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Original Article
3 (
2
); 82-87
doi:
10.25259/FH_93_2025

Need for specialty addiction clinic services: Findings from a newly established addiction medicine clinic

Department of Psychiatry, All India Institute of Medical Sciences, Raebareli, Munshiganj, Raebareli, Uttar Pradesh, India

* Corresponding author: Dr. Akash Kumar, Department of Psychiatry, All India Institute of Medical Sciences, Raebareli, Uttar Pradesh, India. dr.akashkumar78@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Kumar A, Sinha S, Padma K. Need for specialty addiction clinic services: Findings from a newly established addiction medicine clinic. Future Health. 2025;3:82-7. doi: 10.25259/FH_93_2025

Abstract

Objectives

Substance use disorders (SUDs) are increasingly prevalent in India and associated with substantial treatment gap. Enhancing accessibility of addiction services and tailoring them to the needs of target populations are critical strategies for bridging this gap. The specialized Addiction Medicine Clinics (AMCs) have the potential to facilitate treatment-seeking, mitigate stigma, and improve the quality of addiction care. The current retrospective data analysis was done to highlight need for such AMCs in the region at tertiary care centers.

Material and Methods

The present study examined service utilization during the initial four months of a newly established weekly AMC in a tertiary care Hospital in Uttar Pradesh. The AMC operates every Thursday, providing both outpatient and inpatient services. A retrospective analysis was conducted on data from 125 patients who attended the clinic during this period.

Results

The study found a substantial number of patients attending the clinic during the initial 4 months following its establishment. There were approximately equal proportions of new and follow-up consultations, indicating good retention. Most patients were men aged 25-59 years, predominantly from the district where the institute is located, with a smaller proportion from adjacent districts. Alcohol (51.2%) and tobacco (58.5%) were the most frequently reported substances for which treatment was sought, followed by opioids (40.8%) and cannabis (16%).

Conclusion

These findings suggest that the establishment of an AMC is a feasible approach to improving access to treatment for SUDs. Nonetheless, the very low representation of women among treatment seekers underscores the need to consider gender-specific interventions, including dedicated services for women with SUDs.

Keywords

Addiction medicine clinic
North India
Substance use disorders
Tertiary care center
Treatment gap

INTRODUCTION

Substance use disorders (SUDs) pose a significant public health problem globally, which is also on the rise. The national survey on the magnitude of substance use in India highlights the spectrum of substance use in the country, with 14.6% of individuals aged 10-75 years being current alcohol users, while 2.8% and 2.1% are cannabis and opioid users, respectively.1 Moreover, they are associated with a substantial mental health gap;1 these findings are supported by the National Mental Health Survey of India conducted in 2015-2016.2

The first step in reducing the treatment gap would involve defining the extent of the problem. While the overall prevalence of substance use in India may appear lower than global averages, the prevalence rate for opioids is notably higher.3 Also, the extent and type of substance use vary region to region across the country. Despite certain states of India being declared as “dry” states, the problem of substance use continues to smolder, especially amongst the youth who are also experimenting with newer psychoactive substances. Community-based studies have revealed variations in the extent and magnitude of substance use problems within and between the states. For example, in Eastern Uttar Pradesh, the overall prevalence of substance abuse was found to be 36.9%.4

A meta-analysis in the United Kingdom revealed that approximately 1 in 5 hospital patients experience harmful alcohol use, and 1 in 10 suffer from alcohol dependence syndrome.5 Similarly, a cross-sectional study in an Indian multidisciplinary teaching medical institution found that 37.6% of inpatients reported lifetime use of any psychoactive substance, with tobacco (31.4%), alcohol (23.8%), and cannabis (4.1%) being the most common.6 These data may have an important role in planning treatment and allocating resources appropriately. Moreover, although addressing the overall problem of substance use requires a multi-disciplinary or intersectoral approach, one of the effective and viable approaches to intervention is to engage and treat substance users visiting health facilities.

Hence, it is important to generate more data and report findings from within different areas of the country. Such data may not only be helpful in understanding the sociodemographic correlates of SUDs at the regional level but also be helpful for policymakers to bring about pragmatic solutions to the burden of SUDs.

To effectively address the pervasive issue of SUDs, there is a clear need to shift treatment paradigms. Community clinics like community outreach clinics run by de-addiction and treatment center (DDTC) PGIMER, Chandigarh, and Community Drug Treatment Clinics by The National Drug Dependence Treatment Centre (NDDTC), All India Institute of Medical Sciences (AIIMS), New Delhi, offer a promising approach by moving from long-term inpatient care for a few to low-intensity outpatient treatment for many, thereby contributing to bridging the treatment gap and reducing mental health or SUDs-related stigma in India.7 However, Outpatient Clinics in various medical institutions still form the backbone of the treatment of SUDs in the country. Many hospitals and medical colleges are providing specialty addiction medicine services to cater to the special needs of people with SUDs. A specialty clinic provides an easier, approachable, and specialized care to the subgroup. Such a service may improve accessibility to services, motivate patients to seek treatment in a non-stigmatized manner, and help to reduce the treatment gap in SUDs.8-10

This paper discusses findings from the patients attending the newly established Addiction Medicine Clinic (AMC) of a multispecialty clinic in Central India. Such findings may enrich the literature with the felt need for more such services in other regions.

MATERIAL AND METHODS

Setting

The Department of Psychiatry at the AIIMS Raebareli, Uttar Pradesh, initiated outpatient services in 2020 during the COVID-19 pandemic. Over the subsequent five years, the outpatient attendance in the department expanded considerably, reaching more than 150–200 patients per day. An Addiction Treatment Facility (ATF) has also been operational on the same premises since 2021, functioning six days a week (Monday to Saturday) under the aegis of the NDDTC, India.

Typically, a patient with SUD would be attending the general psychiatry Outpatient Department (OPD) along with other patients for evaluation by a psychiatrist, and after consultation and receiving management of co-morbidities, if any, and non-pharmacological interventions, they would be registered in the ATF for medication dispensing and counselling services if required. Individuals with SUDs often experience long waiting times, limited opportunities for detailed evaluation, and greater visibility among the general patient population. This sometimes led to hesitation in help-seeking due to both stigma among patients with SUDs toward other psychiatric disorders and to perceived stigma related to their own SUD. Additionally, the focus of ATF has largely been on routine dispensing of medications and counselling.

There remained a need for a more specialized, patient-friendly setting for those with SUDs. To address this gap, a weekly AMC was established within the department in April 2025. It runs every Thursday, operating separately from the daily general psychiatry clinic. All clinics, i.e., general psychiatry, ATF, and AMC, run in the same premises of the institute. The clinic offers both outpatient (OPD) and Inpatient Department (IPD) services to patients with SUDs.

Service Delivery - The AMC treating team comprises a dedicated consultant psychiatrist, a clinical psychologist, a senior resident, and a junior resident. The clinic plays a key role in detailed evaluation, treatment decisions, and initiation, while also providing clinical interventions. Rather than functioning in isolation, the AMC works in close coordination with the ATF team in an integrated manner, with reciprocal patient flow as per clinical needs. By offering a clinic with lower footfall, a focused team, and a clear identity, the AMC enables patients with SUDs to receive more individualized attention while also reducing the sense of stigma that can accompany treatment in larger, mixed clinical settings. The ATF continues to provide ongoing medication dispensing and counselling support. Together, this integrated model enhances continuity of care while addressing stigma and ensuring that patients with SUDs have access to both routine and specialized services.

Data collection

In this retrospective data analysis, patient data from the weekly AMC, covering the period from April 2025 to 31 July 2025, were extracted from the hospital records. In this study, a general overview of the substances for which patients sought help is presented. The authors plan to conduct an in-depth analysis of specific disorders and their socio-demographic and clinical correlates later, which would warrant at least 12 months of data.

Analysis

The data (socio-demographic and clinical details of the participants) were compiled in Microsoft Excel and subjected to descriptive analysis (central tendencies, frequency [%]) using JAMOVI version 2.6.2.11

RESULTS

A total of 125 patients attended the specialty AMC over the period of four months. The mean age of the patients was 35.5 (SD = 11.6) years, with the age range varying from 18 to 69 years [Table 1]. As the institute conducts a separate child and adolescent psychiatry clinic on a different day, no patients below 18 years of age were seen in the AMC. There were 116 (92.8%) visits by male patients and about 9 (7.2%) visits by female patients.

Table 1: Demographic details of patients visiting the AMC (N=125)
S. No. Characteristic N Percentage
1. Age Mean 35.5 -
Median 32 -
Minimum 18 -
Maximum 69 -
2. Sex Male 116 92.8%
Female 9 7.2%
3. Type of visit Follow up 64 51.2%
First visit 61 48.8%
4. District Rae Bareli 111 88.8%
Pratapgarh 3 2.4%
Fatehpur 4 3.2%
Lucknow 1 0.8%
Amethi 4 3.2%
Unnao 1 0.8%
Moga (Punjab) 1 0.8%

AMC: Addiction medicine clinics

Of the total 61 were new cases, while 64 were follow-up cases (including patients who had registered in the AMC during the four-month study period, as well as those registered earlier in other psychiatry outpatient services but who began follow-up in the AMC during this timeframe). In terms of geographic distribution, most were from Raebareli district (n = 118, 88.8%), where the institute is located. Smaller numbers, however, also hailed from Amethi (n = 4, 61 km), Fatehpur (n = 4, 60 km), and Pratapgarh (n = 3, 72 km). One patient each presented from Unnao (102 km), Lucknow (80 km), and from another state, Punjab (Moga, 970 km).

With respect to substances used [Table 2], tobacco (58.4%, n = 73) and alcohol (51.2%, n = 64) were the most common, followed by opioids (40.8%, n = 51), cannabis (16%, n = 20), and inhalants (0.8%, n=1). Regarding patterns of multiple substance use, the most frequent categories was combined alcohol and tobacco users (31.2%, n = 39). Other combinations included alcohol, tobacco, and cannabis (12%, n = 15); opioid and tobacco (9.6%, n = 12); and cannabis and tobacco (3.2%, n = 4). A single patient (0.8%) reported use of all four substances (alcohol, tobacco, cannabis, and opioids), and one patient reported exclusive inhalant use. Among single-substance users, opioids were the most common (31.2%, n = 39), followed by alcohol (8%, n = 10) and tobacco (3.2%, n = 4).

Table 2: Visits to AMC according to type of substance use (N = 125)
S. No. Category Substance N Percentage
1. Type of substance Alcohol 64 51.2%
Tobacco 73 58.4%
Opioid 51 40.8%
Cannabis 20 16.0%
Inhalants 1 0.8%
2. Single and comorbid substance use Alcohol only 10 8.0%
Tobacco only 4 3.2%
Opioid only 39 31.2%
Inhalants only 1 0.8%
Alcohol & tobacco 39 31.2%
Opioid & tobacco 12 9.6%
Cannabis & tobacco 4 3.2%
Alcohol, tobacco, & cannabis 15 12.0%
Alcohol, tobacco, cannabis, & opioid 1 0.8%

AMC: Addiction medicine clinics

Age-wise distribution [Table 3] showed that alcohol and tobacco use were most prevalent among adults (alcohol: 45.6%, n = 57; tobacco: 52%, n = 65). Smaller proportions were noted among older adolescents (alcohol: 3.2%, n = 4; tobacco: 4%, n = 5) and young adults (both alcohol and tobacco: 2.4%, n = 3). No cases of alcohol or tobacco use were recorded among older adults (>60 years).

Table 3: Age group wise distribution as per type of substance use (N = 125)
S. No. Substance Age group N Percentage
1. Alcohol Older adolescents/youth (18 to 19 yrs.) 4 3.2%
Young adults (20 to 24 yrs.) 3 2.4%
Adults (25 to 59 yrs.) 57 45.6%
Older adults (60 to 99 yrs.) 0 0.0%
2. Tobacco Older adolescents/youth (18 to 19 yrs.) 5 4.0%
Young adults (20 to 24 yrs.) 3 2.4%
Adults (25 to 59 yrs.) 65 52.0%
Older adults (60 to 99 yrs.) 0 0.0%
3. Opioid Older adolescents/youth (18 to 19 yrs.) 0 0.0%
Young adults (20 to 24 yrs.) 2 1.6%
Adults (25 to 59 yrs.) 42 33.6%
Older adults: (60 to 99 yrs.) 7 5.6%
4. Cannabis Older adolescents/youth (18 to 19 yrs.) 5 4.0%
Young adults (20 to 24 yrs.) 2 1.6%
Adults (25 to 59 yrs.) 13 10.4%
Older adults (60 to 99 yrs.) 0 0.0%
5. Inhalants Older adolescents/youth years (18 to 19 yrs.) 0 0.0%
Young adults (20 to 24 yrs.) 0 0.0%
Adults (25 to 59 yrs.) 1 0.8%
Older adults (60 to 99 yrs.) 0 0.0%

*yrs. – years

For opioid use, the majority were adults (33.6%, n = 42), followed by older adults (5.6%, n = 7) and young adults (1.6%, n = 2); no adolescent opioid users were observed. Cannabis use was predominantly reported among adults (10.4%, n = 13), followed by older adolescents (4%, n = 5) and young adults (1.6%, n = 2). The single inhalant user belonged to the adult age group.

DISCUSSION

The analysis of the AMC during its initial four months of operation (April–July 2025) provides important insights into the demographic and substance-use characteristics of individuals seeking care in a newly established specialty clinic within a tertiary-care setting in North India.

The mean age of patients presenting to the AMC was 35.5 years (SD = 11.6). This finding is consistent with existing literature.12-14 For instance, in a national survey by Avasthi et al.12 on epidemiology of substance use in India, the mean age of participants was 36.3 years. Another study in Gujarat, India, reported that about 67% of patients with SUDs seeking de-addiction services were in the age range of 25-45 years.14 Similarly, the present findings highlight that adults, particularly those in middle adulthood, constitute most treatment seekers. This pattern is in line with both national and global trends, as reflected in the National Survey on Extent and Pattern of Substance Use in India (2019).4

Of the total patients (n=125) who attended the clinic during the study period, there was an almost equal distribution of new (48.8%) and follow-up (51.2%) cases. This pattern suggests consistent patient retention even within the short operational span of the AMC. The relatively high proportion of follow-up cases may be explained by referrals from other psychiatry outpatient services to the AMC for specialized care. Additionally, individuals previously engaged in treatment at the ATF and were coming for follow-up on general OPD days, which have been operational six days a week in the same department since 2021, may have opted to visit on AMC days instead of general OPD days due to easier accessibility and reduced patient load compared to general outpatient days.

A separate clinic day appears to attract patients from general OPD days to the specialty AMC day, likely due to reduced footfall, lesser stigma, and the availability of more specialized care, in addition to the ATF services that operate six days a week. One possible mechanism for stigma reduction is that patients with substance use may avoid psychiatric OPDs, perceiving them as meant only for those with severe mental illness, or often loosely termed mad people in that region. A dedicated day and clinical team make patients with SUDs more comfortable attending a specialized clinic, while also enabling the institute to highlight available services and allocate resources for addiction treatment in the region. For example, awareness programs showcasing the institute’s specialty clinic may attract more patients to seek treatment for SUDs. This integrated service model may also have contributed to improved patient retention in follow-up. However, a formal assessment of stigma reduction was not conducted in the present study and may be a topic for future investigation.

In the present study, there was an overwhelming male predominance among attendees (92.8%), consistent with previous Indian studies, where cultural, social, and stigma-related barriers deter women from accessing addiction treatment services.15,16 However, this gender disparity underscores the need to enhance access and reduce stigma for female substance users. It is important to understand the biological, psychological, and social differences between men and women, as these factors may influence the development, maintenance, and treatment of SUDs.17 Notably, one Indian study in eastern Uttar Pradesh reported a higher prevalence of tobacco use among females compared to males.4 Despite this, cultural restrictions, stigma associated with treatment seeking, and dependence on male family members for accessing services may contribute to lower treatment-seeking among women, despite the significant burden of substance use in this population

In terms of geographical distribution, most patients (88.8%) were from the Raebareli district. This finding reflects the importance of geographical proximity in determining healthcare access, particularly for chronic and stigmatized conditions such as SUDs. Attendance from neighboring districts was relatively low, further underscoring the role of location in accessing such services.

The prevalence of tobacco use (58.4%), alcohol use (51.2%), and opioid use (40.8%) in our study was particularly high, followed by cannabis (16%) and inhalants (0.8%). These patterns resonate with national surveys and other epidemiological studies from community-based settings for e.g. a study conducted by Rao et al.6 among 290 in-patients in a medical college in India, reported that 37.6% had lifetime use of any psychoactive substance, with tobacco being the most common (31.4%), followed by alcohol (23.8%) and cannabis (4.1%). These findings are comparable to our study, highlighting the dual burden of legal (tobacco, alcohol) and illicit (opioids, cannabis) substances in the community.

The relatively high prevalence of opioid use (40.8%) in our cohort may be explained by patients already enrolled in the ATF’s opioid substitution therapy (OST) program who also began attending the AMC on specialty days instead of general OPD days.

With respect to comorbid substance use, only 43.2% of individuals reported single-substance use, while the remainder engaged in multiple-substance use (≥ 2 substances). The most common combination was alcohol-tobacco (31.2%), followed by alcohol-tobacco-cannabis (12%). One individual reported use of all four substances (alcohol, tobacco, opioids, and cannabis), underscoring the complexity and severity of substance use problems. These findings highlight the necessity for clinicians to routinely screen for polysubstance use, which complicates treatment and adversely affects prognosis. These findings are consistent with worldwide data reported by Saha et al.18 among more than 36,000 patients, where 12-month alcohol use prevalence was 72.7%. Among alcohol users, 62.0% used alcohol alone, 21.6% used alcohol with nicotine, 8.1% used alcohol with other drugs, 4.6% used alcohol, nicotine, and cannabis, and 3.7% used alcohol and cannabis together.

Concerning the age distributions of the substance users for different substances, a multicenter cross-sectional study conducted across 15 Indian states among 1,630 young people (10–24 years) attending primary health centers reported a prevalence of substance use of 32.8%, with a median age of initiation at 18 years. Among users, 75.5% began before completing adolescence. Tobacco (26.4%), alcohol (26.1%), and cannabis (9.5%) were the most consumed. In contrast, in our study, most users across substances were adults aged 25-59 years, although a small but concerning proportion of older adolescents (15-19 years) reported alcohol, tobacco, and cannabis use. It is important to note that the department operates a separate child and adolescent clinic on another weekday; hence, patients younger than 18 years may not have presented to the AMC. This likely accounts for the relatively small number of adolescents in our dataset. Notably, no opioid use was reported in the 15–19 years age group, whereas among adults aged 25-59 years, opioid use was 33.6%, and among older adults aged 60-99 years, it was 5.6%, raising concerns of both chronicity and late-onset use.19

This early dataset from a newly established AMC demonstrates that, even within a short period, there is both demand for and utilization of specialized addiction services in semi-urban settings. The presence of follow-up patients indicates early signs of engagement and possible treatment adherence.

Limitations

The current study has come with crucial limitations that warrant mention. First, the dataset covers only a four-month period and 125 patients, which limits the generalizability of the findings. Second, data regarding the exact diagnosis, specifically whether substance use was categorized as harmful use or dependence, could not be obtained at this stage and, therefore, was not included in this analysis. Third, the observed service utilization and retention may have been substantially influenced by the presence of the ATF, which has been operational for a longer duration in the institute and may have enhanced recognition of the AMC through a snowball effect. Fourth, the availability of other addiction treatment centers in nearby districts may also have influenced treatment-seeking patterns from those areas, thereby limiting the generalizability of the current findings. Fifth, this study provides only a general overview of the substances for which patients sought help; other important variables like comorbid psychiatric conditions, family history of substance use, and previous treatment-seeking were not explored. The authors plan to examine these variables in greater depth in future research.

CONCLUSION

The establishment of the AMC at the institute has the potential to address the crucial gap in addiction treatment within the region. Patient profiles indicate a complex pattern of substance use, predominantly among middle-aged males, with high rates of polysubstance use. These findings underscore the need for integrated interventions that are age- and gender-sensitive and tailored to address multiple substances. Collection of data over longer periods will provide a more comprehensive understanding of trends, treatment outcomes, and service needs, thereby informing service expansion and policy decisions.

Author contributions

AK: Concept, analysis and manuscript preparation; SS: Manuscript preparation; KP: Manuscript preparation.

Ethical approval

The research/study approved by the Institutional Review Board at All India Institute of Medical Sciences, Raebareli, number 2026-1-OTH-EXP-12, dated 06th January 2026.

Declaration of patient consent

Patient’s consent not required as patients identity is not disclosed or compromised.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation

The authors confirm that they have used artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript or image creations.

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