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. Author manuscript; available in PMC: 2018 Jul 6.
Published in final edited form as: Am J Addict. 2018 Feb 19;27(2):71–91. doi: 10.1111/ajad.12674

A Review of Brain Stimulation Methods to Treat Substance Use Disorders

Alexandria S Coles 1, Karolina Kozak 1,2, Tony P George 1,2,3
PMCID: PMC6034717  NIHMSID: NIHMS973619  PMID: 29457674

Abstract

Background

Substance use disorders (SUDs) are a leading cause of disability worldwide. While several pharmacological and behavioral treatments for SUDs are available, these may not be effective for all patients. Recent studies using non-invasive neuromodulation techniques including Repetitive Transcranial Magnetic Stimulation (rTMS), Transcranial Direct Current Stimulation (tDCS), and Deep Brain Stimulation (DBS) have shown promise for SUD treatment.

Objective

Multiple studies were evaluated investigating the therapeutic potential of non-invasive brain stimulation techniques in treatment of SUDs.

Method

Through literature searches (eg, PubMed, Google Scholar), 60 studies (2000–2017) were identified examining the effect of rTMS, tDCS, or DBS on cravings and consumption of SUDs, including tobacco, alcohol, cannabis, opioids, and stimulants.

Results

rTMS and tDCS demonstrated decreases in drug craving and consumption, while early studies with DBS suggest similar results. Results are most encouraging when stimulation is targeted to the Dorsolateral Prefrontal Cortex (DLPFC).

Conclusions

Short-term treatment with rTMS and tDCS may have beneficial effects on drug craving and consumption. Future studies should focus on extending therapeutic benefits by increasing stimulation frequency and duration of treatment.

Scientific Significance

The utility of these methods in SUD treatment and prevention are unclear, and warrants further study using randomized, controlled designs.

INTRODUCTION

Substance use disorders (SUDs) are a major contributor to morbidity and mortality worldwide.1 According to the United Nations, more than 200,000 deaths were attributable to SUDs in 2014.2 Moreover, in 2015 over 20 million people in the U.S. had an SUD, with <20% seeking treatment.2 While several treatments are available (eg, behavioral and pharmacological therapies), relapse rates continue to be as high as 60%.1 This suggests a need for further research to develop novel and more effective treatments. Neuromodulation techniques such as repetitive transcranial magnetic stimulation (rTMS), trans-cranial direct current stimulation (tDCS), and deep brain stimulation (DBS) have been investigated as possible treatments for SUDs and may have promise in comparison to conventional pharmacotherapy and behavioral intervention strategies, and there have been several more selective reviews on this topic.35 The purpose of this article is to provide a broad and critical review of currently available brain stimulation techniques (rTMS, tDCS, DBS) as treatment for SUDs, including a comparison of effect sizes for the various brain stimulation methods across SUD diagnoses.

Description of Contemporary Brain Stimulation Methods

Repetitive Transcranial Magnetic Stimulation (rTMS)

rTMS is a non-invasive brain stimulation method used to treat various neurological and psychiatric disorders, including Parkinson’s disease, schizophrenia, obsessive compulsive disorder, and chronic pain.6 In 2008, rTMS was Food and Drug Administration (FDA) approved for the treatment of major depression in human subjects, offering a potential alternative to traditional pharmacotherapies, which may not be effective or well-tolerated.6 rTMS involves the use of an electromagnetic coil held against the scalp, producing repetitive trains of magnetic pulses, resulting in a temporary magnetic field pulse in the coil that can be targeted to specific brain regions.7,8 This process has been shown to induce temporary electrical currents in localized cortical tissue, which can modulate cortical excitability. Studies have also demonstrated its ability to produce clinically significant and lasting neuroplasticity changes in targeted brain regions.7,8 rTMS stimulation parameters can vary significantly with respect to stimulus intensity, total number of pulses, and pulse frequencies.9 However, ultimately these variations aim to personalize rTMS parameters and may improve inhibitory processes, which may be abnormal in SUDs (ie, impulsivity). As such, many investigators have used cortical inhibition paradigms with single or paired pulse TMS to index cortical inhibition and excitability effects.10,11 This review will focus on low frequency (LF) and high frequency (HF) rTMS, both of which provide therapeutic applications. LF rTMS (<1 Hz) has been shown to reduce neuronal firing rates and cortical excitability, whereas HF rTMS (10–20 Hz) has demonstrated opposing effects.7,8 Furthermore, two robust rTMS adaptations compared to the conventional protocols have been emerging which use a theta burst stimulation (TBS) pattern.12 This involves bursts of three pulses of stimulation at 50 Hz frequencies repeated every 200 ms. The first method is intermittent bursting frequency, also known as intermittent that burst stimulation (iTBS), which is applied to the cortex resulting in facilitating effects. The parameters involve a 2 second train of TBS repeated every 10 seconds for a total of 190 seconds (600 pulses).12,13 The other technique using continuous bursting frequency, also known as continuous theta burst stimulation (cTBS), induces transient long-term depression of behavior and inhibitory effects. This technique involves a 40 second train of uninterrupted TBS (600 pulses).12,14

rTMS is a promising treatment for neurological and psychiatric disorders, as this treatment method has minor side effects (ie, headache, dizziness) and is pain free, making it well-tolerated by most patients.6 Additionally, rTMS is a cost-effective alternative to other more expensive treatment methods (ie, electroconvulsive therapy). rTMS is a promising potential treatment for SUDs that is currently being investigated, although available research is preliminary. Twenty-eight studies were identified for this review, using rTMS as a potential treatment for SUDs, with a total of 788 participants receiving active or sham rTMS stimulation treatment. See Table 1 and Figure 1A.

TABLE 1.

Repetitive transcranial magnetic stimulation (rTMS) (total N = 788; total stuclies = 28)

Author Sample Study design # of sessions and targeted brain region Stimulation intensity Stimulation frequency Coil type Primary outcomes and effect size (Cohen’s d) Secondary outcomes and effect size (Cohen’s d) Results
Alcohol: single active stimulation sessions (total N = 95; four studies)

Addolorato et al.28 N = 11 A randomized, between subjects, sham-controlled study with alcohol-dependent participants 1 active
or
1 sham session of dTMS
Left and right DLPFC
100% 10 Hz H-coil Consumption
Sham: −0.60
Active: 1.33
Craving
Sham: −0.72
Active: −0.70
A significant ↓ in alcohol consumption was observed in the active group compared to sham
No significant differences in craving scores between groups
Herremans et al.29 N = 29 A sham controlled, crossover study with recently detoxified, alcohol-dependent participants 1 active
or
1 sham session
Right DLPFC
110% 20 Hz Figure 8 coil Executive functioning
NA
Craving
Sham: 0.13
Active: 0.11
No significant effect on alcohol craving was found post-treatment in either sham or active groups
Herremans et al.30 N = 36 A prospective, sham controlled study with recently detoxified alcohol-dependent inpatients 1 active
or
1 sham session
Right DLPFC
110% 20 Hz Figure 8 coil Craving
ES: −0.14
None No significant effect on alcohol craving were observed post- treatment compared to sham
Hoppner et al.31 N = 19 A sham controlled study with alcohol-dependent patients 1 active
or
1 sham session
Left DLPFC
90% 20 Hz Figure 8 coil Craving
Active vs. sham: 0.05
Depressive symptoms
Active vs. sham: 0.13
No significant effects on alcohol craving or mood were observed post-treatment

Alcohol: multiple active stimulation sessions (total N = 133; five studies)

Ceccanti et al.32 N = 18 A placebo controlled pilot study with alcohol-dependent participants with concurrent dysthymic disorder 10 active
or
10 sham sessions of dTMS
MPFC
120% 20 Hz H-coil Cortisol blood levels
Active vs. sham: 2.08
Consumption
Active pre vs. post: 1.90
Craving
Active pre vs. post: 0.46
Significant ↓ in cortisol blood levels, alcohol craving, and consumption were observed in the active group compared to control
Girardi et al.33 N = 24 A double-blind study with alcohol-dependent participants with MDD or bipolar disorder 10 active dTMS sessions with SDT
or
SDT alone
MPFC
120% 18 Hz H-coil Craving
Active vs. sham: 1.94
Depressive symptoms
Active vs. sham: 1.98
Deep TMS combined with pharmacotherapy treatment produced significant ↓ in alcohol cravings across participants
Herremans et al.34 N = 26 An open label, accelerated design with alcohol-dependent participants 15 active sessions
R DLPFC
110% 20 Hz Figure 8 coil Craving (after 1 session)
Active vs. sham: 0.00
Craving (after 15 sessions)
Active vs. sham: 0.54
A significant ↓ in general alcohol cravings post 15 sessions of rTMS
No difference between sham and active groups after 1 session of treatment
Mishra et al.35 N = 20 A prospective, parallel group study with alcohol-dependent participants 10 active sessions
Left or right DLPFC
110% 10 Hz Figure 8 coil Craving
Left: 3.93 Right: 4.31
Left vs. right: 0.05
None A significant ↓ in alcohol-related cravings in both left and right DLPFC stimulation groups with no significant difference between stimulation sites
Mishra et al.36 N = 45 A sham controlled, prospective study with alcohol-dependent patients 10 active
or
10 sham sessions
Right DLPFC
110% 10 Hz Figure 8 coil Craving
Active vs. sham: 2.99
None Active rTMS significantly ↓ alcohol cravings, compared to sham

Tobacco: single active stimulation sessions (total N = 54; four studies)

Li et al.37 N = 10 A sham-controlled, counterbalanced, crossover study design with nicotine-dependent participants 1 active
and
1 sham session
Left DLPFC
100% 10 Hz Figure 8 coil fFLAFF
Right insula Active vs. sham: 4.00
Right thalamus Active vs. sham: 2.97
Craving
Active vs. sham: −0.47
Active rTMS significantly ↓ activity in the Insula and thalamus regions in fFLAFF
No differences in craving scores were observed in active compared to sham
Pripfl et al.38 N = 14 A within subjects, sham controlled study with nicotine-dependent participants 1 active
and
1 sham session
Left DLPFC
90% 10 Hz Figure 8 coil EEG Delta Power
Active vs. sham: 0.69
Craving
Active vs. sham: −0.26
A significant reduction in EEG delta power was observed after active treatment compared to sham
Nicotine craving significantly ↓ after rTMS treatment compared to sham
Li et al.39 N = 16 A sham-controlled cross over study with treatment seeking nicotine-dependent participants 1 active
and
1 sham session
Left DLPFC
100% 10 Hz Figure 8 coil Cue-induced craving
Active pre vs. post: 0.77
Active vs. sham: 0.45
None Active rTMS significantly ↓ cravings of tobacco compared to sham and baseline scores
Eichammer et al.40 N = 14 A sham controlled, crossover study with treatment seeking, nicotine-dependent participants 1 active
and
1 sham session
Left DLPFC
90% 20 Hz Figure 8 coil Consumption
Active vs. sham: 0.27
Craving
NA
Significant ↓ in cigarette consumption was observed in the active group compared to sham
No differences in post-stimulation craving scores were observed between groups

Tobacco: multiple active stimulation studies (total N = 339; seven studies)

Trojak et al.41 N = 37 A prospective, clinical trial with nicotine-dependent participants 10 active
or
10 sham sessions
Right DLPFC
120% 1 Hz Figure 8 coil Abstinence
Active vs. sham: 4.42
Craving
Active vs. sham: 0.12
Combination treatment of NRT and active rTMS produced significantly ↑ abstinent participants (n=16) but results not maintained at follow up (12 weeks)
No lasting effects on craving were observed
Dieler et al.42 N = 74 A between groups, sham controlled study with nicotine-dependent participants 4 active
or
4 sham sessions of iTBS with CBT
Right DLPFC
80% 50 Hz Figure 8 coil Craving
Active vs. sham: −0.33
Abstinence
NA
iTBS with adjunct CBT produced ↑ abstinence rates at 3 months compared to sham
Craving was not significantly affected
Prikryl et al.43 N = 35 A prospective, sham controlled, study with male patients with SCZ and concurrent nicotine dependence 21 active
or
21 sham sessions
Left DLPFC
110% 10 Hz Figure 8 coil Consumption
Active vs. sham: 0.41
None Active rTMS significantly ↓ cigarette consumption in patients with SCZ
Dinur-Klein et al.44 N = 115 A prospective, placebo controlled, clinical trial with nicotine-dependent participants (>20 CPD) 13 active
or
13 sham sessions of dTMS
Lateral PFC and insula
120% LF: 1 Hz
HF: 10 Hz
H-coil Consumption
Sham: 0.64 1 Hz: 1.41
a10 Hz: 3.17
Abstinence
NA
10 Hz dTMS significantly ↓ cigarette consumption and compared to low frequency and sham conditions
No differences in abstinence rates between groups
Wing et al.45 N = 15 A sham controlled, counterbalanced rTMS study with nicotine-dependent participants with concurrent SCZ 20 active
or
20 sham sessions
Left and right DLPFC
90% 20 Hz Figure 8 coil Craving
Active vs. sham: 1.28
None Participants who received active rTMS showed a significant ↓ in cravings for tobacco
Rose et al.46 N = 15 A repeated measures, counterbalanced design with nicotine-dependent participants (>15 CPD) 1 active (1 Hz) and 1 active (10 Hz) and 1 sham session
MOC, SFG
90% HF: 10 Hz
LF: 1 Hz
Figure 8 coil Cue-induced craving
Sham vs. 1 Hz: −0.38
Sham vs. 10 Hz: −0.29
Craving
Sham vs. 10 Hz: 0.96
1 Hz vs. 10 Hz: 1.02
SFG specific rTMS significantly ↓ cigarette cravings after neutral cue presentations
Conversely, 10 Hz stimulation with smoking cues caused a significant ↑ in craving
Amiaz et al.47 N = 48 An experimental, counterbalanced design with nicotine-dependent participants 10 active +3 maintenance sessions
or
10 sham sessions
Left DLPFC
100% 10 Hz Figure 8 coil Consumption
Active pre/post smoking cues: 1.53
Dependence
Active pre vs. post: 5.63
Significant ↓ in cigarette consumption and nicotine dependence following the active rTMS (not maintained until the 6-month follow-up)

Cocaine: single active stimulation studies (total N = 6; one study)

Camprodon et al.51 N = 6 A counterbalanced, crossover design with cocaine dependent, rTMS naïve participants 1 active right
or
1 active left session
Left or right DLPFC
90% 10 Hz Figure 8 coil Craving
Right: 2.19
Left: −0.22
None Right, but not left DLPFC stimulation significantly ↓ cocaine cravings temporarily (<4 hours)

Cocaine: multiple active stimulation sessions (total N = 49; three studies)

Bolloni et al.48 N = 10 A double blind, experimental design with cocaine-dependent participants 12 active
or
12 sham sessions
Left and right DLPFC
100% 10 Hz Figure 8 coil Consumption
Active pre/post: −1.82
Active post vs. follow-up: 0.93
None No significant change in cocaine consumption were observed post-treatment
However, a long-term ↓ in amount of cocaine consumed was demonstrated when considering time as a factor in the active group
Rapinesi et al.49 N = 7 A within subjects, double-blind study in cocaine-dependent male participants 12 active sessions
Left DLPFC
100% 20 Hz H-coil Craving
Active pre vs. post: 3.58
None A significant ↓ in craving scores were observed after dTMS to the DLPFC, although maintenance sessions were needed to extend results
Terraneo et al.50 N = 32 A between-subject open-label, clinical trial with cocaine-dependent participants 8 active sessions or SDT only
Left DLPFC
110% 15 Hz Figure 8 coil Consumption
Active vs. sham: 1.78
None Active rTMS treatment produced significantly ↑ clean urine screens and a ↓ in cravings for cocaine for active stimulation group

Methamphetamine: single active stimulation sessions (total N = 18; one studies)

Li et al.,53 N = 18 A sham-controlled crossover study with MA dependent participants and matched controls 1 active
and
1 sham session
Left DLPFC
100% 1 Hz Figure 8 coil Craving
Active vs. sham in MA group: −1.99
None Active rTMS ↑ self-reported craving in MA users compared to sham stimulation
This effect was not observed in healthy controls

Methamphetamine: Multiple active stimulation sessions (total N = 80; two studies)

Su et al.52 N = 30 A sham-controlled clinical trial with male MA-dependent participants 5 active
or
5 sham sessions
Left DLPFC
80% 10 Hz Figure 8 coil Cue-induced craving
Active vs. sham: 2.24
Cognitive function
Active pre/post: 0.24
Active rTMS significantly ↓ cravings for MA compared to sham
Liu et al.54 N = 50 A sham-controlled study in MA-dependent males 5 active sessions of left DLPFC (1 Hz)
or
left DLPFC (10 Hz)
or
right DLPFC (1 Hz)
or
right DLPFC (10 Hz)
or
5 sham sessions
100% 1 Hz or 10 Hz Round coil Cue-induced craving
R
10 Hz pre/post:2.78
L10 Hz
pre/post:1.73 R 1 Hz
pre/post:2.11 L 1 Hz
pre/post:1.47
None All active stimulation conditions significantly ↓ cue-induced MA craving compared to the sham condition

Cannabis: multiple active stimulation sessions (total N = 14; one study)

Sahlem et al.55 N = 14 A crossover, sham-controlled study in cannabis-dependent participants 1 active
and
1 sham session
Left DLPFC
100% 10 Hz Figure 8 coil Safety
NA
Craving
Active vs. sham: −0.41
rTMS can be safely administered to cannabis-dependent participants
No significant changes in craving were observed compared to sham

rTMS, repetitive transcranial magnetic stimulation; tDCS, transcranial direct current stimulation; DBS, deep brain stimulation; dTMS, deep transcranial magnetic stimulation; iTBS, intermittent theta burst stimulation; cTBS, continuous theta burst stimulation; dTMS, deep transcranial magnetic stimulation; RMT, resting motor threshold; Hz, hertz; Tx, treatment; DLPFC, dorsolateral prefrontal cortex; MOC, motor cortex; IFG, inferior frontal gyrus; SFG, superior frontal gyrus; PFC, prefrontal cortex; MPFC, medial prefrontal cortex; FTP, fronto-temporal parietal area; SOA, supra-orbital area; CSOA, contralateral supraorbital area; ACC, anterior cingulate cortex; NAc, nucleus accumbens; An+, anodal; Ca, cathodal; MDD, Major Depressive Disorder; SCZ, schizophrenia; OCD, obsessive compulsive disorder; mA, milliamp; CPD, cigarettes per day; NRT, nicotine replacement therapy; SDT, standard treatment; ↑, increase; ↓, decrease; NA, not assessed/not available.

FIGURE 1.

FIGURE 1

Diagrams to illustrate the three brain stimulation techniques: (a) rTMS, (b) tDCS, and (c) DBS.

Transcranial Direct Current Stimulation (tDCS)

tDCS is another non-invasive brain stimulation method involving two or more electrodes (ie, anodal, cathodal) placed on the scalp.15 These electrodes facilitate delivery of a low intensity direct current at a constant rate to a targeted area of the brain.16 tDCS protocols vary with respect to the current size and strength, electrode size and number, amount of contact medium used, and stimulation durations.17 Similarly, as with the differing rTMS parameters, these factors alter the distribution of current crossing the scalp eventually to the brain.

tDCS stimulation produces a low intensity current (between 0.5 and 2.0 milliamps [mA]) that allows for the modulation of resting membrane potential and cortical excitability in targeted brain regions through mechanisms of depolarization or hyperpolarization, depending on stimulation parameters.18 The anodal electrode has been shown to increase cortical excitability, whereas the cathodal electrode has opposing effects. tDCS is a low cost, easily accessible, pain free stimulation method with minor side effects such as scalp irritation and itchiness and no recovery time requirement, thus making it well-tolerated treatment across patients.15

Similar to rTMS, tDCS has been used to treat various neurological and psychiatric conditions such as Parkinson’s disease, chronic pain, and major depression.15 Although its mechanisms of action are not fully understood, tDCS may induce neurochemical changes in the targeted brain tissue, which extend beyond active stimulation periods.18 tDCS is also currently being investigated as a potential treatment for SUD’s in human participants. Twenty-three studies have been identified in which tDCS has been explored as a viable treatment option, with 677 participants having been exposed to active or sham stimulation. See Table 2 and Figure 1B.

TABLE 2.

transcranial direct current stimulation (tDCS) (total N =677; total studies =23)

Author Sample Study design # of sessions and targeted brain region Active stimulation intensity and duration Primary outcome and effect size (Cohen’s d) Secondary outcome and effect size (Cohen’s d) Results
Alcohol: single active stimulation sessions (total N =120; three studies)

Wietschorke et al.56 N =30 A double-blind, placebo controlled trial with alcohol-dependent outpatients 1 session of An+ right, Ca left DLPFC
or
1 session of sham
1 mA for 20 minutes Alcohol cue reactivity
Active vs. sham: 0.64
Craving
Active vs. sham: 0.53
A significant ↓ in both alcohol cue reactivity and alcohol cravings were observed in alcohol-dependent participants who received active tDCS stimulation
Den Uyl et al.57 N =41 A sham controlled study with alcohol-dependent participants 1 session of An+ left DLPFC, Ca CSOA
or
l session of An+ IFG (F7 ×Cz), Ca IFG (Fz ×T3)
or
1 session of sham
1 mA for 10 minutes Craving
DLPFC vs. sham: 0.18
DLPFC vs. IFG: 0.12
Response bias
DLPFC pre/post: 0.10
IFG pre/post: −0.09
Active tDCS over the left DLPFC significantly ↓ alcohol cravings, compared to sham and IFG stimulation
No changes were observed in response bias variable
Nakamura-Palacios et al.58 N =49 A sham-controlled, crossover design with alcohol-dependent participants 1 session of An+ left DLPFC, Ca CSOA
or
1 session of sham
1 mA for 10 minutes P3 amplitude
NA
Craving
Active vs. sham: −0.18
Results showed an ↑ in P3 amplitude to alcohol-related sounds in the active tDCS group compared to sham (not seen in neutral sounds)
No significant changes in craving were observed between groups

Alcohol: multiple active stimulation sessions (total N =150; four studies)

Den Uyl et al.59 N =91 A double-blind, parallel design with alcohol-dependent participants 4 sessions An+ left, Ca right DLPFC with concurrent CBM
or
4 sessions of An+ left, Ca right DLPFC before CBM
or
4 sessions of sham
2 mA for 20 minutes Abstinence
Active with CBM vs. sham: 0.27
Active with CBM vs. active without CBM: 0.04
Craving
Active with CBM vs. sham: 1.22
Active with CBM vs. active without CBM: 1.53
No effect on abstinence at 3 or 6 months was observed across groups
Relapse ↓ in active condition, only when compared to sham control
Craving scores in all conditions ↓ overtime
Klauss et al.60 N =33 A prospective, sham controlled study with alcohol-dependent participants 5 sessions An+ right, Ca left DLPFC
or
5 sessions of sham
2 mA for 13 minutes Relapse
Active vs. sham: 2.20
Craving
Active pre/post: 1.24
Active vs. sham: 0.17
tDCS stimulation had no effect on alcohol related cravings, but did ↑ abstinent rates significantly at 6 months follow-up
Da Silva et al.61 N =13 A sham controlled, experimental design with alcohol-dependent male participants 5 sessions of An+ left, Ca right DLPFC
or
5 sessions of sham stimulation
2 mA for 20 minutes Relapse
NA
Craving
Active vs. sham: 2.18
A significant ↑ in relapse rates in active tDCS condition (66.7%) were observed compared to sham (14.3%)
Conversely, a significant ↓ in alcohol-related cravings in the active tDCS group compared to sham
Boggio et al.62 N =13 A sham-controlled, crossover study with alcohol-dependent participants (abstinent for 10 days) 1 session of An+ right, Ca left DLPFC
and
1 session of An+ left, Ca right DLPFC
and
1 session of sham
2 mA for 20 minutes Craving
Left: 4.25
Right: 1.9
None Both active tDCS conditions significantly ↓ alcohol craving compared to sham
Results were maintained with presentation of alcohol cues

Tobacco: single active stimulation sessions (total N =108; four studies)

Falcone et al.70 N =25 A within subjects, counterbalanced study with nicotine-dependent participants 1 session of An+ left DLPFC, Ca SOA
and
1 session of sham
1 mA for 20 minutes Time to first cigarette
Active vs. sham: 0.29
Cigarette consumption
Active vs. sham: 0.20
Active tDCS significantly ↑ time to first cigarette and ↓ total cigarettes smoked compared to sham with the presentation of smoking-related cues
Krozec et al.69 N =29 A sham-controlled study with nicotine-dependent participants 1 session of An+ left DLPFC, Ca OFC
or
1 session of sham
2 mA for 15 minutes Functional cortical connectivity
NA
Craving
Active vs. sham: −0.39
Active tDCS significantly ↑ functional cortical connectivity in the active group compared to sham
No differences in craving scores between groups were observed
Meng et al.68 N =30 A sham-controlled, counterbalanced study with nicotine-dependent participants 1 session of bilateral Ca left, Ca right FTP
or
1 session of Ca right DLPFC, An+ occipital lobe
or
1 session of sham
2 mA for 20 minutes Attention bias
Bilateral pre/post: 0.42
Ca right: −0.33
Consumption
Single vs. bilateral: 1.22
Sham vs. bilateral: 2.16
A significant ↓ in cigarette consumption was observed post-bilateral tDCS condition only, compared to sham and compared to single stimulation Attention bias showed a ↓ trend in bilateral tDCS condition but results were not significant
Xu et al.67 N =24 A counterbalanced, sham controlled study with nicotine-dependent participants (abstinent >10 hours) 1 session of An+ left DLPFC, Ca SOA
and
1 session of sham
2 mA for 20 minutes Affect modulation
Active vs. sham: −0.10
Craving
Active vs. sham: 0.05
Active tDCS stimulation had a significant ↓ in negative affect (positively correlated with dependence level) but no effect on cravings compared to sham post-treatment

Tobacco: multiple active stimulation sessions (total N = 113; four studies)

Smith et al.63 N =37 A sham controlled, parallel group study with nicotine-dependent participants with concurrent SCZ 5 sessions of An+ left DLPFC, Ca CSOA
or
5 sessions of sham
2 mA for 20 minutes Cognitive performance
Active vs. sham: 0.16
Craving
NA
Participants who received active tDCS saw a significant ↑ in cognitive performance, as indexed by the MCCB composite score
There was no significant effect of active tDCS on craving or consumption
Fecteau et al.64 N =12 A crossover, sham controlled design with nicotine-dependent participants 5 sessions of An+ right, Ca left DLPFC
and
5 sessions of sham
2 mA for 30 minutes Consumption
Active vs. sham day 4: 0.35
Risk taking
NA
A significant ↓ in number of cigarettes smoked in participants who received active tDCS compared to sham
No difference in risk taking between sham and active conditions
Boggio et al.65 N =27 A sham controlled, parallel, crossover study with nicotine-dependent participants 5 sessions of An+ right, Ca left DLPFC stimulation
or
5 sessions of sham
2 mA for 20 minutes Craving
Day 4 sham vs. active: 0.27
Day 5 active vs. sham: 0.61
Consumption
NA
Active tDCS significantly ↓ cue-induced nicotine craving compared to sham
A significant ↓ in cigarette consumption was also observed in the active group (30%) compared to sham (10%)
Fregni et al.66 N =24 A sham controlled, crossover design with nicotine-dependent participants 1 session of An+ right, Ca left DLPFC
and
1 session of An+ left, Ca right DLPFC
and
1 session of sham
2 mA for 20 minutes Craving
Left: 2.00
Right: 1.30
None Active tDCS of both the right and left DLPFC significantly ↓ cue-induced cravings compared to sham

Cocaine: single active stimulation session (total N = 13; one study)

Conti and Nakamura- Palacios71 N =13 A between subjects sham-controlled design with 13 crack cocaine-dependent participants 1 session of Ca left, An+ right DLPFC
or
1 session of sham
2 mA for 20 minutes ACC activity During srug cues
Active vs. sham: 2.36
None Active tDCS ↓ activity in the ACC during drug cue exposure, while sham tDCS activity in the same region

Cocaine: multiple active stimulation sessions (total N = 96; four studies)

De Almeida Ramos et al.73 N =11 An open label design with cocaine-dependent participants (abstinent for 3 weeks) 10 sessions of An+ left, Ca right DLPFC stimulation 2 mA for 20 minutes Craving
Active pre/post: 0.59
Anxiety
NA
A significant ↓ in cravings for crack cocaine compared to baseline scores, maintained with the presentation of crack-cocaine related cues
No changes in anxiety or cognitive performance were observed
Batista et al.74 N =36 A sham controlled clinical trial with crack-cocaine-dependent male participants 5 sessions of Ca left, An+ right DLPFC
or
5 sessions of sham
2 mA for 20 minutes Craving
Active pre/post: 3.15
Active vs. sham: 2.97
Depressive symptoms
Active pre/post: 0.60
Sham pre/post: 0.09
A significant ↓ in cravings for crack cocaine in the active tDCS group compared to baseline and sham
No significant differences between active and sham groups in depressive symptoms, post-treatment
Conti et al.72 N =13 A between subject, sham controlled study in crack cocaine-dependent participants Pt 1: 1 session of bilateral An+ right, Ca left DLPFC
or
1 session of sham Pt 2: 5 sessions of bilateral An+ right, Ca left DLPFC
or
5 sessions of sham
2 mA for 20 minutes P3 current density
Pt 1 left: 0.47 Pt 1 right: −0.9
Pt 2 left: 0.68 Pt 2 right: 0.55
None After a single session of active tDCS, P3 current density ↑ with neutral cues and ↓ with crack cues in the left DLPFC only, compared to sham
After 5 sessions of active tDCS, P3 current density for both neutral and crack cues in both the left and right hemispheres
Gorini et al.75 N =36 A within subjects, sham-controlled study in 18 cocaine-dependent participants and 18 healthy controls 1 session of An+ left, Ca right DLPFC
and
1 session of An+ right, Ca left DLPFC
and
1 session of sham
1.5 mA for 20 minutes Risk taking
Right An+ pre/post: 0.40
Left An+ pre/post: 0.76
None Left and right DLPFC stimulation resulted in a ↓ in risk taking behaviors for both cocaine-dependent participants and healthy controls
There was an ↑ in safety behaviors after right An+ stimulation and an ↑ in risk taking behaviors after left An+ stimulation These results were not observed in healthy controls

Methamphetamine: single active stimulation sessions (total N =32; one study)

Shahbabaie et al.76 N =32 A sham controlled, crossover study with male, MA-dependent participants (abstinent for >7 days) 1 session of An+ right DLPFC, Ca SOA
and
1 session of sham
2 mA for 20 minutes Craving (acute)
Sham vs. active: 0.22
Craving (cue-induced)
Active vs. sham: −0.07
A significant ↓ in acute MA cravings after active tDCS and a significant ↑ in cue-induced MA cravings were observed post-tDCS compared to sham

Opioids: single active stimulation sessions (total N =20; one study)

Wang et al.77 N =20 A sham controlled study with heroin-dependent participants 1 session of bilateral Ca FTP
or
1 session of sham
1.5 mA for 20 minutes Cue-induced craving
Active pre/post: 3.29 Active vs. sham: 3.02
None A significant ↓ in heroin cravings were observed, maintained with presentation of heroin related cues when compared to baseline scores and sham group

Cannabis: single active stimulation sessions (total N =25; one study)

Boggio et al.78 N =25 A sham controlled study with cannabis using participants (abstinent 24 hours) 1 session of An+ right, Ca left DLPFC
or
1 session of An+ left, Ca right DLPFC
or
1 session of sham
2 mA for 10 minutes Risk taking
Right An+ vs. sham: 4.45
Left An+ vs. sham: 3.33
Craving
Right: 1.89
Left: −0.75
A significant ↑ in risk taking propensity was observed in both active tDCS stimulation sessions
Active right An+ tDCS (but not left) was associated with significant ↓ in cannabis cravings

rTMS, repetitive transcranial magnetic stimulation; tDCS, transcranial direct current stimulation; DBS, deep brain stimulation; dTMS, deep transcranial magnetic stimulation; iTBS, intermittent theta burst stimulation; cTBS, continuous theta burst stimulation; dTMS, deep transcranial magnetic stimulation; RMT, resting motor threshold; Hz, hertz; Tx, treatment; DLPFC, dorsolateral prefrontal cortex; MOC, motor cortex; IFG, inferior frontal gyrus; SFG, superior frontal gyrus; PFC, prefrontal cortex; MPFC, medial prefrontal cortex; FTP, fronto-temporal parietal area; SOA, supra-orbital area; CSOA, contralateral supraorbital area; ACC, anterior cingulate cortex; NAc, nucleus accumbens; An+, anodal; Ca, cathodal; MDD, Major Depressive Disorder; SCZ, schizophrenia; OCD, obsessive compulsive disorder; mA, milliamp; CPD, cigarettes per day; NRT, nicotine replacement therapy; SDT, standard treatment; ↑, increase; ↓, decrease; NA, not assessed/ not available.

Deep Brain Stimulation (DBS)

DBS is a third neuromodulation technique which has been used to treat disorders such as Alzheimer’s disease, obsessive-compulsive disorder (OCD), and chronic pain. Unlike rTMS and tDCS, DBS involves an invasive surgical procedure, whereby varying numbers of electrodes are implanted directly into the brain, enabling continuous modulation of brain activity and subsequent changes in neuroplasticity.19 It has also demonstrated the ability to regulate abnormal brain impulses occurring in specified cortical regions. DBS may be able to trigger neurotransmitter release in the brain, depending on the regions of electrode implantation. In comparison to TBS which activates or inhibits neurons with lower frequencies to targeted areas, DBS uses very high frequencies to block neural transmissions.14 Once implanted into the individual’s brain, DBS electrodes are connected to an implantable pulse generator (IPG), typically inserted in the chest wall, allowing for easy modulation of parameters and continuous stimulation at a designated frequency (>130 Hz).19 Furthermore, due to its invasive nature, DBS may cause serious side effects associated with surgical procedures, such as infection, seizure, and stroke.19 Notably, once a patient has recovered from the original surgical procedure, DBS seems to be well-tolerated. The exact mechanisms by which DBS exerts its clinical effects remain unclear, however, the ability of DBS to directly manipulate neural circuits in reward pathways may target addictive behaviors. As such, DBS is being investigated as a possible treatment for SUDs. Nine studies investigating the use of DBS as treatment for SUDs have been identified, with 25 participants having received active or sham stimulation. See Table 3 and Figure 1C.

TABLE 3.

Deep brain stimulation (DBS) (total N = 25; total stuclies = 9)

Author Sample Study design Targeted region # of treatments Primary outcome measure and effect size Secondary outcome measure and effect size Results
Alcohol: continuous active stimulation session (total N = 9; three studies)

Muller et al.80 N = 3 Case reports with three alcohol-dependent male participants NAc Continuous Abstinence
NA
None At 1 year follow-up post DBS stimulation, two of three participants remained abstinent, while the third decreased number drinking days
Voges et al.81 N = 5 Case reports with male alcohol-dependent participants NAc Continuous Craving
4.57
Abstinence NA A significant decrease in alcohol cravings were observed across participants. 2/5 participants became abstinent from alcohol
Kuhn et al.83 N = 1 Case report with an alcohol-dependent participant NAc Continuous Craving
NA
Cognitive control NA DBS led to a decrease in alcohol consumption post-treatment

Tobacco: continuous active stimulation session (total N = 11; two studies)

Mantione et al.82 N = 1 Case report with a nicotine-dependent female participant with concurrent OCD NAc Continuous OCD symptoms
NA
Craving
NA
Participant originally underwent DBS procedure for symptoms of OCD
A decrease in both nicotine craving and cigarette consumption was also observed
Kuhn et al.83 N = 10 A retrospective, self-report, longitudinal study with nicotine-dependent participants NAc Continuous Dependence
Active pre vs. post: 0.43
None 3/10 participants quit smoking post-treatment

Cocaine: continuous stimulation session (total N = 1; one study)

Goncalves-Ferreira et al.84 N = 1 A longitudinal, crossover case study with a 36-year-old cocaine-dependent male participant NAc Continuous Craving
NA
Consumption
NA
Active DBS decreased craving and consumption of cocaine

Opioids: continuous active stimulation session (total N = 4; three studies)

Kuhn et al.85 N = 2 Case report with heroin-dependent participants NAc Continuous Craving
NA
Depressive symptoms
NA
DBS led to a decrease in opioid use and a significant decline in depressive symptoms in both participants
Valencia Alfonso et al.86 N = 1 Case report of a 47-year-old male with refractory heroin dependence NAc Continuous Consumption
NA
Desire to use
NA
A decrease in desire to use and consumption of heroin was observed with active DBS treatment
Zhou et al.87 N = 1 Case report with a heroin-dependent participant NAc Continuous Abstinence
NA
Relapse
NA
Patient became abstinent from heroin use for 5 years without relapse, and also decreased cigarette consumption significantly (from 40 to 10 CPD)

rTMS, repetitive transcranial magnetic stimulation; tDCS, transcranial direct current stimulation; DBS, deep brain stimulation; dTMS, deep transcranial magnetic stimulation; iTBS, intermittent theta burst stimulation; cTBS, continuous theta burst stimulation; dTMS, deep transcranial magnetic stimulation; RMT, resting motor threshold; Hz, hertz; Tx, treatment; DLPFC, dorsolateral prefrontal cortex; MOC, motor cortex; IFG, inferior frontal gyrus; SFG, superior frontal gyrus; PFC, prefrontal cortex; MPFC, medial prefrontal cortex; FTP, fronto-temporal parietal area; SOA, supra-orbital area; CSOA, contralateral supra-orbital area; ACC, anterior cingulate cortex; NAc, nucleus accumbens; An,+, anodal; Ca, cathodal; MDD, Major Depressive Disorder; SCZ, schizophrenia; OCD, obsessive compulsive disorder; mA, milliamp; CPD, cigarettes per day; NRT, nicotine replacement therapy; SDT, standard treatment; ↑, increase; ↓, decrease; NA, not assessed/not available.

METHODS

A comprehensive literature search (by A.C. and K.K.) was conducted using PubMed and Google Scholar. Articles published after 2000 in peer-reviewed academic journals were included. A combination of key search terms was used to locate the articles for this review, including: non-invasive brain stimulation, repetitive transcranial magnetic stimulation, rTMS, transcranial direct current stimulation, tDCS, deep brain stimulation, DBS, addiction, substance use disorder, abuse, dependence, alcohol, tobacco, smoking, nicotine, cocaine, cannabis, amphetamines, opioids, treatment, therapy, craving, and consumption. Inclusion criteria also consisted of participants who met DSM-IV criteria for substance abuse or dependence, or DSM-5 criteria for substance use disorders. Only studies whose primary and/or secondary outcomes were related to substance use outcomes (ie, consumption, abstinence, craving, and withdrawal) or drug cue-induced neurophysiological/functional imaging changes were included in this review. This process yielded 69 studies, of which nine were excluded14,2027 that did not meet these criteria.

RESULTS

Repetitive Transcranial Magnetic Stimulation (rTMS)

Alcohol

To date, nine studies2836 have investigated the potential efficacy of rTMS in the treatment of alcohol use disorder, with mixed results. Six studies28,3236 examined the effects of multiple sessions of rTMS (10–20 sessions) targeting the dorsolateral prefrontal cortex (DLPFC) or medial prefrontal cortex (mPFC), using a randomized, sham controlled study design. Findings from all six studies demonstrated a significant decrease in alcohol-related cravings or consumption post-active rTMS treatment. However, three other studies2931 found opposing results: rTMS to the DLPFC did not have significant effects on alcohol craving or consumption. Notably, these studies involved fewer total rTMS treatment sessions, which may explain the lack of efficacy in these trials (Table 1).

Tobacco

Eleven studies3747 were conducted to investigate the use of rTMS on tobacco use disorder (nicotine dependence). Apart from Li et al.,37 all studies demonstrated positive effects of rTMS, via reduction in nicotine cravings and/or overall cigarette consumption post-active stimulation compared to baseline and sham data. Nine studies3743,45,47 directed stimulation at either the left or the right DLPFC with a stimulation frequency of 1–20 Hz.

Rose et al.46 applied 1 and 10 Hz rTMS stimulation to the superior frontal gyrus and motor cortex (sham condition), which demonstrated differential effects after smoking cue presentation. In the neutral cue condition, 10 Hz stimulation reduced craving significantly compared to both 1 Hz and sham conditions. Notably, craving was significantly increased in the 10 Hz condition with the presentation of smoking cues.46 In contrast, Dinur Klein et al.44 applied 1 and 10 Hz stimulation to the lateral prefrontal cortex and insula, resulting in a significant decline in consumption in the 10 Hz condition only.

Cocaine

Four studies4851 investigated the effects of rTMS on craving for cocaine in dependent adult participants. The number of treatment sessions ranged from 1 to 12, with a frequency range between 5 and 20 Hz. Three4951 of these studies demonstrated positive results, with a significant reduction in craving for cocaine, with the exception of Bolloni et al.48 who found no significant change in craving compared to sham, although long-term reduction in consumption was significant when considering time as a factor.

Methamphetamine

Thus far, there have been only three studies investigating rTMS for methamphetamine (MA) dependence.5254 Su et al.52 applied five sessions of 10 Hz rTMS to the left DLPFC. Results indicated a significant reduction in cravings for MA compared to sham stimulation. Conversely, Li et al.53 studied the effects of two sessions of rTMS in MA-dependent participants and demonstrated no significant impact of rTMS on craving or consumption of MA, compared to sham.53 A third study by Liu et al.54 studied the effects of five sessions of rTMS to the left or right DLPFC in both 1 and 10 Hz conditions compared to sham, with a significant reduction in cue-induced craving across all four stimulation conditions compared to sham.

Cannabis

A single study55 investigated the use of rTMS on cannabis craving in a crossover, sham-controlled study, using a single session of 10 Hz stimulation to the left DLPFC in cannabis-dependent participants. There were no significant reductions in craving scores between active and sham stimulation groups.55

Transcranial Direct Current Stimulation (tDCS)

Alcohol

Seven studies5662 have been conducted examining the effects of tDCS as a possible treatment for alcohol use disorder. Of these studies, six56,57,5962 have demonstrated positive effects of tDCS on alcohol craving and/or consumption. Notably, in a study by Da Silva et al,61 although craving was significantly attenuated in the active group, active tDCS resulted in a significant increase in relapse rates. Furthermore, one study60 showed that although tDCS had no significant effect on attenuation of alcohol cravings or acute consumption, abstinence rates improved significantly at 6-month follow-up. Finally, a study by Nakamura-Palacios et al.58 investigated the effects of neutral versus active cues on P3 amplitudes, with positive results. All studies varied on stimulation parameters, with no apparent pattern associated with either positive or non-significant results (Table 2).

Tobacco

Eight studies6370 have examined the effects of tDCS on nicotine craving in dependent participants. All studies applied 2.0 mA stimulation for 15–30 minutes, except one by Falcone et al.,70 who used a stimulation intensity of 1.0 mA for 20 minutes. Five6466,68,70 of the aforementioned studies demonstrated positive effects on nicotine cravings and/or consumption, with significant reductions seen across participants. In contrast, three additional studies63,67,69 observed no significant effect on craving or consumption of tobacco; two of these studies67,69 used a single stimulation session of tDCS, and the third63 used a sample that consisted of patients with a diagnosis of schizophrenia or schizoaffective disorder, which may have contributed to the negative findings, as this population tends to be more highly nicotine dependent than non-psychiatric populations.

Cocaine

Five studies7175 have been conducted to understand the effects of tDCS on cocaine use disorder. Two studies73,74 examined the effects of tDCS on craving in this population using 2 mA stimulation for 20 minutes with positive results (Table 2). Gorini et al.75 applied contralateral stimulation of 1.5 mA to participants with cocaine dependence and controls, finding significant decreases in indices of risk-taking behavior. Finally, tDCS to the bilateral DLPFC reduced anterior cingulate activation71 and increased P3 physiological responses.72

Methamphetamine

Shahbabaie et al.76 conducted a study using one session of 2.0 mA tDCS to the right DLPFC over 20 minutes in MA-dependent participants. While a significant reduction in acute MA cravings was observed at rest, an increase in cue-induced MA cravings was reported 20 minutes post-treatment.

Opioids

A single study conducted by Wang et al.77 investigated the effects of tDCS on craving scores of 20 heroin-dependent participants. In contrast to other tDCS research in SUD’s, this bilateral stimulation was applied to the fronto–temporal–parietal area (FTP). Despite this difference, investigators observed a significant decline in heroin craving, which persisted with the presentation of heroin-related cues.77

Cannabis

A study by Boggio et al.78 investigated the use of tDCS as a treatment for cannabis use disorder. Twenty-five chronic cannabis users received 10 Hz stimulation to either the left or right DLPFC. Results from this study showed that stimulation of the right DLPFC, but not the left, was associated with a decline in cannabis-related craving.78

Deep Brain Stimulation (DBS)

Alcohol

Three studies7981 investigated the effects of DBS on alcohol use disorder, applying active stimulation to the nucleus accumbens, showing a decrease in alcohol consumption or craving levels across studies (Table 3).

Tobacco

There have been two studies82,83 investigating the use of DBS on cigarette smoking and nicotine-dependence targeting the nucleus accumbens. Kuhn et al.83 conducted a study in nicotine craving and cigarette consumption. Of 10 nicotine-dependent participants, three quit smoking altogether, while the remaining seven participants demonstrated a significant decline in cravings and consumption. In another study,82 active DBS significantly reduced craving and consumption of cigarettes in a single subject who originally underwent DBS treatment for refractory OCD.

Cocaine

A single study84 investigated the effects of DBS on cocaine use in a single participant. Active DBS targeting the nucleus accumbens significantly reduced both craving and consumption of cocaine in this dependent participant.

Opioids

Recently, three studies8587 have examined the effects of active DBS on opioid consumption or craving in heroin-dependent participants, targeting the nucleus accumbens. All three studies demonstrated a significant decline in consumption and/or cravings and an increase in abstinent participants.

DISCUSSION

This article reviews current research on available neuromodulation techniques (rTMS, tDCS, DBS), and their potential safety and efficacy across a broad range of SUDs. Findings were mixed across all three stimulation methods, which may in part, be due to the variation in stimulation parameters (ie, frequency, intensity, duration of treatment, brain regions stimulated), differences in SUDs, the severity of these SUDs between participants in each study, as well as heterogeneity in the populations studied, including the presence of co-occurring psychiatric disorders.

With respect to effects of brain stimulation observed between SUDs, commonalities between rTMS and tDCS emerged. Studies utilizing rTMS observed promising findings in trials conducted in nicotine or stimulant (cocaine, methamphetamine) dependent samples, with 10/113745,47 and 5/74952,54 positive studies, respectively in domains of craving and/or consumption. Moreover, in alcohol-dependent participants, 6/9 studies28,3236 suggested reductions in alcohol craving and/or consumption after active rTMS treatment. Effect sizes (Cohen’s d) for rTMS on alcohol (−0.07–2.99), tobacco (−0.40–4.42), methamphetamine (−0.20–2.78), and cocaine (−1.82–3.58) were promising but highly variable, consistent with the (methodological) heterogeneity of the published studies (Table 1). Similarly, tDCS demonstrated comparable efficacy to rTMS in the treatment of nicotine and stimulant dependence: 5/8 studies6466,68,70 in nicotine dependence and 3/6 studies73,74,76 conducted in stimulant dependence (cocaine, methamphetamine) had positive study findings in measures of craving and/or consumption. This was further supported with medium to large effect sizes (Table 2). Specifically, in studies of tDCS on tobacco craving and consumption, there were variable effects (Cohen’s d’s −0.39–5.63), with similar variability observed for alcohol studies (Cohen’s d −0.18–4.25): Five of seven studies56,57,59,61,62 conducted in alcohol-dependent participants resulted in positive outcomes in domains of craving and/or consumption. Effect sizes for tDCS and cocaine (−0.90–3.15) were highly variable (N = 5), and for methamphetamine one study76 suggested a small effect size with acute treatment (d = 0.22). Finally, tDCS also showed promise in both cannabis and opioid use disorders, demonstrating positive results on craving after active treatment, as evidenced by a large effect for 1/1 study in opioids77 (d = 3.29), and 1/1 study in cannabis78 (d = −0.75–1.89).77,78

Finally, DBS trials were promising with positive results across all nine reviewed studies that used this technique in alcohol, nicotine, stimulant, and opioid-dependent samples. Nonetheless, available data with DBS is limited to case series so the ability to calculate resultant effect sizes is limited (Table 3), and further research is required to validate these findings, using larger sample sizes. Sample sizes of the DBS studies are very low (ranging 1–10; averaging 3.3 per study). These studies were primarily case series, and caution should be used when interpreting this data.

Findings Based on Stimulation Parameters

Stimulation parameters (ie, frequency, duration, brain region, and sample size/demographics) between and within the three brain stimulation methods also warrants comment. First, both rTMS and tDCS appear to be most effective when delivered using repeated versus single administration sessions, and these effects may vary as a function of treatment duration (including number of pulses, inter-stimulus intervals, and frequency of stimulation sessions). Further, the tDCS studies across the various SUDs, demonstrated that longer duration of treatment sessions (>10 minutes) had the most promising results. Moreover, the majority of positive studies utilized high-frequency (HF; >10 Hz) rTMS stimulation parameters (>10 Hz) in SUDs, while those using low-frequency (LF; <10 Hz) rTMS stimulation were associated with less promising outcomes.

Second, the effect of bilateral versus unilateral stimulation, as well as which brain region was targeted, appeared to have differential and distinctive effects. In rTMS and tDCS, nearly all studies conducted in treatment of SUDs targeted the left or right DLPFC. Exceptions to these brain targets for stimulation included two rTMS studies targeting the mPFC.32,33 Furthermore, Dinur-Klein et al.44 used rTMS to target the lateral prefrontal cortex and insula, while Rose et al.46 targeted the motor cortex and superior frontal gyrus. Two tDCS studies68,77 targeted the bilateral fronto–temporal–parietal area (FTP), with positive findings post-treatment, while a third study targeted the IFG.57 Despite variation in brain region targets, these studies all had positive outcomes for drug craving and/or consumption. However, based on both the number of studies conducted and the magnitude of effect sizes calculated, specifically targeting the right (vs. left) DLPFC was associated with the most promising treatment outcomes. With regards to DBS, all studies to date have targeted the nucleus accumbens (NAc), which is also an area of the brain associated with reward pathway in SUDs. Therefore, the importance of targeting regions of the brain relating to the reward pathway is supported with the most efficacious results on cravings/consumptions. Nonetheless, more systematic and comparative studies are needed to determine dose effects of stimulus intensity, duration, and laterality. Moreover, few of the studies have followed subjects in the long-term (eg, 3–6 months post-treatment) to determine durability of neuromodulation effects. Additionally, comparative studies between brain regions and between treatment modalities have generally not been performed in a rigorous manner, and warrant further research.

Finally, since most of the published studies were preliminary (with total sample sizes <40), further research in larger patient samples using randomized, sham-controlled designs are necessary to validate these brain stimulation methods for the treatment of SUDs. Notably, four studies involved the use of participants with a comorbid psychiatric condition.32,45,63,82 For instance, Wing et al.45 used rTMS in a sample consisting of 15 participants with a primary diagnosis of schizophrenia. Despite this comorbidity, cravings for nicotine decreased significantly across participants. As this vulnerable population is 2–3 times more likely to smoke cigarettes and tend to be more highly nicotine dependent, rTMS may be a promising treatment option for patients with schizophrenia and comorbid tobacco use disorder.45 Another study by Smith63 used tDCS in a sample of patients with schizophrenia and concurrent nicotine dependence, but found that five sessions of stimulation had no significant effect on craving or consumption in this group. Furthermore, a study by Ceccanti et al.32 studied participants with co-occurring dysthymic disorder and alcohol use disorder, with positive results indicating a significant decline in consumption after ten sessions of active rTMS. Finally, Mantione82 implemented DBS in a woman with treatment refractory OCD. While this effect was unintended, the participant saw a significant decline in craving and consumption of cigarettes after DBS stimulation. Therefore, co-occurring disorders (ie, schizophrenia, mood, and anxiety) may be important determinants of the efficacy of these stimulation techniques. Further studies are warranted to understand the potential differential effects of brain stimulation in co-occurring disorders.

Other Neuromodulation Modalities

While other neuromodulation methods such as Electroconvulsive therapy (ECT), Magnetic Seizure Therapy (MST), and Transcranial Electric Stimulation (TES) are used, studies examining their effects on SUDs in human subjects are extremely limited. A single study88 has investigated the effects of ECT on methamphetamine use disorders in a single participant, with positive results on withdrawal induced delirium and craving scores.88

Directions for Future Research

While research on brain stimulation methods for the treatment of SUDs has shown considerable promise,3 are preliminary and further research is needed. Future research should aim to identify optimal stimulation parameters for all three stimulation methods (rTMS, tDCS, DBS) with specific regard to duration and total number of stimulation treatments, targeted brain region, stimulation frequency or intensity, and proximity between treatments (ie, four treatments over 2 days versus four treatments over 4 days). Additionally, investigations to understand the lasting effects of each stimulation treatment method and the potential necessity of maintenance treatment sessions are critical for prolonging treatment effects. Studies examining the effects of brain stimulation while participants are undergoing fMRI scanning may be beneficial to understand the changes in targeted brain regions during stimulation sessions.

Additionally, studies comparing brain stimulation methods in SUDs may be beneficial to understand differences in efficacy between techniques. Furthermore, studies investigating patients with polysubstance use disorders and co-occurring psychiatric disorders are warranted, as some 7.9 million individuals in 2015 had co-occurring SUDs and mental illness in the U.S.1 Moreover, studies investigating the effects of brain stimulation in participants with polysubstance use may also be beneficial, as the use of only one substance is relatively uncommon. Finally, studies to understand the potential benefits of concurrent therapies (pharmacological, behavioral) used in combination with brain stimulation may increase a participant’s chances of becoming abstinent. For example, Trojak41 used rTMS in combination with nicotine replacement therapy (NRT) in the form of a patch, with positive results: 16 of 37 participants became abstinent from cigarettes after treatment.

We believe this article is a unique contribution to the literature on neuromodulation and SUDs for the following reasons: (1) We calculate effect sizes of individual studies across modalities and SUDs in order to identify areas of promise and gaps in the field; (2) We attempt to provide a systematic review of this topic, with clear inclusion and exclusion criteria for the reviewed studies, and; (3) we included several new studies on brain stimulation and SUDs which have been published since the review by Salling and Martinez.4

Limitations of the Current Review

There are certain limitations of the current review. First, the total number of studies examining the effects of brain stimulation techniques within each SUD is highly variable. Accordingly, the effectiveness of different neuromodulation techniques on certain SUDs should be considered preliminary. Second, there are several gaps in the literature that are worth noting, including: the lack of systematic study of optimal brain stimulation parameters in SUDs, lack of combination studies with approved pharmacological, and behavioral treatments, and a paucity of studies in co-morbid psychiatric and medical disorders.

CONCLUSIONS

In conclusion, the use of neuromodulation techniques (rTMS, tDCS, DBS) may be a promising treatment option for SUDs. Nonetheless, there is a need for further empirical data in this emerging field, which is particularly important given the high rates for relapse and polysubstance use in this vulnerable population.

Acknowledgments

This work was supported in part by Canadian Institutes of Health Research (CIHR) operating grant MOP#115145, the Chair in Addiction Psychiatry at the University of Toronto, and NIDA grant 1R21-DA-043949 to Dr. George. We gratefully acknowledge the comments of Mera S. Barr, PhD, and Dr. Sarah S. Dermody on an earlier version of the manuscript.

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