (78). These two examples show that self-administered therapy with herbal medicine, especially in combination with conventional drugs, can lead to harmful effects. Our study suggests that incidence may be high, as many students use such substances. However, our study shows that the most common herb among students in Wrocław was lemon balm (Melissa officinalis)(used by 53.0% respondents), which is considered substantially safe, with very rare adverse events (79). Some evidence even suggests that it may be effective in anxiety and depressive symptoms, although studies are highly heterogeneous and further research is needed (80). Similarly, yellow chamomile (Matricaria chamomilla; 21.2%) is rather safe and can help improve the quality of sleep or in generalised anxiety disorder (GAD) (81). In conclusion, some of the commonly used herbs can be helpful as complementary therapy in less severe disorders, but specialist surveillance is recommended, especially in the case of ashwagandha and st. John’s wort. Therefore, we suggest active screening for the use of non-prescribed substances during psychiatric consultation, especially in the population of university students.

The renaissance of research in the field of psychedelic therapy brought public attention to therapeutic usage of lysergic acid diethylamide (LSD), psilocybin, ketamine etc. in psychiatric disorders. As long as there is evidence of efficacy of particular psychedelic therapies (82, 83), concerns and problems in methodology affect the reliability of studies involving administration of psychedelics. In result, in most countries, including Poland, psychedelics aren’t registered in therapy other than experimental, apart from esketamine, registered for treatment-resistant depression (84). As this subject sparks controversy among specialists, the attitude of patients towards such therapy can be unenthusiastic. Our study showed that fewer students would agree to both ketamine and psychedelic therapy (19.0 and 22.5% respectively) than to classic psychiatric medications (75.9%). What’s interesting, acceptance for scientifically proven and relatively safe electroconvulsive therapy was even lower (18.6%), suggesting that other factors than hard evidence may have an impact on public opinion, such as depictions in culture or associated stereotypes. In the case of psychedelics and ketamine, our study showed that their acceptance was significantly higher among students who already used marijuana and psychedelics, as well as in meditation practitioners and yoga practitioners, but in this case only for psychedelics, not ketamine. These findings are supported by literature showing a link between meditation practice and classic psychedelics usage, which both lead to disruption of self-consciousness and ego dissolution (85, 86). Yoga and meditation are also often associated with open-mindedness. As Turiano et al. noted in their study, higher levels of openness, among few other personality traits, predicted longitudinal substance use (87). Health professionals should remain aware of the potential vulnerability of yoga and meditation practitioners to drug use (88). This appears to be consistent with our results.

Although individuals who engage in yoga and meditation may exhibit a higher likelihood of substance use, the consistent positive associations between these practices and a range of health-promoting behaviours justify their inclusion in preventive medicine and integrative healthcare approaches (88). Its positive influence on mental well-being has been extensively touched upon in numerous studies (89–92). Moreover, our study revealed that physical activity is the predominant method of self-initiated mood improvement strategies among students. The role of exercise in mental health improvement was previously determined, showing its positive impact on psychological well-being (93, 94). Physical activity can also be utilised to treat concomitant diseases and metabolic side effects of psychiatric medications. As the positive influence of physical activity, yoga, and meditation on mental health can be clearly noticed, and as, according to the results of our study, it is widely accepted by patients, those CAM methods should be considered in therapeutic strategies by mental health specialists.

Even though the authors maintained the regulations of ICC/ESOMAR International Code on Market, Opinion and Social Research and Data Analytics, this study has several limitations that should be acknowledged. First, the use of a convenience sampling method and voluntary participation may have introduced self-selection bias, as students with a particular interest in mental health or alternative therapies may have been more likely to respond. The percentage of respondents with a previous psychiatric diagnosis in the sample was 46.5%, which seems to be high, however, studies on larger groups show the prevalence of mental health problems among students is even up to 60% (95). Second, the cross-sectional design does not allow for causal inferences regarding the relationships between mental health status and the use of alternative treatments. Third, all data were self-reported, which may be subject to recall bias or social desirability bias, particularly in responses related to sensitive topics such as psychiatric diagnoses or use of psychoactive substances. Additionally, although efforts were made to reach a diverse student population, the sample may not be fully representative of all students across Wrocław universities. Lastly, a modified version of the PHQ-9 with an extended timeframe (12 months instead of 2 weeks) was used. While this modification allowed for capturing longer-term mood disturbances relevant to the research subject, it represents a deviation from the validated instrument. The modified version was not independently validated, and the standard PHQ-9 cut-off scores may not be directly applicable to a 12-month recall period. The tool was used for screening purposes to identify the presence of depressive symptoms and mood disturbances, not for clinical diagnosis. Future studies should consider using both short-term and long-term assessment tools or conduct validation studies for extended timeframe versions of standardised instruments.