Datasets:

electricsheepafrica
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substance-use-disorders

id int64	age_years int64	sex string	adolescent int64	education string	employed int64	urban int64	homeless int64	primary_substance string	polysubstance int64	secondary_substance string	age_first_use int64	years_of_use int64	frequency string	injection_drug_use int64	audit_score int64	severity string	withdrawal_symptoms int64	previous_treatment int64	relapse_history int64	depression int64	anxiety int64	psychosis int64	hiv_positive int64	liver_disease int64	trauma_injury int64	domestic_violence_perpetrator int64	suicidal_ideation int64	sought_treatment int64	treatment_type string	treatment_completed int64	barrier_to_treatment string	abstinent_6_months int64	reduced_use int64	functional_improvement int64
1	31	M	0	tertiary	0	1	0	tobacco	0	none	15	16	weekly	0	0	moderate	0	0	0	0	0	0	0	0	0	0	0	1	traditional_healer	0	none	0	0	0
2	21	F	0	tertiary	0	1	0	alcohol	1	opioids	21	0	occasional	0	15	moderate	0	0	0	1	1	0	0	0	0	0	0	0	none	0	no_awareness	0	0	0
3	16	M	1	secondary	0	1	0	khat	1	opioids	16	0	daily	0	0	severe	0	0	0	0	0	0	0	0	1	0	1	0	none	0	no_services	0	0	0
4	13	F	1	secondary	0	1	0	alcohol	0	none	13	0	weekly	0	9	mild	0	1	1	1	0	0	0	0	0	0	0	0	none	0	no_awareness	0	0	0
5	21	M	0	none	0	1	0	cannabis	1	tobacco	18	3	daily	0	0	moderate	0	0	0	1	1	0	0	0	0	0	0	0	none	0	denial	0	0	0
6	35	M	0	primary	1	0	0	alcohol	1	opioids	16	19	daily	0	8	severe	0	0	0	0	0	0	0	1	0	1	0	0	none	0	stigma	0	0	0
7	42	M	0	primary	0	1	0	cannabis	1	alcohol	11	31	monthly	0	0	mild	0	0	0	0	0	0	0	0	0	0	0	0	none	0	cost	0	0	0
8	26	F	0	tertiary	1	1	0	khat	1	inhalants	17	9	monthly	0	0	severe	0	1	0	1	1	0	0	0	0	0	0	0	none	0	cost	0	0	0
9	37	M	0	secondary	1	0	0	alcohol	0	none	10	27	occasional	0	32	severe	0	0	0	0	0	0	0	0	0	1	0	0	none	0	fear_legal	0	0	0
10	14	M	1	secondary	1	1	0	opioids	1	cannabis	14	0	occasional	0	0	mild	0	1	1	1	0	0	0	0	0	0	0	0	none	0	stigma	0	0	0
11	24	M	0	secondary	1	1	0	alcohol	1	khat	20	4	weekly	0	30	moderate	0	0	0	1	0	0	0	0	1	1	0	0	none	0	no_services	0	0	0
12	19	F	1	secondary	0	1	0	tobacco	0	none	10	9	weekly	0	0	severe	0	0	0	0	0	0	0	0	0	0	0	0	none	0	no_services	0	0	0
13	49	M	0	secondary	0	1	1	cannabis	1	alcohol	12	37	daily	0	0	severe	1	0	0	1	1	1	1	0	0	0	1	0	none	0	denial	0	0	0
14	29	M	0	secondary	0	0	1	alcohol	1	inhalants	24	5	weekly	0	23	mild	0	0	0	0	1	0	0	0	1	0	1	0	none	0	fear_legal	0	0	0
15	16	F	1	secondary	0	0	0	cannabis	0	none	16	0	weekly	0	0	moderate	0	0	0	1	1	0	0	0	0	0	0	0	none	0	cost	0	0	0
16	27	M	0	primary	0	0	0	alcohol	0	none	22	5	weekly	0	26	moderate	0	0	0	1	0	0	0	0	0	0	0	0	none	0	stigma	0	0	0
17	46	M	0	tertiary	1	0	0	cannabis	0	none	13	33	occasional	0	0	moderate	0	0	0	1	0	0	0	0	0	0	0	0	none	0	denial	0	0	0
18	32	M	0	secondary	0	1	0	alcohol	0	none	19	13	monthly	0	26	moderate	0	0	0	0	0	0	0	0	0	1	0	0	none	0	cost	0	0	0
19	42	M	0	tertiary	0	1	0	cocaine	0	none	19	23	daily	0	0	severe	0	1	1	0	1	0	0	0	0	0	0	0	none	0	cost	0	0	0
20	32	F	0	secondary	1	0	0	alcohol	0	none	18	14	occasional	0	14	severe	0	1	0	1	0	0	0	0	0	0	0	0	none	0	stigma	0	0	0
21	26	M	0	secondary	0	1	0	alcohol	0	none	14	12	monthly	0	28	severe	0	1	1	1	0	0	0	0	0	1	0	0	none	0	cost	0	0	0
22	36	F	0	secondary	1	0	1	opioids	0	none	19	17	daily	1	0	severe	1	0	0	0	0	0	1	0	0	0	0	0	none	0	no_services	0	0	0
23	39	M	0	secondary	0	1	0	alcohol	1	cannabis	12	27	weekly	0	19	moderate	0	0	0	1	0	0	0	1	0	0	0	0	none	0	no_services	0	0	0
24	23	M	0	secondary	1	0	0	cannabis	0	none	23	0	weekly	0	0	severe	0	0	0	0	0	0	0	0	0	0	0	0	none	0	stigma	0	0	0
25	34	F	0	none	1	1	0	alcohol	0	none	14	20	monthly	0	8	moderate	0	0	0	0	1	0	0	0	0	0	0	0	none	0	denial	0	0	0
26	13	M	1	secondary	1	1	0	alcohol	1	khat	13	0	occasional	0	12	severe	0	0	0	1	0	0	0	0	1	0	0	0	none	0	stigma	0	0	0
27	18	F	1	none	1	1	0	cannabis	0	none	12	6	daily	0	0	severe	0	0	0	0	0	1	0	0	0	0	0	0	none	0	no_services	0	0	0
28	30	F	0	secondary	0	1	0	alcohol	0	none	13	17	daily	0	19	severe	0	0	0	0	1	0	1	0	0	0	0	0	none	0	stigma	0	0	0
29	30	M	0	secondary	0	0	0	tobacco	0	none	10	20	occasional	0	0	severe	0	0	0	1	0	0	0	0	0	0	0	0	none	0	fear_legal	0	0	0
30	30	F	0	secondary	1	1	1	tobacco	0	none	19	11	weekly	0	0	severe	0	0	0	0	1	0	0	0	0	0	0	0	none	0	stigma	0	0	0
31	13	M	1	none	0	0	0	opioids	0	none	13	0	daily	1	0	severe	0	1	1	0	1	0	0	0	0	0	0	0	none	0	cost	0	0	0
32	53	M	0	secondary	0	1	0	alcohol	1	opioids	10	43	monthly	0	36	moderate	0	0	0	1	0	0	0	0	0	0	0	0	none	0	stigma	0	0	0
33	44	M	0	primary	1	1	0	alcohol	0	none	10	34	monthly	0	12	moderate	0	0	0	1	0	0	0	0	0	0	0	0	none	0	stigma	0	0	0
34	36	M	0	tertiary	1	1	0	tobacco	0	none	18	18	occasional	0	0	severe	0	0	0	0	0	0	0	0	0	0	1	0	none	0	fear_legal	0	0	0
35	31	M	0	none	0	1	1	alcohol	1	khat	12	19	weekly	0	28	mild	0	1	1	1	0	0	0	0	0	0	1	0	none	0	no_awareness	0	0	0
36	27	M	0	secondary	1	1	0	opioids	1	cannabis	10	17	weekly	0	0	mild	0	0	0	0	1	0	0	0	0	0	0	1	outpatient	0	none	0	1	1
37	36	M	0	secondary	1	1	0	opioids	1	cannabis	19	17	weekly	1	0	severe	0	0	0	1	0	0	0	0	0	0	0	0	none	0	cost	0	0	0
38	34	M	0	primary	0	1	1	alcohol	1	khat	13	21	monthly	0	33	severe	0	0	0	0	0	0	0	1	0	1	0	0	none	0	stigma	0	0	0
39	27	F	0	secondary	1	0	0	cannabis	0	none	15	12	daily	0	0	moderate	1	0	0	0	1	0	0	0	0	0	0	0	none	0	no_services	0	0	0
40	31	M	0	secondary	0	0	0	cannabis	0	none	15	16	monthly	0	0	moderate	0	0	0	1	0	0	0	0	1	0	0	0	none	0	stigma	0	0	0
41	16	M	1	secondary	0	1	0	tobacco	0	none	16	0	weekly	0	0	mild	0	0	0	0	0	0	0	0	0	0	0	1	traditional_healer	0	none	0	0	0
42	27	M	0	primary	0	1	0	cannabis	0	none	14	13	daily	0	0	moderate	1	1	1	0	0	0	0	0	1	0	0	0	none	0	cost	0	0	0
43	36	M	0	secondary	0	1	1	cannabis	0	none	16	20	weekly	0	0	mild	0	0	0	1	0	0	0	0	0	0	0	0	none	0	stigma	0	0	0
44	30	M	0	secondary	1	0	0	cannabis	1	alcohol	16	14	daily	0	0	severe	1	0	0	1	0	0	0	0	0	0	0	0	none	0	stigma	0	0	0
45	25	M	0	primary	0	1	0	cannabis	1	inhalants	20	5	occasional	0	0	moderate	0	0	0	1	0	0	0	0	0	0	0	0	none	0	no_services	0	0	0
46	26	M	0	primary	1	1	0	cannabis	0	none	17	9	weekly	0	0	mild	0	0	0	1	1	0	0	0	0	0	0	0	none	0	no_services	0	0	0
47	31	F	0	secondary	0	1	0	inhalants	1	tobacco	13	18	daily	0	0	severe	0	0	0	0	0	0	0	0	0	0	1	0	none	0	cost	0	0	0
48	20	M	0	none	1	0	0	inhalants	1	khat	20	0	weekly	0	0	moderate	0	0	0	0	0	0	0	0	0	0	1	0	none	0	no_awareness	0	0	0
49	24	M	0	primary	0	1	0	cannabis	0	none	19	5	weekly	0	0	severe	0	0	0	0	0	0	0	0	1	0	1	0	none	0	denial	0	0	0
50	35	M	0	primary	1	0	0	alcohol	0	none	16	19	daily	0	17	moderate	0	0	0	1	0	0	0	0	0	0	0	0	none	0	fear_legal	0	0	0
51	30	M	0	none	0	0	0	cannabis	0	none	18	12	daily	0	0	moderate	1	0	0	0	0	0	0	0	0	0	0	0	none	0	denial	0	0	0
52	29	M	0	secondary	1	0	0	alcohol	0	none	15	14	daily	0	16	severe	1	1	1	0	0	0	0	0	1	0	0	0	none	0	stigma	0	0	0
53	41	M	0	tertiary	0	1	0	tobacco	1	opioids	16	25	weekly	0	0	mild	0	0	0	1	0	0	0	0	0	0	0	0	none	0	fear_legal	0	0	0
54	40	M	0	secondary	0	1	0	cannabis	1	khat	11	29	monthly	0	0	severe	0	0	0	0	0	0	0	0	0	0	0	1	traditional_healer	1	none	1	0	1
55	18	M	1	none	0	0	1	khat	0	none	15	3	daily	0	0	severe	0	0	0	0	1	0	0	0	0	0	0	0	none	0	no_services	0	0	0
56	28	M	0	primary	1	1	0	alcohol	1	opioids	14	14	daily	0	28	moderate	0	1	1	0	0	0	0	0	0	1	0	0	none	0	cost	0	0	0
57	13	M	1	secondary	0	0	1	alcohol	0	none	10	3	daily	0	12	severe	0	0	0	0	0	0	0	0	0	0	0	1	outpatient	1	none	0	0	0
58	34	F	0	secondary	0	0	1	alcohol	0	none	11	23	weekly	0	31	mild	0	0	0	0	1	0	0	0	0	0	0	1	brief_intervention	0	none	0	0	0
59	23	F	0	tertiary	1	1	0	cannabis	1	alcohol	15	8	monthly	0	0	moderate	0	0	0	1	0	0	0	0	0	0	0	0	none	0	fear_legal	0	0	0
60	16	M	1	tertiary	0	1	0	alcohol	1	inhalants	16	0	daily	0	30	moderate	1	0	0	0	0	0	0	0	0	0	0	0	none	0	no_services	0	0	0
61	20	M	0	secondary	1	1	0	alcohol	1	tobacco	16	4	daily	0	16	severe	1	0	0	0	0	0	0	0	1	0	0	0	none	0	no_services	0	0	0
62	28	M	0	secondary	0	1	0	opioids	0	none	19	9	daily	0	0	moderate	0	0	0	0	0	0	0	0	0	0	0	0	none	0	fear_legal	0	0	0
63	13	F	1	primary	0	0	0	alcohol	0	none	13	0	weekly	0	0	severe	0	0	0	0	0	0	0	0	0	0	0	0	none	0	cost	0	0	0
64	46	M	0	secondary	0	0	0	khat	0	none	10	36	daily	0	0	moderate	1	0	0	1	1	0	0	0	1	0	0	0	none	0	no_awareness	0	0	0
65	46	M	0	secondary	0	0	0	cannabis	1	opioids	13	33	occasional	0	0	severe	0	1	0	0	0	1	0	0	0	0	1	1	traditional_healer	1	none	0	0	0
66	23	M	0	primary	1	0	0	alcohol	1	cannabis	21	2	occasional	0	27	severe	0	0	0	0	0	0	0	0	0	0	0	0	none	0	fear_legal	0	0	0
67	40	M	0	secondary	0	1	0	alcohol	1	inhalants	17	23	weekly	0	14	severe	0	1	1	1	0	0	0	0	0	0	0	1	outpatient	1	none	1	0	1
68	30	M	0	secondary	1	0	0	opioids	0	none	21	9	daily	1	0	moderate	0	0	0	0	0	0	1	0	0	0	0	0	none	0	stigma	0	0	0
69	34	M	0	tertiary	1	1	0	cannabis	0	none	14	20	occasional	0	0	moderate	0	0	0	0	1	0	0	0	0	0	1	0	none	0	no_services	0	0	0
70	24	M	0	none	0	0	0	cannabis	0	none	24	0	weekly	0	0	moderate	0	0	0	0	0	0	0	0	0	0	0	0	none	0	no_services	0	0	0
71	13	F	1	none	1	0	0	inhalants	1	khat	10	3	daily	0	0	mild	0	0	0	0	0	0	0	0	0	0	0	0	none	0	stigma	0	0	0
72	29	M	0	none	0	0	1	cannabis	0	none	11	18	monthly	0	0	moderate	0	0	0	1	0	0	0	0	0	0	0	0	none	0	cost	0	0	0
73	29	M	0	primary	1	1	0	tobacco	0	none	21	8	weekly	0	0	severe	0	0	0	0	0	0	0	0	0	0	0	1	outpatient	0	none	0	0	0
74	33	M	0	secondary	0	1	0	tobacco	0	none	12	21	occasional	0	0	severe	0	0	0	0	0	0	0	0	0	0	0	0	none	0	cost	0	0	0
75	31	M	0	none	0	1	0	khat	1	alcohol	19	12	monthly	0	0	moderate	0	0	0	1	0	0	0	0	0	0	0	0	none	0	cost	0	0	0
76	35	M	0	primary	0	0	0	tobacco	1	opioids	20	15	occasional	0	0	mild	0	0	0	0	0	0	0	0	0	0	0	0	none	0	stigma	0	0	0
77	18	M	1	secondary	0	0	0	cocaine	0	none	17	1	occasional	0	0	mild	0	0	0	0	1	0	0	0	0	0	0	0	none	0	cost	0	0	0
78	29	F	0	secondary	1	1	0	alcohol	0	none	18	11	daily	0	5	moderate	1	0	0	0	0	0	0	0	0	0	0	0	none	0	stigma	0	0	0
79	38	M	0	secondary	0	1	0	inhalants	0	none	19	19	occasional	0	0	moderate	0	0	0	0	0	0	0	0	0	0	0	0	none	0	no_services	0	0	0
80	26	F	0	tertiary	1	0	0	cannabis	1	alcohol	17	9	occasional	0	0	severe	0	0	0	0	0	0	0	0	0	0	1	0	none	0	no_awareness	0	0	0
81	30	F	0	primary	0	0	0	tobacco	1	cannabis	17	13	monthly	0	0	mild	0	0	0	0	0	0	0	0	1	0	0	0	none	0	stigma	0	0	0
82	26	F	0	none	0	1	0	tobacco	0	none	11	15	weekly	0	0	severe	0	0	0	1	1	0	0	0	0	0	0	0	none	0	no_services	0	0	0
83	47	M	0	secondary	1	0	0	alcohol	0	none	15	32	occasional	0	21	severe	0	0	0	1	0	0	0	1	1	0	1	1	traditional_healer	0	none	0	0	0
84	28	F	0	secondary	0	0	0	alcohol	0	none	15	13	monthly	0	20	mild	0	0	0	0	0	0	0	0	1	0	0	0	none	0	stigma	0	0	0
85	20	F	0	primary	0	1	0	khat	0	none	11	9	daily	0	0	severe	0	0	0	1	0	0	0	0	1	0	0	0	none	0	denial	0	0	0
86	23	F	0	secondary	0	0	0	cannabis	0	none	11	12	monthly	0	0	mild	0	0	0	0	0	0	0	0	0	0	0	0	none	0	stigma	0	0	0
87	13	M	1	primary	0	0	1	cannabis	1	opioids	13	0	daily	0	0	severe	1	0	0	0	0	0	0	0	0	0	0	0	none	0	fear_legal	0	0	0
88	13	M	1	primary	1	1	0	cocaine	0	none	13	0	occasional	0	0	severe	0	0	0	0	0	0	0	0	0	0	0	0	none	0	fear_legal	0	0	0
89	35	M	0	primary	0	1	0	khat	0	none	21	14	daily	0	0	moderate	1	0	0	0	0	0	0	0	0	0	0	1	brief_intervention	1	none	0	0	0
90	34	M	0	secondary	1	0	0	cannabis	0	none	11	23	daily	0	0	severe	0	1	1	0	0	0	0	0	0	0	0	0	none	0	fear_legal	0	0	0
91	13	M	1	secondary	0	1	1	alcohol	0	none	13	0	weekly	0	22	severe	0	0	0	0	0	0	0	0	0	0	0	1	outpatient	0	none	0	0	0
92	23	F	0	tertiary	1	0	1	inhalants	0	none	16	7	monthly	0	0	severe	0	0	0	0	0	1	0	0	0	0	0	0	none	0	no_services	0	0	0
93	24	F	0	none	0	0	0	cannabis	1	inhalants	11	13	daily	0	0	mild	0	0	0	0	0	0	0	0	0	0	0	0	none	0	stigma	0	0	0
94	19	F	1	primary	0	0	0	alcohol	0	none	12	7	daily	0	36	severe	1	0	0	0	0	0	0	0	0	0	0	0	none	0	stigma	0	0	0
95	29	M	0	none	1	0	1	alcohol	1	inhalants	14	15	weekly	0	18	moderate	0	1	1	0	0	0	0	1	0	0	0	0	none	0	cost	0	0	0
96	25	M	0	none	0	1	0	alcohol	0	none	18	7	daily	0	27	severe	1	0	0	0	0	0	0	0	1	0	0	1	brief_intervention	0	none	0	1	1
97	39	M	0	secondary	0	1	0	alcohol	0	none	16	23	weekly	0	14	moderate	0	0	0	0	0	0	0	0	0	0	0	0	none	0	cost	0	0	0
98	23	F	0	primary	1	1	0	alcohol	0	none	19	4	weekly	0	22	moderate	0	0	0	0	0	0	0	0	0	0	0	0	none	0	fear_legal	0	0	0
99	16	M	1	secondary	1	1	0	alcohol	0	none	14	2	weekly	0	15	severe	0	0	0	0	1	0	0	0	0	1	0	1	traditional_healer	0	none	0	1	1
100	13	M	1	none	1	1	0	alcohol	1	khat	13	0	daily	0	10	severe	0	0	0	0	0	0	0	0	0	0	0	0	none	0	cost	0	0	0

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Substance Use Disorders Dataset

Abstract

This dataset provides 30,000 simulated SUD records (10,000 per scenario) from sub-Saharan Africa. Each record contains 40+ variables including substance type, severity, comorbidities (depression, HIV, liver disease), treatment access, barriers, and outcomes. Three settings: specialised centre (5% treatment completion), district mental health (3%), and community level (1%).

1. Introduction

Substance use disorders are an increasing public health concern in SSA. Alcohol is the #1 substance, followed by cannabis and khat. The treatment gap exceeds 90%. AUD prevalence is common among adolescents, with young men most affected. Harmful alcohol use is the #1 risk factor for disability in young men in SSA, associated with trauma, HIV, and GBV. Limited facilities, high relapse rates, and stigma characterise the treatment landscape.

This dataset is entirely simulated. It must not be used for clinical decision-making.

2. Methodology

2.1 Parameterization

Parameter	Value	Source
Treatment gap	>90%	PubMed 2019
Alcohol as primary substance	~40%	PLOS 2024
Cannabis	~22%	Frontiers 2024
Khat (East Africa)	~12%	Frontiers 2024
Depression comorbidity	~30%	PMC 2014
IDU HIV prevalence	~20%	WHO 2024
Male predominance	~72%	Frontiers 2024

2.2 Scenario Design

Scenario	Detox	MAT	Rehab	Treatment Completion
Specialised centre	Yes	Yes	Yes	5%
District mental health	Yes	No	No	3%
Community level	No	No	No	1%

3. Schema

Column	Type	Description
id	int	Unique identifier
age_years	int	Age
sex	categorical	M / F
primary_substance	categorical	alcohol / cannabis / khat / tobacco / opioids / inhalants / benzodiazepines / cocaine
polysubstance	binary	Polysubstance use
age_first_use	int	Age at first use
frequency	categorical	daily / weekly / monthly / occasional
injection_drug_use	binary	IDU
severity	categorical	mild / moderate / severe
withdrawal_symptoms	binary	Withdrawal
depression	binary	Depression
anxiety	binary	Anxiety
psychosis	binary	Psychosis
hiv_positive	binary	HIV+
liver_disease	binary	Liver disease
suicidal_ideation	binary	Suicidal ideation
sought_treatment	binary	Sought treatment
treatment_type	categorical	inpatient / outpatient / brief / traditional / religious / peer
treatment_completed	binary	Completed treatment
barrier_to_treatment	categorical	stigma / cost / no_services / denial / no_awareness / fear_legal
abstinent_6_months	binary	6-month abstinence
functional_improvement	binary	Functional improvement

4. Validation

Validation Report

Key validation checks:

Alcohol #1: 40% of primary substance ✓
Treatment gap: >89% never seek treatment ✓
Completion cascade drops: 11% → 5% → 1% ✓
Male predominance: 72% ✓
Depression comorbidity: ~30% ✓
Barriers: Stigma and cost dominant ✓

5. Usage

from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/substance-use-disorders", "district_mental_health")
df = dataset["train"].to_pandas()

6. Limitations

Simulated: Not from real addiction registries.
No biomarkers: No blood alcohol, urine drug screens.
No longitudinal: Snapshot, no recovery trajectory.
Simplified: No detailed pharmacological treatment data.
Sensitive: Must be used with ethical consideration.

7. References

Frontiers Psychiatry (2024). Substance use among young people SSA.
PubMed (2024). AUD systematic review SSA.
PMC (2014). Mental and substance use disorders SSA.
PubMed (2019). Treatment gap for AUD Ethiopia.
PLOS Global PH (2024). Substance use patterns West Africa.
PMC (2024). Residential treatment outcomes Africa.
PubMed (2017). Harmful alcohol use in SSA.

Citation

@dataset{esa_sud_2025,
  title={Substance Use Disorders Dataset},
  author={Electric Sheep Africa},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/electricsheepafrica/substance-use-disorders}
}

License

CC-BY-4.0

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